WEB BROWSING ENHANCED BY CLOUD COMPUTING

• US 20130031459A1
• Filed: 07/27/2011
• Published: 01/31/2013
• Est. Priority Date: 07/27/2011
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: KHORASHADI, Behrooz, RESHADI, Mohammad H., DAS, Saumitra M.
• Granted Patent: US 9,146,909 B2
• Time in Patent Office: Days
• US Class Current: 715/234
• CPC Class Codes: G06F 16/94 Hypermedia Hyperlinking G06F40/134
• CPC Class Codes: G06F 16/9577 Optimising the visualization of content, e.g. distillation of HTML documents
• CPC Class Codes: G06F 40/143 Markup, e.g. Standard Generalized Markup Language [SGML] or Document Type Definition [DTD]

Abstract

Methods and devices include a server and at least two web browsers operable on at least two different computing devices. Each browser reports results of processing and rendering of webpages to the server. The server aggregates the data. The server generates metadata from the aggregated browsers. The server transmits the generated metadata to at least one computing device. The computing device renders a webpage using at least a portion of the provided metadata. The metadata may identify portions of JavaScript that can be processed in parallel. The metadata may identify a library portion that does not have to be loaded. The metadata may identify a portion of the webpage that may be rendered first before a second portion of the webpage. Returning metadata to the computing device can assist the computing device in parsing, analyzing or executing the request for the webpage.

Claims

1. A method for rendering a webpage on a computing device, comprising:

transmitting a request for a webpage from the computing device;

transmitting a request from the computing device for a browser assistant; and

returning metadata to the computing device to assist the computing device in parsing, analyzing, or executing the request for the webpage.

2. The method of claim 1, wherein the metadata returned to the computing device comprises data selected from the group consisting of:

JavaScript function execution probabilities;

AST data for parsing data;

script token data;

lexing information;

returned binary code from data processed at a server to assist the computing device;

CSS metadata to assist in processing CSS webpage data at the computing device;

JavaScript metadata to assist in processing JavaScript webpage data at the computing device;

HTML metadata to assist in processing HTML webpage data at the computing device; and

combinations thereof.

3. The method of claim 1, wherein the metadata returned to the computing device comprises a plurality of observed users browsing statistics,

the method further comprising using the plurality of observed browsing statistics to assist in loading portions of the webpage at the computing device before other portions.

4. The method of claim 1, wherein the metadata returned to the computing device comprises statistics regarding a portion of code that has a predetermined probability of execution.

5. The method of claim 1, wherein the metadata returned to the computing device comprises translated binary code resulting from JavaScript code executed on a server,

the method further comprising transmitting the binary code to the computing device to maximize processing at the server and minimize processing at the computing device.

6. The method of claim 1, further comprising:

sending analytics that correlate to portions of the webpage that are popular so a web browser on the computing device loads the popular portions first.

7. The method of claim 1, further comprising:

gathering habits of a user of the computing device; and

preloading into memory webpage elements frequently accessed by the user.

8. The method of claim 1, further comprising:

gathering in a server usage information from a plurality of users corresponding to popular data of the plurality of web users; and

generating metadata based on the usage information and an analysis of habits of the plurality of web users.

9. The method of claim 1, further comprising:

sending metadata from a local network computer to the computing device;

gathering usage information from a plurality of users corresponding to popular data of other web users; and

generating metadata using the local network computer.

10. The method of claim 1, further comprising:

gathering aggregate information on browsing habits based on a plurality of users as the users use a web browser;

monitoring the plurality of users to generate the browsing habits using an instrumented web browser; and

generating metadata based on the browsing habits of the plurality of users.

11. The method of claim 1, further comprising:

generating metadata indicating a library is frequently downloaded;

describing in the metadata that the library has a portion that is statistically likely needed before other portions for execution based on observed statistical information; and

downloading the portion of the library first based on the metadata.

12. The method of claim 11, further comprising:

determining that the library has a most likely executable library portion based on statistical data; and

downloading the most likely executable library portion first before other portions of the library.

13. The method of claim 1, further comprising:

monitoring a plurality of users during browsing;

generating metadata indicating a statistical percentage of users are likely to view a first portion of a webpage before other portions; and

transmitting the first portion first to the computing device before other portions of the webpage.

