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Cao et al., 2025 - Google Patents

Adaptive container scheduling based on reinforcement learning in kubernetes: R. Cao et al.

Cao et al., 2025

Document ID
8533628396883249199
Author
Cao R
Zhang P
Wu Y
Liu J
Su H
Publication year
Publication venue
CCF Transactions on High Performance Computing

External Links

Snippet

In the cross-center large-scale solver cloud native and application demonstration project, microservice architecture plays a crucial role in the distributed cross-center deployment of application. However, large-scale deployment of applications will cause a resource …
Continue reading at link.springer.com (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
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    • 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
    • G—PHYSICS
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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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