Microsoft Technology Licensing, LLC

Symform, Inc.

Other

Quantum Corporation

Microsoft Corporation

Zhigu Holdings Limited

Bassam Tabbara

Galen Clyde Hunt

Robert Victor Welland

Aamer Hydrie

Steven P Levi

Geoffrey Hugh Outhred

Kevin Grealish

Rob M Mensching

Anders Bertil Vinberg

David S Stutz

Robert M Fries

Rene Antonio Vega

John M Parchem

Eric Joseph Winner

Jeffrey A Woolsey

Praerit Garg

Edwin R Lassettre

Ashvinkumar J Sanghvi

Vij Rajarajan

Rico Mariani

Vitaly Voloshin

Jakob Rehof

Glenn R Peterson

David Searle Noble

Anand Lakshminarayanan

Mark D Van Antwerp

Charlie D Chase

Alexander Torone

Mathilde C Brown

Ariye M Cohen

Sanjeev K Rajan

David McCauley

John Rinaldo

Jeffrey Bruce Parham

Kevin D J Grealish

Attila Narin

Raymond W McCollum

Efstathios Papaefstathiou

David C James

Bhalchandra Pandit

Michael Joseph Healy

Bruce Wayne Copeland

John H Wilson

Mazhar Naveed Mohammed

Jonathan C Hardwick

Pratul Dublish

Rajagopalan Badri Narayanan

Edward Scott Miller

David Michael Broman

Robert V Welland

Zhengkai Kenneth Pan

Przemek Pardyak

Lin-Fon Shaw

Kristi L Brandes

Galen C Hunt

Model-based virtual system provisioning includes accessing a model of a workload to be installed on a virtual machine of a system as well as a model of the system. A workload refers to some computing that is to be performed, and includes an application to be executed to perform the computing, and optionally includes the operating system on which the application is to be installed. The workload model identifies a source of the application and operating system of the workload, as well as constraints of the workload, such as resources and/or other capabilities that the virtual machine(s) on which the workload is to be installed must have. An installation specification for the application is also generated, the installation specification being derived at least in part from the model of the workload and the model of the virtual system.

Model-based virtual system provisioning

A hardware and/or software facility for durably and securely storing data within a shared community storage network. A user may have a storage device that they intend to share with others in the network. All or a portion of the storage device is registered with the community storage network as a storage node. Once registered with the network, third party data may be stored on the storage node and remotely accessed by third parties. In addition, data stored on the storage device by the user may be stored in the shared community storage network by encrypting the data, adding redundancy, and distributing it to other storage nodes within the storage network. Data that is stored in the storage network is accessible to the user even if their storage device is inaccessible or fails.

Shared community storage network

Multiple devices are identified in a network along with connection information associated with the multiple devices. The connection information associated with the multiple devices is converted into a hierarchical structure and communication links between the multiple devices are identified.

Method and apparatus for discovering network devices

Various technologies and techniques are disclosed for processing identity constraints in a relational database. Values are extracted from an XML document during a submit operation. References that potentially participate in an identity constraint are identified. The reference information is stored. An identity constraint graph is generated from the stored reference information. Techniques for facilitating key-sequence comparisons are described. Techniques for identifying violations to identity constraints are described. Techniques for identifying which identity constraint graphs are affected by a new or changed document are described.

Processing identity constraints in a data store

Model-based system monitoring includes accessing a model of a system that includes multiple components and executing a monitoring policy to monitor performance of the system. A notification of a problem is received from a first component. A determination is made regarding the cause of the problem. The determination is made, at least in part, based on the model of the system. At least one component associated with the cause of the problem is then identified.

Model-based system monitoring

Integrating design, deployment, and management phases for a system in accordance with certain aspects includes using a system definition model to design a system. The system definition model is subsequently used to deploy the system on one or more computing devices and, after deployment of the system, the system definition model is used to manage the system deployed on the one or more computing devices.

Integrating design, deployment, and management phases for systems

A storage device configured to join a shared community storage network. All or a portion of the storage device is registered with the community storage network as a storage node. Once registered with the network, third party data may be stored on the storage node and remotely accessed by third parties. In addition, data stored on the storage device by a user may be stored in the shared community storage network by encrypting the data, adding redundancy, and distributing it to other storage nodes within the storage network. Data that is stored in the storage network is accessible to the user even if their storage device is inaccessible or fails. The user may receive economic or non-economic incentives for allowing the storage device to join the shared community storage network.

Storage device for use in a shared community storage network

Modeling operational policies of operating a business's or institution's actual or planned IT system. The IT system may include components such as applications, application hosts, one or more networks or components thereof, hardware, and interrelationships between the components. The IT system is to be operated in accordance with operational policies that govern existence or numerosity of components, how the components are interrelated, how the components and interrelationships are configured, and/or manual or automated processes for managing and maintaining the IT system. The modeling may involve generating code that conforms to a language by declaring abstractions using types that correspond to the components of the IT system, by declaring types of interrelationships that correspond to the interrelationships of the IT system, and by defining constraints upon and between the abstract types, where the constraints correspond to operational policies of operating the IT system.

Modeling IT operations/policies

An architecture and methodology for designing, deploying, and managing a distributed application onto a distributed computing system is described.

Architecture for distributed computing system and automated design, deployment, and management of distributed applications

Model-based provisioning of test environments includes accessing a model of an application to be installed in a test environment of a system and further accessing a model of the system and a model of the test environment. An installation specification for the application is also generated, the installation specification being derived at least in part from the model of the application, the model of the system, and the model of the test environment.

Model-based provisioning of test environments

In accordance with certain aspects of the design time validation of systems, a description of a system being designed and a description of an environment are received. Both of the received descriptions are used to validate the system against the environment while the system is being designed and prior to attempting to deploy the system.

Design time validation of systems

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Seattle, WA, United States of America

Bassam Tabbara