14. The method of claim 1, wherein the metadata comprises a profile for a user of the computing device, the method further comprising:

generating metadata indicating a statistical percentage that the user is likely to view a first portion of a webpage before other portions based on the profile;

generating metadata indicating a statistical percentage that the user is not likely to view a second portion of a webpage;

downloading the first portion first to the computing device before other portions of the webpage; and

downloading the second portion a time period after the first portion.

15. The method of claim 1, further comprising:

generating metadata indicating habits of other users browsing;

determining which portions of webpages are statistically likely to be accessed before other portions of the webpage based on the metadata;

determining that a second portion is likely not accessed frequently; and

communicating in the metadata that the second portion is not accessed frequently and downloaded lower in priority than portions statistically likely to be accessed.

16. The method of claim 1, further comprising:

linking to a server via a wireless network;

associating a browser with the server; and

collecting information for use by the computing device from the browser.

17. The method of claim 1, further comprising:

providing hints using the metadata for a web browser to parse, analyze or execute the request that comprises JavaScript;

determining that the JavaScript is inefficient to process at the computing device; and

transmitting a binary pre-compiled translation of the JavaScript.

18. The method of claim 1, further comprising:

aggregating statistics regarding a plurality of web users browsing habits and habits involved in the web users viewing webpages;

delivering the statistics in the metadata;

using the statistics to conserve mobile resources by preloading statistically popular webpages before the webpages are requested at the computing device;

downloading portions of the webpage that are popular; and

omitting downloading second portions of the webpage that are not popular to conserve mobile resources.

19. The method of claim 1, further comprising:

sending browsing data from an Internet browser to a server; and

generating the metadata from the browser data in the server.

20. The method of claim 1, further comprising:

sending data from an instrumental browser to a server; and

generating the metadata from the data.

21. The method of claim 1, wherein the metadata returned to the computing device comprises metadata from a peer device to the computing device that correlates to portions of the webpage that are popular with computing devices connected to the peer device so a web browser on the computing device loads the popular portions first.

22. The method of claim 1, further comprising:

providing a client side monitoring system of browsing habits of a second computing device;

sending the browsing habits to a server; and

sending metadata from the server to the computing device based on the client side monitoring system of the browsing habits of the second computing device.

23. The method of claim 1, further comprising:

generating metadata from browsing habits that comprise requests and responses to requests; and

providing the metadata to a peer device that is a peer of the computing device.

24. The method of claim 1, further comprising:

monitoring browsing habits of a plurality of users;

sending the browsing habits to a server;

formulating a plurality of observed profiles of the plurality of users based on the monitored browsing habits;

monitoring the browsing habits of a computing device user; and

returning metadata from the server to the computing device based on at least one observed profile that matches the computing device user based on the monitored browsing habits.

25. The method of claim 1, further comprising:

describing in the metadata that a portion of code is at least one of analyzed downloaded, parsed, or executed more often than a second portion; and

reordering and downloading the portion of the library first before the second portion.

26. The method of claim 1, further comprising:

describing in the metadata that a library includes a portion that is determined most likely to be executed; and

downloading the most likely to be executed library portion before other portions of the library.

27. The method of claim 1, further comprising:

transmitting the request for the browser assistant that is located on a server;

determining that a web site is frequently accessed by the computing device; and

uploading updated web site data to the computing device.

28. The method of claim 1, further comprising:

downloading first portions of webpages using the computing device before second portions based on statistical browsing habits contained in the metadata.

29. The method of claim 1, further comprising:

preloading portions of webpages using the computing device with the preloaded portions being identified using statistical browsing habits contained in the metadata.

30. The method of claim 1, further comprising:

monitoring browsing habits from a plurality of users;

determining that a webpage comprising webpage elements is frequently accessed;

storing webpage elements on a cache based on the browsing habits to prevent the webpage elements from being deleted on the computing device; and

downloading the webpage elements from the cache before an anticipated request.

