Silicon Graphics, Incorporated

Sony Computer Entertainment America LLC

Sony Interactive Entertainment America LLC

Openwave Systems Inc.

Luca Castellano

Ira Pramanick

Raghu Mallena

Ajit Dandapani

Manish Verma

Padmanabhan Sreenivasan

Michael Nishimoto

Robert David Bradshaw

Sharad Srivastava

Alex Xueyuan Huang

Robert D Bradshaw, Jr

A system for implementing a failover policy includes a cluster infrastructure for managing a plurality of nodes, a high availability infrastructure for providing group and cluster membership services, and a high availability script execution component operative to receive a failover script and at least one failover attribute and operative to produce a failover domain. In addition, a method for determining a target node for a failover comprises executing a failover script that produces a failover domain, the failover domain having an ordered list of nodes, receiving a failover attribute and based on the failover attribute and failover domain, selecting a node upon which to locate a resource.

Flexible failover policies in high availability computing systems

A high availability computing system includes a plurality of computer nodes (for example, a server system) connected by a first and a second network, wherein the computer nodes communicate with each other to detect server failure and transfer applications to other computer nodes on detecting server failure. The system incorporates methods of maintaining high availability in a server cluster having a plurality of nodes. A group communications service, a membership service and a system resource manager are instantiated on each node and the group communications service, the membership service and the system resource manager on each node communicate with other nodes to detect node failures and to transfer applications to other nodes on detecting node failure.

Maintaining process group membership for node clusters in high availability computing systems

A centralized synchronization system synchronizes data stored in multiple devices distributed over a relatively unreliable network, to provide automatic recovery from synchronization failures. The synchronization system maintains a truth database indicating the true state of the data and action tables indicating actions to be performed on each of the devices during a next update of the data. Data is retrieved from the devices over the network, and actual states of the data are determined from the action tables and the retrieved data. The truth database and action tables are updated accordingly. An effective action table is then generated to account for any of the devices which were offline during the most-recent synchronization. The truth database and effective action tables are saved to a central database in an atomic transaction. The effective action tables are then used to update the data on the devices over the network.

Reliable data synchronization over unreliable networks

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Los Gatos, CA, United States of America

Luca Castellano