基于令牌策略的分布式系统资源共享协议

IF 1.4 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI:10.1504/ijcse.2023.129149
Ashish Singh Parihar, Swarnendu Kumar Chakraborty
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引用次数: 3

摘要

互斥是分布式系统研究的热点之一。为了避免任何不一致的系统状态,在不同处理器上执行的多个进程不允许同时调用它们的临界区,以实现资源共享。基于令牌的分布式互斥算法策略作为解决这类资源分配问题的一种主要分类方法,是该领域中最流行和最重要的互斥处理方法之一。通过本文的研究,我们提出了一种新的基于令牌的分布式互斥算法。与现有解决方案相比,建议的解决方案具有可伸缩性,并且在消息复杂性方面具有更好的结果。在这个提议的艺术工作,每个关键部分调用消息交换的数量是3(⌈log N⌉- 1),3⌈(⌈log (N + 1)⌉- 1)/ 2⌉和6[⌈log (N + 1)⌉+ 2(2(-⌈log (N + 1)⌉)- 1))在轻负载的情况下,介质分别负载和高负载的情况下。
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A new resource sharing protocol in the light of token-based strategy for distributed system
One of the highly researched areas in distributed system is mutual exclusion. To avoid any inconsistent state of system, more than one processes executing on different processors are not allowed to invoke their critical sections simultaneously for the purpose of resource sharing. As a solution to such resource allocation issues, token-based strategy for distributed mutual exclusion algorithms as a prime classification of solutions is one of the most popular and significant ways to handle mutual exclusion in this field. Through this research article, we propose a novel token-based distributed mutual exclusion algorithm. The proposed solution is scalable and has better results in terms of message complexity compared to existing solutions. In this proposed art of work, the numbers of messages exchange per critical section invocation are 3(⌈log N⌉ - 1), 3⌈(⌈log (N + 1) ⌉ - 1)/2⌉ and 6[⌈log (N + 1)⌉ + 2(2(-⌈log (N+1)⌉) - 1)] in case of light load, medium load and high load situations respectively.
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来源期刊
International Journal of Computational Science and Engineering
International Journal of Computational Science and Engineering COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.00
自引率
40.00%
发文量
73
期刊介绍: Computational science and engineering is an emerging and promising discipline in shaping future research and development activities in both academia and industry, in fields ranging from engineering, science, finance, and economics, to arts and humanities. New challenges arise in the modelling of complex systems, sophisticated algorithms, advanced scientific and engineering computing and associated (multidisciplinary) problem-solving environments. Because the solution of large and complex problems must cope with tight timing schedules, powerful algorithms and computational techniques, are inevitable. IJCSE addresses the state of the art of all aspects of computational science and engineering with emphasis on computational methods and techniques for science and engineering applications.
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