31. The method of claim 30, further comprising:

monitoring browsing habits that are derived from a single user'"'"'s browsing habits;

updating the webpage stored on the cache;

pushing elements on the cache to the computing device at periodic intervals without the request;

updating the webpage stored on the cache; and

pulling elements on the cache to the computing device.

32. The method of claim 1, further comprising:

returning metadata that allows the computing device to execute the webpage in a more efficient manner by executing necessary portions; and

forgoing executing an entire webpage.

33. The method of claim 1, further comprising:

providing that the browser assistant is located on a server that is the same server that responds to the request for the webpage;

or

providing that the browser assistant is located on a peer computer device;

or

providing that the browser assistant is located on a network device.

34. The method of claim 1, further comprising:

transmitting a request for a webpage, wherein the webpage includes portions;

processing the portions using the browser assistant to result in native code; and

returning native code to the computing device,

wherein the portions comprise JavaScript, and

wherein the browser assistant is located on one of a server, a network computer, or a peer device.

35. The method of claim 1, further comprising:

transmitting a request for data;

transmitting a request to a first device;

returning metadata to a second device; and

describing portions of the webpage in the metadata that have a likely statistical chance of execution based on monitored empirical data of requests and responses to requests.

36. The method of claim 1, further comprising returning metadata to the computing device in advance by pre-caching the metadata to assist the computing device in parsing, analyzing, or executing the request for the webpage.

37. A computing device, comprising:

a display;

an internal memory; and

a processor coupled to the display and the internal memory, wherein the processor is configured with processor-executable instructions to perform operations comprising;

transmitting a request for a webpage;

transmitting a request for a browser assistant; and

receiving metadata to assist the computing device in parsing, analyzing, or executing the request for the webpage.

38. The computing device of claim 37, wherein the processor is configured with processor-executable instructions to perform operations such that receiving metadata comprises receiving data selected from the group consisting of:

JavaScript function execution probabilities;

AST data for parsing data;

script token data;

lexing information;

returned binary code from data processed at a server to assist the computing device;

CSS metadata to assist in processing CSS webpage data at the computing device;

JavaScript metadata to assist in processing JavaScript webpage data at the computing device;

HTML metadata to assist in processing HTML webpage data at the computing device;

and combinations thereof.

39. The computing device of claim 37, wherein:

the processor is configured with processor-executable instructions to perform operations such that receiving metadata comprises receiving a plurality of observed users browsing statistics; and

the processor is configured with processor-executable instructions to perform operations further comprising using the plurality of observed browsing statistics to assist in loading portions of the webpage before other portions.

40. The computing device of claim 37, wherein the processor is configured with processor-executable instructions to perform operations such that receiving metadata comprises receiving statistics regarding a portion of code that has a predetermined probability of execution.

41. The computing device of claim 37, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

receiving metadata that comprises translated binary code resulting from JavaScript code executed on a server to maximize processing at the server and minimize processing at the computing device.

42. The computing device of claim 37, wherein the processor is configured with processor-executable instructions to perform operations such that receiving metadata comprises receiving analytics that correlate to portions of the webpage that are popular so a web browser on the computing device loads the popular portions first.

43. The computing device of claim 37, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

monitoring web browsing habits of a user of the computing device;

sending information regarding the user web browsing habits to a server; and

receiving metadata from the server based in part on the user web browsing habits.

44. The computing device of claim 37, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

monitoring web browsing habits of a user of the computing device; and

preloading into memory webpage elements frequently accessed by the user

45. The computing device of claim 37, wherein:

the processor is configured with processor-executable instructions to perform operations such that receiving metadata comprises receive metadata indicating a library is frequently downloaded, wherein described in the metadata the library has a portion that is statistically likely needed before other portions for execution based on observed statistical information; and

the processor is configured with processor-executable instructions to perform operations further comprising downloading the portion of the library first based on the metadata.

46. The computing device of claim 45, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

determining that the library has a most likely executable library portion based on statistical data; and

downloading the most likely executable library portion first before other portions of the library.

47. The computing device of claim 37, wherein:

the processor is configured with processor-executable instructions to perform operations such that receiving metadata comprises receiving metadata from a peer device that correlates to portions of the webpage that are popular with computing devices connected to the peer device; and

the processor is configured with processor-executable instructions to perform operations further comprising loading the popular portions first on a web browser.

