Erik Michael Kane

US Patent:

20100186010, Jul 22, 2010

Filed:

Jan 16, 2009

Appl. No.:

12/355091

Inventors:

Glen E. Chalemin - Austin TX, US
Erik A. Kane - San Jose CA, US
Alfredo V. Mendoza - Georgetown TX, US
Clifford J. Spinac - Austin TX, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 9/455

US Classification:

718 1

Abstract:

Embodiments that dynamically check availability of hardware resources for applications of virtual environments are contemplated. Various embodiments comprise one or more computing devices having various hardware resources available to applications of a virtual environment. Hardware resources may comprise, for example, amounts of memory, amounts or units of processing capability of one or more processors, and various types of peripheral devices. The embodiments may store hardware data pertaining to a specified amount of hardware recommended or required for an application to execute within the virtual environment. The embodiments may generally monitor for changes to the hardware configuration, which may affect amount of hardware available to the virtual environment and/or application. If the changes to the hardware reduce the amount of available hardware to a point beyond the specified amount of hardware, the embodiments may prevent the application from being executed or prevent the changes to the hardware configuration.

US Patent:

6405198, Jun 11, 2002

Filed:

Sep 4, 1998

Appl. No.:

09/148460

Inventors:

Roger Georges Bitar - San Jose CA
Jean Chen Ho - Saratoga CA
Jing-Song Jang - Cupertino CA
Erik Allan Kane - San Jose CA
James Louis Keesey - Sunnyvale CA
Angela Go Reyda - San Jose CA
Gerald Johann Wilmot - Marina CA

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 1730

US Classification:

707 6, 707 3, 707 4, 707200, 707 5

Abstract:

In a database processing system with a partitioned database that provides relational extenders to support storage of and access to complex data types, metadata table rows are collocated with corresponding relational table partitions. Image indexes are generated and stored at system nodes with their corresponding relational table partitions. Image query processing is conditioned to account for the partitioned structure of the database.