Client Performance Optimization by Delay-Loading Application Files with Cache

• US 20120143866A1
• Filed: 12/02/2010
• Published: 06/07/2012
• Est. Priority Date: 12/02/2010
• Status: Active Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Mameri, Frederico, Crockett, Sterling, Nation, Zachary, McConnell, Timothy
• Application Number:
  US12/958,603
• Publication Number:
  US 20120143866A1
• Time in Patent Office: Days
• US Class Current: 707/737
• CPC Class Codes: G06F 8/433 Dependency analysis; Data or control flow analysis
• CPC Class Codes: G06F 9/445 Program loading or initiating bootstrapping G06F9/4401; security arrangements for program loading or initiating G06F21/57

Abstract

Systems and methods for minimizing start-up and implementation latency of a web application hosted in a computing system environment. Latency mitigation is accomplished via a programmatic approach to reduce the number of files or script needed for an initial boot of the web application. Remaining files are loaded either as needed or in a background process.

Claims

1. A method for partitioning files of a web application, the method comprising:

receiving a plurality of files associated with the web application at a computing device, wherein each of the plurality of files include a plurality of constituent content;

parsing each of the plurality of files into respective constituent content at the computing device;

implementing an analysis of one or more relationships between the constituent content at the computing device;

organizing the constituent content into a plurality of partitions based on the analysis of the relationships; and

generating a plurality of output files each corresponding to one of the plurality of partitions.

2. The method of claim 1, further comprising receiving one or more other files at the computing device comprising a source language different from the plurality of files.

3. The method of claim 1, further comprising associating an instance of parsed constituent content with a node of a dependency graph.

4. The method of claim 3, wherein each node of the dependency graph represents a set of logical instructions of parsed constituent content selected from a group including:

a function; and

a method.

5. The method of claim 3, wherein the relationships comprise a call dependency and a call frequency.

6. The method of claim 5, wherein the call dependency includes a list of nodes of the dependency graph including a reference to each respective node of the list of nodes.

7. The method of claim 5, wherein the call frequency includes a number of incoming references to a node of the dependency graph from other nodes of the dependency graph.

8. The method of claim 1, further comprising selectively forming each of the plurality of partitions to include constituent content most related to other constituent content.

9. The method of claim 1, further comprising selectively forming each of the plurality of partitions to minimize a number of references from constituent content of one of the plurality of partitions to another of the plurality of partitions.

10. The method of claim 1, wherein each of the plurality of output files correspond to a JavaScript script file.

11. The method of claim 1, further comprising transferring the plurality of output files to at least one other computing device configured to host the web application.

12. A computing device, comprising:

a processing unit;

a system memory connected to the processing unit, the system memory including instructions that, when executed by the processing unit, cause the processing unit to implement a partitioning module configured for partitioning files of a web application, wherein the partitioning module comprises;

an input module configured to receive a plurality of input files, wherein each of the plurality of input files are associated with the web application and include at least one logical unit of executable instructions;

a parse module configured to parse each of the plurality of input files into a plurality of nodes each corresponding to a respective logical unit of executable instructions;

an analysis module configured to perform an analysis of relationships between the plurality of nodes and assign a weight to each of the plurality of nodes based on the relationships, wherein the relationships comprise an inbound call frequency and an inbound call dependency;

a partition module configured to cluster the plurality of nodes into a plurality of partitions based on weight assigned to each of the plurality of nodes, content of the plurality of partitions including respective logical unit of executable instructions associated with corresponding nodes; and

an output module configured to generate an output file corresponding to each of the plurality of partitions.

13. The computing device of claim 12, wherein the inbound call dependency includes a list of nodes including a reference to each respective node of the plurality of nodes.

14. The computing device of claim 12, wherein call frequency includes a number of incoming references to a node from other nodes of the plurality of nodes.

15. The computing device of claim 12, wherein weight assigned to each of the plurality of nodes is further based on a manual weighting factor.

16. The computing device of claim 12, wherein the partition module is further configured to selectively form each of the plurality of partitions to include nodes of the plurality of nodes that are most related.

17. The computing device of claim 12, wherein the partition module is further configured to modify a function call of a function to include a reference to a partition of the plurality of partitions.

18. The computing device of claim 12, wherein the partition module is further configured to receive manual adjustment of the plurality of partitions.

19. The computing device of claim 12, wherein the output module is further configured to transfer the output file corresponding to each of the plurality of partitions to at least one other computing device configured to host the web application.

20. A computer readable storage medium having computer-executable instructions that, when executed by a computing device, cause the computing device to perform steps comprising:

receiving a plurality of files associated with a web application, wherein each of the plurality of files comprise a plurality of constituent content, and one or more of the plurality of files comprise a source language different from other files of the plurality of files;

parsing each of the plurality of files into respective constituent content;

associating an instance of parsed constituent content with a node of a dependency graph, wherein each node of the dependency graph represents a set of logical instructions of parsed constituent content selected from a group including;

a function; and

a method;

implementing an analysis of a plurality of relationships between parsed constituent content, wherein the plurality of relationships comprise a call dependency including a number of nodes of the dependency graph including a reference to each respective node, and a call frequency including a number of incoming references to a node of the dependency graph from other nodes of the dependency graph;

organizing the parsed constituent content into a plurality of partitions based on the analysis of the plurality of relationships, wherein the plurality of partitions are selectively organized to include constituent content most related to other constituent content and to minimize a number of references from constituent content of one of the plurality of partitions to another of the plurality of partitions;

generating a plurality of output files each corresponding to one of the plurality of partitions; and

transferring the plurality of output files to at least one other computing device configured to host the web application.