Oracle International Corporation

Sun Microsystems, Inc.

Oracle America, Inc.

John Forte

Aaron Dailey

Young Jin Nam

Sumit Gupta

Waikwan Hui

Paul D Von Behren

Aspects of dynamic data compression selection are presented. In an example method, as uncompressed data chunks of a data stream are compressed, at least one performance factor affecting selection of one of multiple compression algorithms for the uncompressed data chunks of the data stream may be determined. Each of the multiple compression algorithms may facilitate a different expected compression ratio. One of the multiple compression algorithms may be selected separately for each uncompressed data chunk of the data stream based on the at least one performance factor. Each uncompressed data chunk may be compressed using the selected one of the multiple compression algorithms for the uncompressed data chunk.

Dynamic data compression selection

A storage array includes at least one target and a logical unit having a logical unit number. The storage array is configured to receive input defining a host group comprising at least one initiator and receive input defining a target group comprising the at least one target. The host group, target group and logical unit number define a view entry. The storage array is further configured to apply the view entry to the logical unit to provide a logical unit inventory that is provisioned for the at least one initiator.

Storage area network and method for provisioning therein

Provided are a method, system, and article of manufacture. A first process creates a second process. A cipher is generated. The first process is terminated. Access is controlled to the generated cipher.

Method, system, and article of manufacture for remote management of devices

Growing community of inventors

Redwood City, CA, United States of America

John Forte