METHOD AND SYSTEM FOR PRELOADING RESOURCES
First Claim
1. A method for preloading resources for an application on a computing device, comprising:
- determining a resource list to preload onto the computing device, wherein determining the list of resources, further comprises;
determining a plurality of N-order Markov Chains based on a plurality of application hints associated with a previous execution of the application;
combining the plurality of N-order Markov Chains into a prediction graph based on at least one of a subsequence matching algorithm; and
reducing the prediction graph to constrain a size of the prediction graph, the prediction graph being useable to generate the list of resources; and
employing the resource list to preload at least one resource onto the computing device before the application accesses the at least one resource;
in response to receiving an application hint associated with the application, dynamically changing the resource list; and
preloading the computing device with the resources based on the changed resource list.
4 Assignments
0 Petitions
Accused Products
Abstract
A method and system for preloading data is provided. Resources are preloaded on a client before they are needed by an application. Application hints and static resources lists may be used to indicate resources are needed. The application may begin execution before receiving all of the resources associated with the application. Preloading may be done during execution of an application, or when the application is not executing. Preloading allows an application to run smoothly without consuming more resources than are needed by an application. A prediction graph may be generated that is used in predicting the resources that are likely to be needed by the application. An analyzer may also be used to simulate the system and adjust parameters used in creating the prediction graph.
-
Citations
29 Claims
-
1. A method for preloading resources for an application on a computing device, comprising:
-
determining a resource list to preload onto the computing device, wherein determining the list of resources, further comprises; determining a plurality of N-order Markov Chains based on a plurality of application hints associated with a previous execution of the application; combining the plurality of N-order Markov Chains into a prediction graph based on at least one of a subsequence matching algorithm; and reducing the prediction graph to constrain a size of the prediction graph, the prediction graph being useable to generate the list of resources; and employing the resource list to preload at least one resource onto the computing device before the application accesses the at least one resource; in response to receiving an application hint associated with the application, dynamically changing the resource list; and preloading the computing device with the resources based on the changed resource list. - View Dependent Claims (2, 3, 4, 5, 6)
-
-
7. A computing device for preloading resources for an application, comprising:
-
a network interface component that is configured to communicate data over a network; a memory that is configured to store at least instructions; a processor, in communication with the network interface component and the memory, that executes the instructions to enable actions, including; determining a resource list to preload onto the computing device, wherein determining the list of resources, further comprises; determining a plurality of N-order Markov Chains based on a plurality of application hints associated with a previous execution of the application; combining the plurality of N-order Markov Chains into a prediction graph based on at least one of a subsequence matching algorithm; and reducing the prediction graph to constrain a size of the prediction graph, the prediction graph being useable to generate the list of resources; and employing the resource list to preload at least one resource onto the computing device before the application accesses the at least one resource; in response to receiving an application hint associated with the application, dynamically changing the resource list; and preloading the computing device with the resources based on the changed resource list. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14, 15, 16)
-
-
17. A processor readable non-transitive storage media that includes instructions for preloading resources for an application, wherein a processor that executes the instructions enables actions, comprising:
-
determining a resource list to preload onto the computing device, wherein determining the list of resources, further comprises; determining a plurality of N-order Markov Chains based on a plurality of application hints associated with a previous execution of the application; combining the plurality of N-order Markov Chains into a prediction graph based on at least one of a subsequence matching algorithm; and reducing the prediction graph to constrain a size of the prediction graph, the prediction graph being useable to generate the list of resources; and employing the resource list to preload at least one resource onto the computing device before the application accesses the at least one resource; in response to receiving an application hint associated with the application, dynamically changing the resource list; and preloading the computing device with the resources based on the changed resource list. - View Dependent Claims (18, 19, 20, 21, 22)
-
-
23. A system for preloading resources for an application over a network, comprising:
-
a computing device, including; a network interface component that is configured to communicate data over the network; a memory that is configured to store at least instructions; a processor, in communication with the network interface component and the memory, that executes the instructions to enable actions, including; determining a resource list to preload onto the computing device, wherein determining the list of resources, further comprises; determining a plurality of N-order Markov Chains based on a plurality of application hints associated with a previous execution of the application; combining the plurality of N-order Markov Chains into a prediction graph based on at least one of a subsequence matching algorithm; and reducing the prediction graph to constrain a size of the prediction graph, the prediction graph being useable to generate the list of resources; and employing the resource list to preload at least one resource onto the computing device before the application accesses the at least one resource; in response to receiving an application hint associated with the application, dynamically changing the resource list; and preloading the computing device with the resources based on the changed resource list; and another computing device, comprising; another network interface component that is configured to communicate data; another memory that is configured to store at least instructions; another processor, in communication with the network interface component and the memory, that is configured to execute the instructions to enable actions, including; providing the computing device with access to preload at least one resource on the resource list; and downloading the at least one resource to the computing device. - View Dependent Claims (24, 25, 26, 27, 28, 29)
-
Specification