Abstract: In an application execution system having a plurality of application servers, each application server stores a plurality of applications, and has computational resources for executing applications in response to received requests. Each application server also includes instructions for loading a respective application into volatile storage and executing the application in response to a request from a client, and for returning a result. A generic application instance may be cloned, creating a pool of generic application instance clones that can be loaded with code for a requested application to produce an application instance. The application instance can then be stored in a cache to be used for a future application request.

Abstract: Methods, systems, and devices for data processing are described. According to the techniques described herein, a device (e.g., an application server) may render a first graphical user interface including a first view of a first data record, the first view including a first field. The device may receive, via the first graphical user interface, a user input including a field-level comment for the first field. The first view further includes the field-level comment and a first field-level visual indicator indicating that the field-level comment is associated with the first field. The device may also render a second graphical user interface including a second view of a set of data records including the first data record. In some cases, the second view omits the first field and includes the field-level comment and a second record-level visual indicator indicating that the field-level comment is associated with the first data record.

Abstract: In an application execution system having a plurality of application servers, each application server stores a plurality of applications, and has computational resources for executing applications in response to received requests. Each application server also includes instructions for loading a respective application into volatile storage and executing the application in response to a request from a client, and for returning a result. A generic application instance may be cloned, creating a pool of generic application instance clones that can be loaded with code for a requested application to produce an application instance. The application instance can then be stored in a cache to be used for a future application request.

Abstract: In an application execution system having a plurality of application servers, each application server stores a plurality of applications, and has computational resources for executing applications in response to received requests. Each application server also includes instructions for loading a respective application into volatile storage and executing the application in response to a request from a client, and for returning a result. A generic application instance may be cloned, creating a pool of generic application instance clones that can be loaded with code for a requested application to produce an application instance. The application instance can then be stored in a cache to be used for a future application request.

Abstract: In an application execution system having a plurality of application servers, each application server stores a plurality of applications, and has computational resources for executing applications in response to received requests. Each application server also includes instructions for loading a respective application into volatile storage and executing the application in response to a request from a client, and for returning a result. A generic application instance may be cloned, creating a pool of generic application instance clones that can be loaded with code for a requested application to produce an application instance. The application instance can then be stored in a cache to be used for a future application request.

Abstract: A set of ordered predicted completion strings including strings of ideographs are presented to a user as the user enters text in a text entry box (e.g., a browser or a toolbar). The user entered text may include zero or more ideographs followed by one or more phonetic characters, or the entered text may be one or more. The predicted completion strings can be in the form of URLs or query strings. The ordering may be based on any number of factors (e.g., a query's frequency of submission from a community of users). URLs can be ranked based on an importance value of the URL. The sets of ordered predicted completion strings are obtained by matching a fingerprint value of the user's entry string to a fingerprint to table map which contains the set of ordered predicted completion strings. The generation of the ordered prediction strings takes into account multiple phonetic representations of certain strings of ideographs.

Abstract: A set of ordered predicted completion strings including strings of ideographs are presented to a user as the user enters text in a text entry box (e.g., a browser or a toolbar). The user entered text may include zero or more ideographs followed by one or more phonetic characters, or the entered text may be one or more. The predicted completion strings can be in the form of URLs or query strings. The ordering may be based on any number of factors (e.g., a query's frequency of submission from a community of users). URLs can be ranked based on an importance value of the URL. The sets of ordered predicted completion strings are obtained by matching a fingerprint value of the user's entry string to a fingerprint to table map which contains the set of ordered predicted completion strings. The generation of the ordered prediction strings takes into account multiple phonetic representations of certain strings of ideographs.

Abstract: In a distributed application execution system having a plurality of application servers, each application server has volatile and nonvolatile storage as well as computational resources for executing applications as follows. A plurality of applications is stored in non-volatile storage. At least one such application is a primed application which is derived as follows. An unprimed application is executed and an initialization signal is optionally communicated to the unprimed application. A status signal is obtained from the unprimed application. Upon receipt of the status signal, the unprimed application is checkpointed to produce the primed application, and the primed application is stored. A request to execute the primed application is received from a client system. In response to the request, the primed application is loaded from non-volatile storage into volatile storage, and the primed application is executed. The primed application returns a result to the request to the client system.

Abstract: A set of ordered predicted completion strings are presented to a user as the user enters text in a text entry box (e.g., a browser or a toolbar). The predicted completion strings can be in the form of URLs or query strings. The ordering may be based on any number of factors (e.g., a query's frequency of submission from a community of users). URLs can be ranked based on an importance value of the URL. Privacy is taken into account in a number of ways, such as using a previously submitted query only when more than a certain number of unique requesters have made the query. The sets of ordered predicted completion strings is obtained by matching a fingerprint value of the user's entry string to a fingerprint to table map which contains the set of ordered predicted completion strings.

Abstract: A set of ordered predicted completion strings including strings of ideographs are presented to a user as the user enters text in a text entry box (e.g., a browser or a toolbar). The user entered text may include zero or more ideographs followed by one or more phonetic characters, or the entered text may be one or more. The predicted completion strings can be in the form of URLs or query strings. The ordering may be based on any number of factors (e.g., a query's frequency of submission from a community of users). URLs can be ranked based on an importance value of the URL. The sets of ordered predicted completion strings are obtained by matching a fingerprint value of the user's entry string to a fingerprint to table map which contains the set of ordered predicted completion strings. The generation of the ordered prediction strings takes into account multiple phonetic representations of certain strings of ideographs.