48. The computing device of claim 37, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

generating metadata from browsing habits that comprise requests and responses to requests; and

providing the metadata to a peer device of the computing device.

49. The computing device of claim 37, wherein:

the processor is configured with processor-executable instructions to perform operations such that receiving metadata comprises receiving metadata indicating that a first portion of code is at least one of analyzed downloaded, parsed, or executed more often than a second portion; and

the processor is configured with processor-executable instructions to perform operations further comprising reordering and downloading the first portion of the library before the second portion.

50. The computing device of claim 37, wherein:

the processor is configured with processor-executable instructions to perform operations such that receiving metadata comprises receiving metadata indicating that a library includes a portion that is determined most likely to be executed; and

the processor is configured with processor-executable instructions to perform operations further comprising downloading the most likely to be executed library portion before other portions of the library.

51. The computing device of claim 37, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

downloading first portions of webpages before other portions based on statistical browsing habits contained in the received metadata.

52. The computing device of claim 37, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

preloading portions of webpages identified using statistical browsing habits contained in the metadata.

53. The computing device of claim 37, wherein:

the processor is configured with processor-executable instructions to perform operations such that receiving metadata comprises receiving metadata that allows the computing device to execute the webpage in a more efficient manner by executing necessary portions; and

the processor is configured with processor-executable instructions to perform operations further comprising forgoing executing an entire webpage.

54. The computing device of claim 37, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

pre-caching the received metadata to assist the computing device in parsing, analyzing, or executing the request for the webpage.

55. A non-transitory computer-readable storage medium having stored thereon processor executable instructions configured to cause a computing device processor to perform operations comprising:

transmitting a request for a webpage;

transmitting a request for a browser assistant; and

receiving metadata to assist the computing device processor in parsing, analyzing, or executing the request for the webpage.

56. The non-transitory processor readable medium of claim 55, wherein the stored processor-executable instructions are configured to cause the computing device processor to perform operations further such that receiving metadata comprises receiving data selected from the group consisting of:

JavaScript function execution probabilities;

AST data for parsing data;

script token data;

lexing information;

returned binary code from data processed at a server to assist the computing device;

CSS metadata to assist in processing CSS webpage data at the computing device;

JavaScript metadata to assist in processing JavaScript webpage data at the computing device;

HTML metadata to assist in processing HTML webpage data at the computing device;

and combinations thereof.

57. The non-transitory processor readable medium of claim 55, wherein:

the stored processor-executable instructions are configured to cause the computing device processor to perform operations such that receiving metadata comprises receiving a plurality of observed users browsing statistics; and

the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising using the plurality of observed browsing statistics to assist in loading portions of the webpage before other portions.

58. The non-transitory processor readable medium of claim 55, wherein the stored processor-executable instructions are configured to cause the computing device processor to perform operations such that receiving metadata comprises receiving statistics regarding a portion of code that has a predetermined probability of execution.

59. The non-transitory processor readable medium of claim 55, wherein the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising:

receiving metadata that comprises translated binary code resulting from JavaScript code executed on a server to maximize processing at the server and minimize processing at the computing device.

60. The non-transitory processor readable medium of claim 55, wherein the stored processor-executable instructions are configured to cause the computing device processor to perform operations such that receiving metadata comprises receiving analytics that correlate to portions of the webpage that are popular so a web browser on the computing device loads the popular portions first.

61. The non-transitory processor readable medium of claim 55, wherein the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising:

monitoring web browsing habits of a user of the computing device;

sending information regarding the user web browsing habits to a server; and

receiving metadata from the server based in part on the user web browsing habits.

62. The non-transitory processor readable medium of claim 55, wherein the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising:

monitoring web browsing habits of a user of the computing device; and

preloading into memory webpage elements frequently accessed by the user

63. The non-transitory processor readable medium of claim 55, wherein:

the stored processor-executable instructions are configured to cause the computing device processor to perform operations such that receiving metadata comprises receive metadata indicating a library is frequently downloaded, wherein described in the metadata the library has a portion that is statistically likely needed before other portions for execution based on observed statistical information; and

the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising downloading the portion of the library first based on the metadata.

