Chai, 2023 - Google Patents
Task scheduling based on swarm intelligence algorithms in high performance computing environmentChai, 2023
- Document ID
- 2820660032123808880
- Author
- Chai X
- Publication year
- Publication venue
- Journal of Ambient Intelligence and Humanized Computing
External Links
Snippet
The high-performance computing environment is a computing platform, which aggregates multiple distributed high-performance computers from indifferent organizations, providing users with unified access and usage patterns. Since the task scheduling strategy is lack of …
- 238000004422 calculation algorithm 0 title abstract description 108
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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- G06F9/485—Task life-cycle, e.g. stopping, restarting, resuming execution
- G06F9/4856—Task life-cycle, e.g. stopping, restarting, resuming execution resumption being on a different machine, e.g. task migration, virtual machine migration
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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
- 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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- G06F9/5083—Techniques for rebalancing the load in a distributed system
- G06F9/5088—Techniques for rebalancing the load in a distributed system involving task migration
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- G06F9/5094—Allocation of resources, e.g. of the central processing unit [CPU] where the allocation takes into account power or heat criteria
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- G06F9/455—Emulation; Software simulation, i.e. virtualisation or emulation of application or operating system execution engines
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- G06F15/00—Digital computers in general; Data processing equipment in general
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