基于智能系统加强云资源管理

IF 1.2 Q3 MULTIDISCIPLINARY SCIENCES
Manal Fadhil Younis
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引用次数: 0

摘要

云计算是一种重要的技术模式,最有可能改变 IT 活动的开展方式。云计算提供低成本、可扩展的 IT 资源。云提供商努力改善业务成果,因此云系统变得更加复杂。智能云面临着一系列问题,包括优化云服务以及自适应、经济地设计和分配资源。采用智能技术改善云管理尤其是云管理的趋势日益明显。本文介绍了一种无延迟、无障碍管理云资源的智能方法。首先设计一个基于遗传算法(GA)的系统,将其作为实现目标和规划预测请求的计算工具,然后依靠循环(RR)算法分配请求进行处理。为了评估这种方法的性能,对所提出的算法在 145 个请求中进行了验证。其中,实施系统取得了合理的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Cloud Resource Management Based on Intelligent System
Cloud computing is a significant technology model with the strongest potential to change the way IT activities are carried out. The cloud offers low-cost and scalable IT resources. Cloud providers strive to improve business outcomes so cloud systems become more complex. The intelligent cloud has a number of issues, including optimizing the cloud service and designing and distributing resources adaptively and economically. There is a rising trend toward adopting intelligent technologies to better cloud management in particular. This paper introduces an intelligent method to manage cloud resources without delay or trouble. Starting with designing a system based on a genetic algorithm (GA) as a computational tool to achieve the goal and plan a predictive request then depending on the round robin (RR) algorithm to allocate the requests for processing. To evaluate the performance of this method, the proposed algorithm was verified in 145 requests. Where the implementation system achieved a reasonable result.
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来源期刊
Baghdad Science Journal
Baghdad Science Journal MULTIDISCIPLINARY SCIENCES-
CiteScore
2.00
自引率
50.00%
发文量
102
审稿时长
24 weeks
期刊介绍: The journal publishes academic and applied papers dealing with recent topics and scientific concepts. Papers considered for publication in biology, chemistry, computer sciences, physics, and mathematics. Accepted papers will be freely downloaded by professors, researchers, instructors, students, and interested workers. ( Open Access) Published Papers are registered and indexed in the universal libraries.
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