64. The non-transitory processor readable medium of claim 63, wherein the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising:

determining that the library has a most likely executable library portion based on statistical data; and

downloading the most likely executable library portion first before other portions of the library.

65. The non-transitory processor readable medium of claim 55, wherein:

the stored processor-executable instructions are configured to cause the computing device processor to perform operations such that receiving metadata comprises receiving metadata from a peer device that correlates to portions of the webpage that are popular with computing devices connected to the peer device; and

the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising loading the popular portions first on a web browser.

66. The non-transitory processor readable medium of claim 55, wherein the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising:

generating metadata from browsing habits that comprise requests and responses to requests; and

providing the metadata to a peer device of the computing device.

67. The non-transitory processor readable medium of claim 55, wherein:

the stored processor-executable instructions are configured to cause the computing device processor to perform operations such that receiving metadata comprises receiving metadata indicating that a first portion of code is at least one of analyzed downloaded, parsed, or executed more often than a second portion; and

the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising reordering and downloading the first portion of the library before the second portion.

68. The non-transitory processor readable medium of claim 55, wherein:

the stored processor-executable instructions are configured to cause the computing device processor to perform operations such that receiving metadata comprises receiving metadata indicating that a library includes a portion that is determined most likely to be executed; and

the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising downloading the most likely to be executed library portion before other portions of the library.

69. The non-transitory processor readable medium of claim 55, wherein the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising:

downloading first portions of webpages before second portions based on statistical browsing habits contained in the received metadata.

70. The non-transitory processor readable medium of claim 55, wherein the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising:

preloading portions of webpages identified using statistical browsing habits contained in the metadata.

71. The non-transitory processor readable medium of claim 55, wherein:

the stored processor-executable instructions are configured to cause the computing device processor to perform operations such that receiving metadata comprises receiving metadata that allows the computing device to execute the webpage in a more efficient manner by executing necessary portions; and

the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising forgoing executing an entire webpage.

72. The non-transitory processor readable medium of claim 55, wherein the stored processor-executable instructions are configured to cause the computing device processor to perform operations further comprising:

pre-caching the received metadata to assist the computing device in parsing, analyzing, or executing the request for the webpage.

73. A computing device, comprising:

means for transmitting a request for a webpage;

means for transmitting a request for a browser assistant; and

means for receiving metadata to assist the computing device in parsing, analyzing, or executing the request for the webpage.

74. The computing device of claim 73, wherein means for receiving metadata comprises means for receiving data selected from the group consisting of:

JavaScript function execution probabilities;

AST data for parsing data;

script token data;

lexing information;

returned binary code from data processed at a server to assist the computing device;

CSS metadata to assist in processing CSS webpage data at the computing device;

JavaScript metadata to assist in processing JavaScript webpage data at the computing device;

HTML metadata to assist in processing HTML webpage data at the computing device;

and combinations thereof.

75. The computing device of claim 73, wherein means for receiving metadata comprises means for receiving a plurality of observed users browsing statistics.

the computing device further comprising means for using the plurality of observed browsing statistics to assist in loading portions of the webpage before other portions.

76. The computing device of claim 73, wherein means for receiving metadata comprises means for receiving statistics regarding a portion of code that has a predetermined probability of execution.

77. The computing device of claim 73, further comprising:

means for receiving metadata that comprises translated binary code resulting from JavaScript code executed on a server to maximize processing at the server and minimize processing at the computing device.

78. The computing device of claim 73, wherein means for receiving metadata comprises means for receiving analytics that correlate to portions of the webpage that are popular so a web browser on the computing device loads the popular portions first.

79. The computing device of claim 73, further comprising:

means for monitoring web browsing habits of a user of the computing device;

means for sending information regarding the user web browsing habits to a server; and

means for receiving metadata from the server based in part on the user web browsing habits.

80. The computing device of claim 73, further comprising:

means for monitoring web browsing habits of a user of the computing device; and

means for preloading into memory webpage elements frequently accessed by the user

81. The computing device of claim 73, wherein:

means for receiving metadata comprises means for receiving metadata indicating a library is frequently downloaded, wherein described in the metadata the library has a portion that is statistically likely needed before other portions for execution based on observed statistical information; and

the mobile device further comprises means for downloading the portion of the library first based on the metadata.

