Abstract: Various aspects described or referenced herein are directed to different methods, systems, and computer program products for facilitating real-time optimization of computer-implemented application operations using machine learning techniques.

Abstract: Various aspects described or referenced herein are directed to different methods, systems, and computer program products for facilitating real-time optimization of computer-implemented application operations using machine learning techniques.

Abstract: Various aspects described or referenced herein are directed to different methods, systems, and computer program products for facilitating real-time optimization of computer-implemented application operations using machine learning techniques.

Abstract: Various aspects described herein are directed to different techniques for automatically and dynamically analyzing a first subscriber system's telemetry information and crowdsourced telemetry information to dynamically evaluate at least one performance metric associated with at least one entity of the first subscriber system; and for automatically and dynamically initiating at least one modification of at least one configuration element at the first subscriber system based on the analysis of the first subscriber system telemetry information and crowdsourced telemetry information.

Abstract: Various aspects described or referenced herein are directed to different methods, systems, and computer program products for facilitating real-time optimization of computer-implemented application operations using machine learning techniques.

Abstract: Various aspects described or referenced herein are directed to different methods, systems, and computer program products for facilitating real-time optimization of computer-implemented application operations using machine learning techniques.

Abstract: Various aspects described herein are directed to different techniques for automatically and dynamically analyzing a first subscriber system's telemetry information and crowdsourced telemetry information to dynamically evaluate at least one performance metric associated with at least one entity of the first subscriber system; and for automatically and dynamically initiating at least one modification of at least one configuration element at the first subscriber system based on the analysis of the first subscriber system telemetry information and crowdsourced telemetry information,

Abstract: Various aspects described herein are directed to different techniques for: evaluating server system reliability, vulnerability and component compatibility using crowdsourced server and vulnerability data; generating automated recommendations for improving server system metrics; and automatically and conditionally updating or upgrading system packages/components.

Abstract: Various aspects described or referenced herein are directed to different methods, systems, and computer program products for facilitating real-time optimization of computer-implemented application operations using machine learning techniques.

Abstract: Various aspects described herein are directed to different techniques for: evaluating server system reliability, vulnerability and component compatibility using crowdsourced server and vulnerability data; generating automated recommendations for improving server system metrics; and automatically and conditionally updating or upgrading system packages/components.

Abstract: Various aspects described herein are directed to different techniques for: evaluating server system reliability, vulnerability and component compatibility using crowdsourced server and vulnerability data; generating automated recommendations for improving server system metrics; and automatically and conditionally updating or upgrading system packages/components.

Abstract: Teachings of this application include a computing network that may include multiple different data centers and/or server grids which are deployed in different geographic locations. In at least one embodiment, at least some of the server grids may be operable to provide on-demand, grid and/or utility computing resources for hosting various types of distributed applications. In at least one embodiment, a distributed application may be characterized as an application made up of distinct components (e.g., virtual appliances, virtual machines, virtual interfaces, virtual volumes, virtual network connections, etc.) in separate runtime environments. In at least one embodiment, different ones of the distinct components of the distributed application may be hosted or deployed on different platforms (e.g., different servers) connected via a network. In some embodiments, a distributed application may be characterized as an application that runs on two or more networked computers.

Abstract: Various aspects described herein are directed to different techniques for: evaluating server system reliability, vulnerability and component compatibility using crowdsourced server and vulnerability data; generating automated recommendations for improving server system metrics; and automatically and conditionally updating or upgrading system packages/components.

Abstract: A system for executing applications designed to run on a single SMP computer on an easily scalable network of computers, while providing each application with computing resources, including processing power, memory and others that exceed the resources available on any single computer. A server agent program, a grid switch apparatus and a grid controller apparatus are included. Methods for creating processes and resources, and for accessing resources transparently across multiple servers are also provided.

Abstract: A method includes receiving a migration request to migrate a source data set stored at a source endpoint and having a first data format. The migration request includes a source identifier indicative of the source endpoint having a first architecture type and a destination identifier indicative of a destination endpoint having a second architecture type. The method also includes determining whether a data translation is required by comparing the first architecture type with the second architecture type. The method further includes determining a first particular transform mechanism from a plurality of transform mechanisms based on the second architecture type. The method additionally includes translating the first data format of the source data set into a second data format corresponding to the second architecture type using the first particular transform mechanism and storing the translated source data set at the destination endpoint.

Abstract: Various techniques are disclosed for facilitating manipulation of virtualized storage volumes and/or file systems of one or more different types of operating systems (OSs) implemented on distributed computer systems. According to different embodiments, various aspects may be directed to different embodiments of virtualized filer appliances and/or filer applications which may be used for facilitating manipulation of virtualized storage volumes and/or file systems of one or more different types of operating systems (OSs) implemented on distributed computer systems. In at least one embodiment, a filer appliance may be implemented as a virtual appliance that includes functionality for performing automated file-level and/or volume-level operations for a selected set of file systems. In one embodiment, a filer appliance may be implemented as a virtual machine which is configured or designed to handle managing of one or more volumes.

Abstract: An apparatus, method and system are disclosed for visually constructing and rapidly delivering distributed applications. The system includes a virtual appliance apparatus and a composite appliance apparatus, as well as a system for virtualizing hardware resources and for provisioning, executing and scaling distributed applications.

Abstract: A method and system are disclosed for building complex real-time software that scales well to a large number of processors or CPU cores. The software design and implementation method are based on a combination of object composition (hierarchical assembly) and desynchronizable inter-object interactions.

Abstract: A system for executing applications designed to run on a single SMP computer on an easily scalable network of computers, while providing each application with computing resources, including processing power, memory and others that exceed the resources available on any single computer. A server agent program, a grid switch apparatus and a grid controller apparatus are included. Methods for creating processes and resources, and for accessing resources transparently across multiple servers are also provided.

Abstract: A system for executing applications designed to run on a single SMP computer on an easily scalable network of computers, while providing each application with computing resources, including processing power, memory and others that exceed the resources available on any single computer. A server agent program, a grid switch apparatus and a grid controller apparatus are included. Methods for creating processes and resources, and for accessing resources transparently across multiple servers are also provided.