Abstract: Techniques are described for managing preloading of data for client computing systems. A client computing system may provide one or more persistent data storage caches on local storage, such as to support a particular software program executing on the client computing system (e.g., a Web browser program, with the persistent data storage cache designed to store browser cookies and other data for later access by the Web browser program). Additional data may be stored in such a persistent data storage cache by preloading those data groups before they are requested by the client computing system (e.g., based on interactions of a user of the client computing system with an executing program on the client computing system). Particular data groups to preload may be selected in various manners, including to provide a specified type of minimum functionality to a client computing system based on the preloaded data groups.

Abstract: Techniques are described for managing preloading of data for client computing systems. A client computing system may provide one or more persistent data storage caches on local storage, such as to support a particular software program executing on the client computing system (e.g., a Web browser program, with the persistent data storage cache designed to store browser cookies and other data for later access by the Web browser program). Additional data may be stored in such a persistent data storage cache by preloading those data groups before they are requested by the client computing system (e.g., based on interactions of a user of the client computing system with an executing program on the client computing system). Particular data groups to preload may be selected in various manners, including to provide a specified type of minimum functionality to a client computing system based on the preloaded data groups.

Abstract: Techniques are described for managing cached data in a network environment. In one example, the techniques include receiving a client request for a data group, determining that a cached copy of the requested data group that is stored in the persistent cache storage is no longer valid relative to a current copy of the data group stored at a remote data source system, obtaining from the remote data source system information about differences between the cached copy and the current copy and instructions associated with the identified differences, modifying, by the configured server computing system, the cached copy to include the identified differences in accordance with the received instructions, and providing, by the configured server computing system, the modified cached copy of the requested data group to the client in response to the client request.

Abstract: Techniques are described for managing cached data in a network environment. In one example, the techniques include receiving a client request for a data group, determining that a cached copy of the requested data group that is stored in the persistent cache storage is no longer valid relative to a current copy of the data group stored at a remote data source system, obtaining from the remote data source system information about differences between the cached copy and the current copy and instructions associated with the identified differences, modifying, by the configured server computing system, the cached copy to include the identified differences in accordance with the received instructions, and providing, by the configured server computing system, the modified cached copy of the requested data group to the client in response to the client request.

Abstract: Techniques are described for managing preloading of data for client computing systems. A client computing system may provide one or more persistent data storage caches on local storage, such as to support a particular software program executing on the client computing system (e.g., a Web browser program, with the persistent data storage cache designed to store browser cookies and other data for later access by the Web browser program). Additional data may be stored in such a persistent data storage cache by preloading those data groups before they are requested by the client computing system (e.g., based on interactions of a user of the client computing system with an executing program on the client computing system). Particular data groups to preload may be selected in various manners, including to provide a specified type of minimum functionality to a client computing system based on the preloaded data groups.

Abstract: Techniques are described for managing preloading of data for client computing systems. A client computing system may provide one or more persistent data storage caches on local storage, such as to support a particular software program executing on the client computing system (e.g., a Web browser program, with the persistent data storage cache designed to store browser cookies and other data for later access by the Web browser program). Additional data may be stored in such a persistent data storage cache by preloading those data groups before they are requested by the client computing system (e.g., based on interactions of a user of the client computing system with an executing program on the client computing system). Particular data groups to preload may be selected in various manners, including to provide a specified type of minimum functionality to a client computing system based on the preloaded data groups.

Abstract: Techniques are described for managing data transmissions between computing systems based at least in part on using a streaming transport protocol. At least some such data transmissions may be performed using HTTP, with one or more underlying transport protocols used to implement the HTTP-based data transmissions. HTTP-based data transmissions performed using an underlying streaming transport protocol, for example, may send data without performing error detection for reliability and without ensuring ordered delivery of the sent data. In addition, one or more HTTP-based data transmissions may be initiated using an underlying streaming transport protocol, but subsequent data transmissions may switch to using a different underlying transport protocol (e.g., TCP) or different transmission technique that is performed without using data streaming.

Abstract: Techniques are described for managing data transmissions between computing systems based at least in part on using a streaming transport protocol. At least some such data transmissions may be performed using HTTP, with one or more underlying transport protocols used to implement the HTTP-based data transmissions. HTTP-based data transmissions performed using an underlying streaming transport protocol, for example, may send data without performing error detection for reliability and without ensuring ordered delivery of the sent data. In addition, one or more HTTP-based data transmissions may be initiated using an underlying streaming transport protocol, but subsequent data transmissions may switch to using a different underlying transport protocol (e.g., TCP) or different transmission technique that is performed without using data streaming.

Abstract: Techniques are described for managing data transmissions between computing systems based at least in part on using a streaming transport protocol. At least some such data transmissions may be performed using HTTP, with one or more underlying transport protocols used to implement the HTTP-based data transmissions. HTTP-based data transmissions performed using an underlying streaming transport protocol, for example, may send data without performing error detection for reliability and without ensuring ordered delivery of the sent data. In addition, one or more HTTP-based data transmissions may be initiated using an underlying streaming transport protocol, but subsequent data transmissions may switch to using a different underlying transport protocol (e.g., TCP) or different transmission technique that is performed without using data streaming.