82. The computing device of claim 81, further comprising:

means for determining that the library has a most likely executable library portion based on statistical data; and

means for downloading the most likely executable library portion first before other portions of the library.

83. The computing device of claim 73, wherein:

means for receiving metadata comprises means for receiving metadata from a peer device that correlates to portions of the webpage that are popular with computing devices connected to the peer device; and

the mobile device further comprises means for loading the popular portions first on a web browser.

84. The computing device of claim 73, further comprising:

means for generating metadata from browsing habits that comprise requests and responses to requests; and

means for providing the metadata to a peer device of the computing device.

85. The computing device of claim 73, wherein:

means for receiving metadata comprises means for receiving metadata indicating that a first portion of code is at least one of analyzed downloaded, parsed, or executed more often than a second portion; and

the mobile device further comprises means for reordering and downloading the first portion of the library before the second portion.

86. The computing device of claim 73, wherein:

means for receiving metadata comprises means for receiving metadata indicating that a library includes a portion that is determined most likely to be executed; and

the mobile device further comprises means for downloading the most likely to be executed library portion before other portions of the library.

87. The computing device of claim 73, further comprising:

means for downloading first portions of webpages before second portions based on statistical browsing habits contained in the received metadata.

88. The computing device of claim 73, further comprising:

means for preloading portions of webpages identified using statistical browsing habits contained in the metadata.

89. The computing device of claim 73, wherein:

means for receiving metadata comprises means for receiving metadata that allows the computing device to execute the webpage in a more efficient manner by executing necessary portions; and

the mobile device further comprises means for forgoing executing an entire webpage.

90. The computing device of claim 73, further comprising:

means for pre-caching the received metadata to assist the computing device in parsing, analyzing, or executing the request for the webpage.

91. A server, comprising:

a processor;

a network interface coupled to the processor and configured to enable the processor to communicate with a cellular communication network; and

a memory coupled to the processor,

wherein the processor is configured with processor-executable instructions to perform operations comprising;

receiving a request for a webpage from a computing device;

receiving a request for a browser assistant from the computing device; and

returning to the computing device the requested webpage plus metadata configured to assist the computing device in parsing, analyzing, or executing the requested webpage.

92. The server of claim 91, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

receiving from a plurality of computing devices web usage information regarding web usage habits of users of the plurality of computing devices; and

generating the metadata based on the received usage information and an analysis of web usage habits of the users of the plurality of computing devices.

93. The server of claim 91, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

transmitting a binary pre-compiled translation of JavaScript within the requested webpage to the computing device.

94. The server of claim 91, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

gathering aggregate information on browsing habits of users of a plurality of computing devices, wherein the aggregate information is provided by instrumented web browsers operating on the plurality of computing devices; and

generating the metadata based on aggregate information on browsing habits of users of the plurality of computing devices.

95. The server of claim 94, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

determining from the aggregate information on browsing habits of users of the plurality of computing devices when users are likely to view a first portion of a webpage before other portions; and

transmitting the first portion of the webpage to the computing device before other portions of the webpage.

96. The server of claim 94, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

generating metadata indicating browsing habits of other users;

determining which portions of webpages are statistically likely to be accessed before other portions of the webpage based on the metadata;

determining that a second portion is likely not accessed frequently; and

communicating in the metadata that the second portion is not accessed frequently and downloaded lower in priority than portions statistically more likely to be accessed.

97. The server of claim 94, wherein the processor is configured with processor-executable instructions to perform operations further comprising:

formulating a plurality of observed profiles of the users of the plurality of computing devices;

monitoring browsing habits of a computing device user; and

returning metadata from the server to the computing device based on at least one observed profile that matches the computing device user based on the monitored browsing habits.

98. A non-transitory computer-readable storage medium having stored thereon processor executable instructions configured to cause a server processor to perform operations comprising, comprising:

receiving a request for a webpage from a computing device;

receiving a request for a browser assistant from the computing device; and

returning to the computing device the requested webpage plus metadata configured to assist the computing device in parsing, analyzing, or executing the requested webpage.

