基于自治代理的云系统最短路径负载均衡

Aarti Vig, R. S. Kushwah, R. S. Tomar, S. Kushwah
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引用次数: 4

摘要

云计算在计算的每个领域都得到了充分的应用。随着互联网使用量的增加,云用户也在增加,云中的数据量也在增加。云计算具有各种特性,如资源池、普遍性、虚拟化、效用计算、按次付费等。有了这些特性,就有很多重要的问题需要关注,比如容错、负载平衡、可用性等。许多研究人员关心的主要问题是如何有效地管理数据。由于广泛的离散和云中的大量数据,数据库也会过载。如果本地代理的虚拟机中没有可用空间,它将在其邻居中搜索空间以执行该进程。本地代理将进程id、本地主机id和虚拟机配置信息传递给相邻代理,并应用Dijkstra算法在本地主机上搜索合适的虚拟机进行处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous Agent Based Shortest Path Load Balancing in Cloud
Cloud computing came into the full existence in every field of computing. As the usage of internet increases the cloud user also increases and the volume of data in the cloud also increases. Cloud computing has various characteristics like resource pooling, ubiquity, virtualization, utility computing, pay per uses etc. With all these characteristics there are various important issues which is to be focused like fault tolerance, load balancing, availability etc. The main concern of the many researchers is to manage the data efficiently. Due to wide Diaspora and bulk volume of data in the cloud the database is also overloaded. If there is no available space in the virtual machine of a local agent it will search the space in their neighbor for executing it process. The local agent includes the process id, local host id and virtual machine configuration to its neighboring agents and apply Dijkstra’s algorithm for searching suitable virtual machine in local host for processing.
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