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Dhakal et al., 2020 - Google Patents

ECML: Improving efficiency of machine learning in edge clouds

Dhakal et al., 2020

View PDF
Document ID
1260830465177154109
Author
Dhakal A
Kulkarni S
Ramakrishnan K
Publication year
Publication venue
2020 IEEE 9th International Conference on Cloud Networking (CloudNet)

External Links

Snippet

Edge cloud data centers (Edge) are deployed to provide responsive services to the end- users. Edge can host more powerful CPUs and DNN accelerators such as GPUs and may be used for offloading tasks from end-user devices that require more significant compute …
Continue reading at par.nsf.gov (PDF) (other versions)

Classifications

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    • G06F9/46Multiprogramming arrangements
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    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505Allocation 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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    • G06F9/485Task life-cycle, e.g. stopping, restarting, resuming execution
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