JOURNAL ARTICLE

DISTRIBUTED HETEROGENEOUS COMPUTING SYSTEMS FOR TASK SCHEDULING ALGORITHMS

Dr. AJITESH S BAGHEL

Year: 2024 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

ABSTRACTFast computing meets truly expanding constant computational requests through the utilizing of adaptability and parallelism. The adaptability is accomplished when computing platform planned with heterogeneous assets to help diverse tasks of an application where as task scheduling brings equal handling. The productive task scheduling is basic to get enhanced performance in heterogeneous computing Systems (HCS). In this paper, we brought an audit of different application scheduling models which give parallelism to homogeneous and heterogeneous computing systems. In this paper, we made an audit of different scheduling strategies focused to high velocity computing systems and furthermore arranged outline graph. The similar investigation of scheduling approachs for rapid computing systems has been done dependent on the credits of platform and application also. The ascribes are execution time, nature of task, task taking care of capacity, sort of host and computing platform. At long last a synopsis outline has been readied and it shows that the need of creating scheduling approachs for Heterogeneous Reconfigurable Computing Systems (HRCS) which is an arising rapid computing platform for continuous applications.Keywords: Heterogeneous Computing System, Reconfigurable Hardware, Scheduling, soft core processor, hard core processor

Keywords:
Symmetric multiprocessor system Adaptability Scheduling (production processes) Dynamic priority scheduling Fair-share scheduling Two-level scheduling Fixed-priority pre-emptive scheduling sort

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