DECENTRALIZED LOAD DISTRIBUTION TO REDUCE POWER AND/OR COOLING COSTS IN AN EVENT-DRIVEN SYSTEM

Patent №

US 8,479,215

Granted

2013-07-02

Filed 2009

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

1

kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12543474

A computer-implemented method, computer program product and computer readable storage medium directed to decentralized load placement in an event-driven system so as to minimize energy and cooling related costs. Included are receiving a data flow to be processed by a plurality of tasks at a plurality of nodes in the event-driven system having stateful and stateless event processing components, wherein the plurality of tasks are selected from the group consisting of hierarchical tasks (a task that is dependent on the output of another task), nonhierarchical tasks (a task that is not dependent on the output of another task) and mixtures thereof. Nodes are considered for quiescing whose current tasks can migrate to other nodes while meeting load distribution and energy efficiency parameters and the expected duration of the quiesce provides benefits commensurate with the costs of quiesce and later restart. Additionally, tasks are considered for migrating to neighbor nodes to distribute the system load of processing the tasks and reduce cooling costs.

Knowledge representationG06F 9/5088G06F 9/505G06F 9/5094H04L 67/1001G06F 9/4893Y02D 10/00

AI classification

Knowledge representation0.86
AI hardware0.45
Machine learning0.12
Planning0.02
Natural language0.00
Vision0.00
Speech0.00
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 231140468

Assignors

LAKSHMANAN, GEETIKA TEWARI, RABINOVICH, YURI R., SCHLOSS, ROBERT JEFFREY

On an employer assignment, the assignors are typically the inventors.

From the same owner

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