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Li et al., 2020 - Google Patents

An effective scheduling strategy based on hypergraph partition in geographically distributed datacenters

Li et al., 2020

Document ID
10376858280530419540
Author
Li C
Zhang Y
Hao Z
Luo Y
Publication year
Publication venue
Computer Networks

External Links

Snippet

As the complexity of workflow applications increase, the scheduling and execution of workflow incur more waste of resources. In order to achieve load balancing and reduce the task execution time in the cloud system, an effective scheduling strategy based on …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
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    • G06F9/5038—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the execution order of a plurality of tasks, e.g. taking priority or time dependency constraints into consideration
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    • G—PHYSICS
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