99. The non-transitory processor readable medium of claim 98, wherein the stored processor-executable instructions are configured to cause a server processor to perform operations further comprising:

receiving from a plurality of computing devices web usage information regarding web usage habits of users of the plurality of computing devices; and

generating the metadata based on the received usage information and an analysis of web usage habits of the users of the plurality of computing devices.

100. The non-transitory processor readable medium of claim 98, wherein the stored processor-executable instructions are configured to cause a server processor to perform operations further comprising:

transmitting a binary pre-compiled translation of JavaScript within the requested webpage to the computing device.

101. The non-transitory processor readable medium of claim 98, wherein the stored processor-executable instructions are configured to cause a server processor to perform operations further comprising:

gathering aggregate information on browsing habits of users of a plurality of computing devices, wherein the aggregate information is provided by instrumented web browsers operating on the plurality of computing devices; and

generating the metadata based on aggregate information on browsing habits of users of the plurality of computing devices.

102. The non-transitory processor readable medium of claim 101, wherein the stored processor-executable instructions are configured to cause a server processor to perform operations further comprising:

determining from the aggregate information on browsing habits of users of the plurality of computing devices when users are likely to view a first portion of a webpage before other portions; and

transmitting the first portion of the webpage to the computing device before other portions of the webpage.

103. The non-transitory processor readable medium of claim 101, wherein the stored processor-executable instructions are configured to cause a server processor to perform operations further comprising:

generating metadata indicating browsing habits of other users;

determining which portions of webpages are statistically likely to be accessed before other portions of the webpage based on the metadata;

determining that a second portion is likely not accessed frequently; and

communicating in the metadata that the second portion is not accessed frequently and downloaded lower in priority than portions statistically more likely to be accessed.

104. The non-transitory processor readable medium of claim 101, wherein the stored processor-executable instructions are configured to cause a server processor to perform operations further comprising:

formulating a plurality of observed profiles of the users of the plurality of computing devices;

monitoring browsing habits of a computing device user; and

returning metadata from the server to the computing device based on at least one observed profile that matches the computing device user based on the monitored browsing habits.

105. A server, comprising:

means for receiving a request for a webpage from a computing device;

means for receiving a request for a browser assistant from the computing device; and

means for returning to the computing device the requested webpage plus metadata configured to assist the computing device in parsing, analyzing, or executing the requested webpage.

106. The server of claim 105, further comprising:

means for receiving from a plurality of computing devices web usage information regarding web usage habits of users of the plurality of computing devices; and

means for generating the metadata based on the received usage information and an analysis of web usage habits of the users of the plurality of computing devices.

107. The server of claim 105, further comprising:

means for transmitting a binary pre-compiled translation of JavaScript within the requested webpage to the computing device.

108. The server of claim 105, further comprising:

means for gathering aggregate information on browsing habits of users of a plurality of computing devices, wherein the aggregate information is provided by instrumented web browsers operating on the plurality of computing devices; and

means for generating the metadata based on aggregate information on browsing habits of users of the plurality of computing devices.

109. The server of claim 108, further comprising:

means for determining from the aggregate information on browsing habits of users of the plurality of computing devices when users are likely to view a first portion of a webpage before other portions; and

means for transmitting the first portion of the webpage to the computing device before other portions of the webpage.

110. The server of claim 108, further comprising:

means for generating metadata indicating browsing habits of other users;

means for determining which portions of webpages are statistically likely to be accessed before other portions of the webpage based on the metadata;

means for determining that a second portion is likely not accessed frequently; and

means for communicating in the metadata that the second portion is not accessed frequently and downloaded lower in priority than portions statistically more likely to be accessed.

111. The server of claim 108, further comprising:

means for formulating a plurality of observed profiles of the users of the plurality of computing devices;

means for monitoring browsing habits of a computing device user; and

means for returning metadata from the server to the computing device based on at least one observed profile that matches the computing device user based on the monitored browsing habits.

