Bruce Daniel Mcleod

8281022, Oct 2, 2012

Jun 30, 2000

09/608521

Raju C. Bopardikar - Carlisle MA, US
Jacob Y. Bast - Framingham MA, US
Gary A. Cardone - Groton MA, US
David E. Kaufman - Sharon MA, US
Stuart P. MacEachern - Westboro MA, US
Bruce D. McLeod - Sudbury MA, US
Zdenek Radouch - Newton MA, US
Jack J. Stiffler - Marion MA, US

EMC Corporation - Hopkinton MA

G06F 15/16

709229, 709238, 709239

A data system architecture is described that allows multiple processing and storage resources to be connected to multiple clients so as 1) to distribute the clients' workload efficiently across the available resources; and 2) to enable scaleable expansion, both in terms of the number of clients and in the number of resources. The major features of the architecture are separate, modular, client and resource elements that can be added independently, a high-performance cross-bar data switch interconnecting these various elements, separate serial communication paths for controlling the cross-bar switch settings, separate communication paths for passing control information among the various elements and a resource utilization methodology that enables clients to distribute processing or storage tasks across all available resources, thereby eliminating “hot spots” resulting from uneven utilization of those resources.

8291094, Oct 16, 2012

Mar 20, 2006

11/384779

Raju C. Bopardikar - Carlisle MA, US
Jacob Y. Bast - Framingham MA, US
Gary A. Cardone - Groton MA, US
David E. Kaufman - Sharon MA, US
Stuart P. MacEachern - Hopkinton MA, US
Bruce D. McLeod - Sudbury MA, US
James M. Nolan - Holliston MA, US
Zdenek Radouch - Newton MA, US
Jack J. Stiffler - Marion MA, US
James A. Wentworth - Shrewsbury MA, US

EMC Corporation - Hopkinton MA

G06F 15/16

709229, 709231, 709238

A data system architecture is described that allows multiple processing and storage resources to be connected to multiple clients so as 1) to distribute the clients' workload efficiently across the available resources; and 2) to enable scaleable expansion, both in terms of the number of clients and in the number of resources. The major features of the architecture are separate, modular, client and resource elements that can be added independently, a high-performance cross-bar data switch interconnecting these various elements, separate serial communication paths for controlling the cross-bar switch settings, separate communication paths for passing control information among the various elements and a resource utilization methodology that enables clients to distribute processing or storage tasks across all available resources, thereby eliminating “hot spots” resulting from uneven utilization of those resources.

20060161642, Jul 20, 2006

Mar 20, 2006

11/384756

Raju Bopardikar - Carlisle MA, US
Jacob Bast - Framingham MA, US
Gary Cardone - Groton MA, US
David Kaufman - Sharon MA, US
Stuart MacEachern - Hopkinton MA, US
Bruce McLeod - Sudbury MA, US
James Nolan - Holliston MA, US
Zdenek Radouch - Newton MA, US
Jack Stiffler - Marion MA, US
James Wentworth - Shrewsbury MA, US

EMC Corporation - Hopkinton MA

G06F 15/16

709219000

A data system architecture is described that allows multiple processing and storage resources to be connected to multiple clients so as 1) to distribute the clients' workload efficiently across the available resources; and 2) to enable scaleable expansion, both in terms of the number of clients and in the number of resources. The major features of the architecture are separate, modular, client and resource elements that can be added independently, a high-performance cross-bar data switch interconnecting these various elements, separate serial communication paths for controlling the cross-bar switch settings, separate communication paths for passing control information among the various elements and a resource utilization methodology that enables clients to distribute processing or storage tasks across all available resources, thereby eliminating “hot spots” resulting from uneven utilization of those resources.

20120324159, Dec 20, 2012

Aug 22, 2012

13/591579

Raju C. BOPARDIKAR - Carlisle MA, US
Jacob Y. BAST - Framingham MA, US
Gary A. CARDONE - Groton MA, US
David E. KAUFMAN - Sharon MA, US
Stuart P. MACEACHERN - Hopkinton MA, US
Bruce D. MCLEOD - Sudbury MA, US
Zdenek RADOUCH - Newton MA, US
Jack J. STIFFLER - Marion MA, US

EMC CORPORATION - Hopkinton MA

G06F 12/02

711112, 711161, 711E12002

A data system architecture is described that allows multiple processing and storage resources to be connected to multiple clients so as 1) to distribute the clients' workload efficiently across the available resources; and 2) to enable scaleable expansion, both in terms of the number of clients and in the number of resources. The major features of the architecture are separate, modular, client and resource elements that can be added independently, a high-performance cross-bar data switch interconnecting these various elements, separate serial communication paths for controlling the cross-bar switch settings, separate communication paths for passing control information among the various elements and a resource utilization methodology that enables clients to distribute processing or storage tasks across all available resources, thereby eliminating “hot spots” resulting from uneven utilization of those resources.