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Zhu et al., 2022 - Google Patents

QoS-aware co-scheduling for distributed long-running applications on shared clusters

Zhu et al., 2022

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Document ID
8716287784576044383
Author
Zhu J
Yang R
Sun X
Wo T
Hu C
Peng H
Xiao J
Zomaya A
Xu J
Publication year
Publication venue
IEEE Transactions on Parallel and Distributed Systems

External Links

Snippet

To achieve a high degree of resource utilization, production clusters need to co-schedule diverse workloads–including both batch analytic jobs with short-lived tasks and long-running applications (LRAs) that execute for a long time frame from hours to months–onto the shared …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

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    • G06F9/46—Multiprogramming arrangements
    • G06F9/48—Programme initiating; Programme switching, e.g. by interrupt
    • G06F9/4806—Task transfer initiation or dispatching
    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
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    • 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
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    • G06F11/30—Monitoring
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    • G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
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