Abstract: In an application execution system having a plurality of application servers and an application master in an application execution system, the application master stores a plurality of applications, including a respective application, in a library for distribution among the application servers, adds a first instance of the respective application from the library to a respective application server for execution, and obtains usage information of one or more applications added to the application servers. In accordance with the usage information, the application master performs one of a predefined set of actions that includes: adding a second instance of the respective application to the plurality of application servers; and removing the first instance of the respective application from the respective application server.

Abstract: A set of ordered predicted completion strings including strings of ideographs are presented to a user as the user enters text in a text entry box (e.g., a browser or a toolbar). The user entered text may include zero or more ideographs followed by one or more phonetic characters, or the entered text may be one or more. The predicted completion strings can be in the form of URLs or query strings. The ordering may be based on any number of factors (e.g., a query's frequency of submission from a community of users). URLs can be ranked based on an importance value of the URL. The sets of ordered predicted completion strings are obtained by matching a fingerprint value of the user's entry string to a fingerprint to table map which contains the set of ordered predicted completion strings. The generation of the ordered prediction strings takes into account multiple phonetic representations of certain strings of ideographs.

Abstract: A set of ordered predicted completion strings are presented to a user as the user enters text in a text entry box (e.g., a browser or a toolbar). The predicted completion strings can be in the form of URLs or query strings. The ordering may be based on any number of factors (e.g., a query's frequency of submission from a community of users). URLs can be ranked based on an importance value of the URL. Privacy is taken into account in a number of ways, such as using a previously submitted query only when more than a certain number of unique requestors have made the query. The sets of ordered predicted completion strings is obtained by matching a fingerprint value of the user's entry string to a fingerprint to table map which contains the set of ordered predicted completion strings.

Abstract: In an application execution system having a plurality of application servers and an application master in an application execution system, the application master stores a plurality of applications, including a respective application, in a library for distribution among the application servers, adds a first instance of the respective application from the library to a respective application server for execution, and obtains usage information of one or more applications added to the application servers. In accordance with the usage information, the application master performs one of a predefined set of actions that includes: adding a second instance of the respective application to the plurality of application servers; and removing the first instance of the respective application from the respective application server.

Abstract: A set of ordered predicted completion strings are presented to a user as the user enters text in a text entry box (e.g., a browser or a toolbar). The predicted completion strings can be in the form of URLs or query strings. The ordering may be based on any number of factors (e.g., a query's frequency of submission from a community of users). URLs can be ranked based on an importance value of the URL. Privacy is taken into account in a number of ways, such as using a previously submitted query only when more than a certain number of unique requestors have made the query. The sets of ordered predicted completion strings is obtained by matching a fingerprint value of the user's entry string to a fingerprint to table map which contains the set of ordered predicted completion strings.

Abstract: In an application execution system having a plurality of application servers, each application server stores a plurality of applications, and has computational resources for executing applications in response to received requests. Each application server also includes instructions for loading a respective application into volatile storage and executing the application in response to a request from a client, and for returning a result. In addition, each application server includes instructions for conditionally terminating execution of the respective application prior to returning the result if the respective application violates any execution restriction. The execution restrictions may include: a response time limit; an average response time limit over multiple executions of the application; a volatile memory usage limit; a restriction on using non-volatile storage of the application server; and a requirement limiting where state information is stored.

Abstract: A set of ordered predicted completion strings are presented to a user as the user enters text in a text entry box (e.g., a browser or a toolbar). The predicted completion strings can be in the form of URLs or query strings. The ordering may be based on any number of factors (e.g., a query's frequency of submission from a community of users). URLs can be ranked based on an importance value of the URL. Privacy is taken into account in a number of ways, such as using a previously submitted query only when more than a certain number of unique requestors have made the query. The sets of ordered predicted completion strings is obtained by matching a fingerprint value of the user's entry string to a fingerprint to table map which contains the set of ordered predicted completion strings.

Abstract: A set of ordered predicted completion strings are presented to a user as the user enters text in a text entry box (e.g., a browser or a toolbar). The predicted completion strings can be in the form of URLs or query strings. The ordering may be based on any number of factors (e.g., a query's frequency of submission from a community of users). URLs can be ranked based on an importance value of the URL. Privacy is taken into account in a number of ways, such as using a previously submitted query only when more than a certain number of unique requestors have made the query. The sets of ordered predicted completion strings is obtained by matching a fingerprint value of the user's entry string to a fingerprint to table map which contains the set of ordered predicted completion strings.

Abstract: In an application execution system having a plurality of application servers, each application server stores a plurality of applications, and has computational resources for executing applications in response to received requests. Each application server also includes instructions for loading a respective application into volatile storage and executing the application in response to a request from a client, and for returning a result. In addition, each application server includes instructions for conditionally terminating execution of the respective application prior to returning the result if the respective application violates any execution restriction. The execution restrictions may include: a response time limit; an average response time limit over multiple executions of the application; a volatile memory usage limit; a restriction on using non-volatile storage of the application server; and a requirement limiting where state information is stored.

Abstract: A set of ordered predicted completion strings are presented to a user as the user enters text in a text entry box (e.g., a browser or a toolbar). The predicted completion strings can be in the form of URLs or query strings. The ordering may be based on any number of factors (e.g., a query's frequency of submission from a community of users). URLs can be ranked based on an importance value of the URL. Privacy is taken into account in a number of ways, such as using a previously submitted query only when more than a certain number of unique requestors have made the query. The sets of ordered predicted completion strings is obtained by matching a fingerprint value of the user's entry string to a fingerprint to table map which contains the set of ordered predicted completion strings.