Hewlett Packard Enterprise Development LP

Aryaka Networks, Inc.

Symantec Corporation

Other

Gupta, Ajit

Bharadhwaj, Rajeev

Nagaraj, Ashwath

Rajeev Bharadhwaj

Ajit Gupta

Ashwath Nagaraj

Stephane Herman Maes

Travis Scott Tripp

Kevin Lee Wilson

John M Green

Mark Perreira

Bryan P Murray

Michael Haeuptle

Burton Akira Hipp

Viswesvaran Janakiraman

Komal Desai

Bruce Robert Montague

Dharmesh Shah

Thomas Alan Bean

Anurag Agarwal

Petr Fiedler

Douglas Fallstrom

Sameer Lokray

Jonathan Purcell

Neelakandan Panchaksharam

Nagaraj Kalmala

Srikanth Sm

Ritesh Sunder Shetty

Ritesh S Shetty

Platform runtime abstraction can include creating a number of template models within a platform where the number of template models correspond to a provider mode and creating a number of abstraction layers that allow a provider to plug into the platform at runtime where the provider includes a provider sub-system and the provider model. Platform runtime abstraction can also include allowing the provider to plug into the platform at runtime through one of the number of abstraction layers wherein the provider remains independent of the platform and where the provider remains independent of a platform hardware infrastructure and a platform operating system infrastructure.

Platform runtime abstraction

A system () includes an application model () to characterize a given application () for deployment on a cloud (). A deployment manager () analyzes an application requirement for the given application () based on the application model () and policies () associated with the given application () to substantially match infrastructure resources () in the cloud () to fulfill the application requirement.

Cloud application deployment

A system () includes a portability manager () to provide portability instructions to specify a change in deployment of a given application () on a cloud infrastructure (). A deployment manager () controls deployment or lifecycle management of the given application () on the cloud infrastructure () in response to the portability instructions and based on matching cloud infrastructure resources to application requirements for the given application ().

Cloud application deployment portability

A technique includes providing a first interface to manage a plurality of cloud services that are provided by a plurality of cloud resources that form a hybrid cloud. Each of the cloud resources is associated with an application programming interface. The technique includes using the first interface to orchestrate the cloud services, where the orchestration includes using the first interface to orchestrate the application programming interfaces to allow at least one cloud resource management function provided by the first interface to be performed across at least two of the cloud resources.

Orchestrating hybrid cloud services

A system includes an infrastructure as a service (IaaS) layer to provide a set of infrastructure services to manage computing resources in a cloud computing environment. The system includes a service framework layer, separate from the IaaS layer, the service framework layer comprising an asynchronous interface to communicate with the IaaS layer and to create a framework service to extend the IaaS layer in response to a command from an upper tier service, the framework service to employ the asynchronous interface to utilize an infrastructure service from the set of infrastructure services.

Asynchronous framework for management of IaaS

Disclosed are systems and methods to provide application acceleration as a service. In one embodiment, a system includes a head office to serve an enterprise application comprised of a collaborative document. The system also includes a branch office to request the collaborative document from the head office. The enterprise application may also include a computed document and/or a static document. In addition, the system also includes a set of Point of Presence (POP) locations between the head office and the branch office to communicate the collaborative document, the computed document and the static document on behalf of the head office from a closest POP location to the head office to a closest POP location to the branch office and then onward to the branch office.

Application acceleration as a service system and method

Platform runtime abstraction can include creating a number of template models within a platform wherein the number of template models correspond to a provider mode and creating a number of abstraction layers that allow a provider to plug into the platform at runtime wherein the provider includes a provider sub-system and the provider model. Platform runtime abstraction can also include allowing the provider to plug into the platform at runtime through one of the number of abstraction layers wherein the provider remains independent of the platform and wherein the provider remains independent of a platform hardware infrastructure and a platform operating system infrastructure.

Disclosed are a system, a method and an apparatus of reduction of routing and service performance management in an application acceleration environment. In one embodiment, a system includes a branch site that includes a branch client. In addition, the system includes a headquarters site that includes a headquarters server. The headquarters site including a headquarters server includes the branch site. The headquarters site is communicatively coupled over a link via transmission media. The link is identified through a link identifier. The headquarters site including a headquarters server also includes the branch client and the headquarters server being communicatively coupled over a network connection via the transmission media. The network connection is identified through a connection identifier. The system also includes a first point of presence (POP) communicatively coupled with the branch site over a first segment of the link.

Routing and service performance management in an application acceleration environment

A method and system of a heterogeneous service provider model through pay-for-performance based transit settlements are disclosed. In one embodiment, a system includes a plurality of Point of Presence (POP) locations between a head office and a branch office in a heterogeneous computer network configured to communicate data through a pay-per-performance peering relationship between different entities of the heterogeneous computer network. In this embodiment, the system implements a debit-credit mechanism configured to handle payments as well as penalties associated with violation of a pair-wise mutual agreement between independent for-profit entities providing network services in a segment of the heterogeneous computer network.

Heterogeneous service provider model through pay-for-performance based transit settlements

Techniques for allocating/reducing storage required for one or more virtual machines are disclosed. In one particular exemplary embodiment, the techniques may be realized as a method for allocating storage for one or more virtual machines. The method may comprise providing one or more virtual machines. The method may also comprise creating one or more master images containing one or more commonly used blocks. The method may also comprise creating one or more Copy on Write volumes, where each Copy on Write volume may be associated with at least one of the one or more virtual machines and at least one of the one or more master images, and wherein updated blocks may be stored in at least one of the one or more Copy on Write volumes, thereby reducing storage required for one or more virtual machines.

Techniques for allocating/reducing storage required for one or more virtual machines

Method and apparatus for transactional fault tolerance in a client-server system is described. In one example, output data generated by execution of a service on a primary server during a current epoch between a first checkpoint and a second checkpoint is buffered. A copy of an execution context of the primary server is established on a secondary server in response to the second checkpoint. The output data as buffered is released from the primary server in response to establishment of the copy of the execution context on the secondary server.

Growing community of inventors

Saratoga, CA, United States of America

Rajeev Bharadhwaj