112. A system comprising:

a server;

a cellular communications network; and

a computing device interconnected to the server through the cellular communications network,

wherein the computing device comprises;

a display;

an internal memory; and

a processor coupled to the display and the internal memory, wherein the computing device processor is configured with processor-executable instructions to perform operations comprising;

transmitting a request for a webpage; and

transmitting a request to the server for a browser assistant, and wherein the server is configured to perform operations comprising;

returning to the computing device metadata configured to assist the computing device in parsing, analyzing, or executing the requested webpage.

113. The system of claim 112, wherein:

the server is configured to perform operations further comprising;

generating metadata indicating a library is frequently downloaded; and

indicating in the metadata that the library has a first portion that is likely needed before other portions for execution of the requested webpage, and

the computing device processor is configured with processor-executable instructions to perform operations further comprising;

downloading the first portion of the library before other portions of the library based on the metadata.

114. The system of claim 112, wherein:

the computing device processor is configured with processor-executable instructions to perform operations further comprising sending browsing data from an Internet browser to the server; and

the server is configured to perform operations further comprising generating the metadata from the browser data received from the computing device.

115. The system of claim 112, wherein:

the server is configured to perform operations further comprising;

monitoring browsing habits from a plurality of users;

determining that a particular webpage is frequently accessed by users; and

storing webpage elements in a cache based on the browsing habits of users; and

the computing device processor is configured with processor-executable instructions to perform operations further comprising downloading the webpage elements from the cache before an anticipated request by a user for the webpage.

116. The system claim 112, wherein the server is configured to perform operations further comprising:

processing a JavaScript portion of the requested webpage to generate native code; and

returning the generated native code to the computing device in response to the request for the webpage.

117. The system of claim 112, wherein the server is configured to perform operations further comprising:

gathering web usage information from a plurality of web users; and

generating the metadata based on the gathered web usage information.

118. The system of claim 117, wherein:

the server is configured to perform operations further comprising determining that a user of the computing device is likely to view a first portion of the requested webpage before other portions based on a profile of the user, wherein the metadata returned to the computing device indicates that the user is likely to view the first portion of the requested webpage;

wherein the computing device processor is configured with processor-executable instructions to perform operations further comprising downloading the first portion of the requested webpage before other portions of the webpage.

119. The system of claim 112, wherein the server does not host the requested webpage.

120. A system comprising:

a server;

a cellular communications network; and

a computing device interconnected to the server through the cellular communications network,

wherein the computing device comprises;

means for transmitting a request for a webpage; and

means for transmitting a request to the server for a browser assistant, and

wherein the server is configured to perform operations comprising;

means for returning metadata to the computing device configure to assist the computing device in parsing, analyzing, or executing the requested webpage.

121. The system of claim 120, wherein:

the server further comprises;

means for generating metadata indicating a library is frequently downloaded; and

means for indicating in the metadata that the library has a first portion that is likely needed before other portions for execution of the requested webpage, and

the computing device further comprises means for downloading the first portion of the library before other portions of the library based on the metadata.

122. The system of claim 120, wherein:

the computing device further comprises means for sending browsing data from an Internet browser to the server; and

the server further comprises means for generating the metadata from the browser data received from the computing device.

123. The system of claim 120, wherein:

the server further comprises;

means for monitoring browsing habits from a plurality of users;

means for determining that a particular webpage is frequently accessed by users; and

means for storing webpage elements in a cache based on the browsing habits of users; and

the computing device further comprises means for downloading the webpage elements from the cache before an anticipated request by a user for the webpage.

124. The system claim 120, wherein the server further comprises:

means for processing a JavaScript portion of the requested webpage to generate native code; and

means for returning the generated native code to the computing device in response to the request for the webpage.

125. The system of claim 120, wherein the server further comprises:

means for gathering web usage information from a plurality of web users; and

means for generating the metadata based on the gathered web usage information.

126. The system of claim 125, wherein:

the server further comprises means for determining that a user of the computing device is likely to view a first portion of the requested webpage before other portions based on a profile of the user, wherein the metadata returned to the computing device indicates that the user is likely to view the first portion of the requested webpage;

wherein the computing device further comprises means for downloading the first portion of the requested webpage before other portions of the webpage.

127. The system of claim 120, wherein the server does not host the requested webpage.