2010Unpublished venueRequires access

Genetic Algorithm approach to Operating system process scheduling problem

Rakesh Kumar, Rajiv Kumar, Er Sanjeev Gill

Open publisher page 13 citations

Abstract

This paper present the implementation of genetic algorithm for operating system process scheduling. Scheduling in operating systems has a significant role in overall system performance and throughput. An efficient scheduling is vital for system performance. The scheduling is considered as NP hard problem .In this paper , we use the power of genetic algorithm to provide the efficient process scheduling. the aim is to obtain an efficient scheduler to allocate and schedule the process to CPU. we will evaluate the performance and efficiency of the proposed algorithm using simulation results.

About this research paper

What this paper is about

This paper present the implementation of genetic algorithm for operating system process scheduling. Scheduling in operating systems has a significant role in overall system performance and throughput. An efficient scheduling is vital for system performance. The scheduling is considered as NP hard problem .In this paper , we use the power of genetic algorithm to provide the efficient process scheduling. the aim is to obtain an efficient scheduler to allocate and schedule the process to CPU. we will evaluate the performance and efficiency of the proposed algorithm using simulation results.

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OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper present the implementation of genetic algorithm for operating system process scheduling. Scheduling in operating systems has a significant role in overall system performance and throughput. An efficient scheduling is vital for system performance. The scheduling is considered as NP hard problem .In this paper , we use the power of genetic algorithm to provide the efficient process scheduling. the aim is to obtain an efficient scheduler to allocate and schedule the process to CPU. we will evaluate the performance and efficiency of the proposed algorithm using simulation results.

Key concepts: Fair-share scheduling, Rate-monotonic scheduling, Computer science, Two-level scheduling, Round-robin scheduling, Genetic algorithm scheduling, Dynamic priority scheduling, Fixed-priority pre-emptive scheduling

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