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- W4301431343 abstract "In high performance computing environment using containers, the performance of an application is always a point of concern in terms of resource allocation. Cluster is formed using containers which are provisioned based on the configuration provided as per application need. The environment has its own distributed cluster using physical machines to launch these containers. The dynamic allocation of containers provides the flexibility for clusters but does not ensure the processing of multiple requests at the same time due to resource limitations. It is difficult to figure out which request has to get the resource in terms of memory, GPU and CPU and which can be avoided due to shortage of resources. This paper describes a priority queue-based framework which is internally based on an algorithm to schedule the resource allocation incoming requests to the containers required to execute high performance computing (HPC) applications. It behaves like a priority-based scheduler to schedule resources allocation. Higher-based priority request will first get the requested resources. Request with same priority will be considered based on request submission time. It is implemented to provide a high performance computing environment to have the solution for allocating the required computing resources to containers and ensure that critical applications with higher priority will get the computing resources. The proposed framework will allocate the resources to containers in a well-balanced environment. The performance has been evaluated and compared with existing algorithms and scheduler." @default.
- W4301431343 created "2022-10-05" @default.
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- W4301431343 date "2022-10-06" @default.
- W4301431343 modified "2023-09-28" @default.
- W4301431343 title "Priority Queue-Based Framework for Allocation of High Performance Computing Resources" @default.
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- W4301431343 doi "https://doi.org/10.1007/978-981-19-3575-6_33" @default.
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