Invention Grant
US07941805B2 Affinity dispatching load balancer with precise CPU consumption data
有权
亲和调度负载平衡器,具有精确的CPU消耗数据
- Patent Title: Affinity dispatching load balancer with precise CPU consumption data
- Patent Title (中): 亲和调度负载平衡器,具有精确的CPU消耗数据
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Application No.: US11504155Application Date: 2006-08-15
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Publication No.: US07941805B2Publication Date: 2011-05-10
- Inventor: Donna N. Dillenberger , Greg A. Dyck , Stephen J. Heisig , Bernard R. Pierce , Donald W. Schmidt , Gong Su
- Applicant: Donna N. Dillenberger , Greg A. Dyck , Stephen J. Heisig , Bernard R. Pierce , Donald W. Schmidt , Gong Su
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Michael J. Buchenhorner; Derel S. Jennings
- Main IPC: G06F9/46
- IPC: G06F9/46 ; G06F15/173

Abstract:
A computer-implemented method for distributing a plurality of tasks over a plurality of processing nodes in a processor network includes the following steps: calculating a task process consumption value for the tasks; calculating a measured node processor consumption value for the nodes; calculating a target node processor consumption value for the nodes, the target node processor consumption value indicating optimal node processor consumption; calculating a load index value as a difference between the calculated node processor consumption value for a node i and the target node processor consumption value for node i; and distributing the tasks among the nodes to balance a processor workload among the nodes, according to the calculated load index value, such that the calculated load index value of each node is substantially zero. The method further embodies a multi-dimensional balancing matrix, each dimension of the matrix representing a node corresponding to a different processor type and each cell representing tasks assigned to multiple nodes.
Public/Granted literature
- US20080046895A1 Affinity dispatching load balancer with precise CPU consumption data Public/Granted day:2008-02-21
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