Abstract: Systems and methods are provided to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a patient glucose concentration level. The glucose concentration level may be provided to a stored model to determine a state. The guidance may be determined based at least in part on the determined state.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing a kNN computation using a hardware accelerator. One of the methods includes obtaining a set of one or more query vectors; obtaining a set of database vectors; and performing, on a hardware accelerator and for each query vector in the set, a search for the k most similar database vectors to the query vector, comprising: computing, by circuitry of the hardware accelerator and for each query vector, a respective similarity value between the query vector and each database vector; and for each query vector, identifying, by the hardware accelerator and for each bin, (i) an index of the most similar database vector within the bin and (ii) the respective similarity value for the most similar database vector within the bin.

Abstract: An application deployment model for enterprise applications to enable applications to be deployed to and executed from a globally distributed computing platform, such as an Internet content delivery network (CDN). According to the invention, application developers separate their Web application into two layers: a highly distributed edge layer and a centralized origin layer. In a representative embodiment, the edge layer supports a servlet container that executes a Web tier, typically the presentation layer of a given Java-based application. Where necessary, the edge layer communicates with code running on an origin server to respond to a given request. In an alternative embodiment, the edge layer supports a more fully-provisioned application server that executes both Web tier (e.g., presentation) and Enterprise tier application (e.g., business logic) components.

Abstract: Content is dynamically assembled at the edge of the Internet, preferably on content delivery network (CDN) edge servers. A content provider leverages an “edge side include” (ESI) markup language that is used to define Web page fragments for dynamic assembly at the edge. Dynamic assembly improves site performance by caching objects that comprise dynamically-generated pages at the edge of the Internet, close to the end user. Instead of being assembled by an application/web server in a centralized data center, the application/web server sends a page template and content fragments to a CDN edge server where the page is assembled. Each content fragment can have its own cacheability profile to manage the “freshness” of the content. Once a user requests a page, the edge server examines its cache for the included fragments and assembles the page on-the-fly.

Abstract: The disclosed technique enables a content provider to dynamically assemble content at the edge of the Internet, preferably on content delivery network (CDN) edge servers. Preferably, the content provider leverages an “edge side include” (ESI) markup language that is used to define Web page fragments for dynamic assembly at the edge. Dynamic assembly improves site performance by catching the objects that comprise dynamically generated pages at the edge of the Internet, close to the end user. The content provider designs and develops the business logic to form and assemble the pages, for example, by using the ESI language within its development environment. Instead of being assembled by an application/web server in a centralized data center, the application/web server sends a page template and content fragments to a CDN edge server where the page is assembled. Each content fragment can have its own cacheability profile to manage the “freshness” of the content.

Abstract: The present invention enables a content provider to dynamically assemble content at the edge of the Internet, preferably on content delivery network (CDN) edge servers. Preferably, the content provider leverages an “edge side include” (ESI) markup language that is used to define Web page fragments for dynamic assembly at the edge. Dynamic assembly improves site performance by catching the objects that comprise dynamically generated pages at the edge of the Internet, close to the end user. The content provider designs and develops the business logic to form and assemble the pages, for example, by using the ESI language within its development environment. Instead of being assembled by an application/web server in a centralized data center, the application/web server sends a page template and content fragments to a CDN edge server where the page is assembled. Each content fragment can have its own cacheability profile to manage the “freshness” of the content.

Abstract: The present invention enables a content provider to dynamically assemble content at the edge of the Internet, preferably on content delivery network (CDN) edge servers. Preferably, the content provider leverages an “edge side include” (ESI) markup language that is used to define Web page fragments for dynamic assembly at the edge. Dynamic assembly improves site performance by catching the objects that comprise dynamically generated pages at the edge of the Internet, close to the end user. The content provider designs and develops the business logic to form and assemble the pages, for example, by using the ESI language within its development environment. Instead of being assembled by an application/web server in a centralized data center, the application/web server sends a page template and content fragments to a CDN edge server where the page is assembled. Each content fragment can have its own cacheability profile to manage the “freshness” of the content.

Abstract: An application deployment model for enterprise applications to enable such applications to be deployed to and executed from a globally distributed computing platform, such as an Internet content delivery network (CDN). According to the invention, application developers separate their Web application into two layers: a highly distributed edge layer and a centralized origin layer. In a representative embodiment, the edge layer supports a servlet container that executes a Web tier, typically the presentation layer of a given Java-based application. Where necessary, the edge layer communicates with code running on an origin server to respond to a given request. In an alternative embodiment, the edge layer supports a more fully-provisioned application server that executes both Web tier (e.g., presentation) and Enterprise tier application (e.g., business logic) components.

Abstract: An application deployment model for enterprise applications to enable such applications to be deployed to and executed from a globally distributed computing platform, such as an Internet content delivery network (CDN). According to the invention, application developers separate their Web application into two layers: a highly distributed edge layer and a centralized origin layer. In a representative embodiment, the edge layer supports a servlet container that executes a Web tier, typically the presentation layer of a given Java-based application. Where necessary, the edge layer communicates with code running on an origin server to respond to a given request. In an alternative embodiment, the edge layer supports a more fully-provisioned application server that executes both Web tier (e.g., presentation) and Enterprise tier application (e.g., business logic) components.

Abstract: An application deployment model for enterprise applications enables such applications to be deployed to and executed from a globally distributed computing platform, such as an edge server in an Internet content delivery network (CDN). In a representative embodiment, a CDN edge server supports application server code that executes a Web tier and/or Enterprise tier component of a given Java-based application. When multiple instances of the application server code are executed, given resources (e.g., memory, CPU, disk and network I/O) are monitored, and the application server instances are terminated or rate-limited to prevent over-utilization by any particular instance. In addition, a given application running in a given application server instance is restricted from taking certain actions, e.g., reading or writing from a file system, so that it cannot interfere with or access data from another customer's application.