负载平衡策略的基于云的部署框架

Komal Mahajan, Deepak Dahiya
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引用次数: 7

摘要

云计算正在通过构建更高功能的IT基础设施来填补这一空白,成为第五种公用事业服务。这使得云成为研究的重点领域之一。云研究人员缺乏使用真正的云测试平台的机会。学术界和研究中可用的云模拟工具存在一定的局限性,如对模拟设置的编程依赖性;对部署新的负载平衡算法的模拟器底层架构有必要的了解。此外,单个快照窗口无法用于多个模拟和数据库支持是其他缺点。本文通过引入具有增强功能的云模拟工具,如算法编辑器、多个模拟比较器和数据库支持,在很大程度上解决了这些问题。所建议的特性为模拟器应用程序提供了一个抽象。这使得研究人员可以集中精力更好地分析应用程序的行为,而不是理解底层架构的含义和工作方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A cloud based deployment framework for load balancing policies
Cloud computing is filling the gap as a fifth utility service by building higher capabilities of IT infrastructure. This lends the cloud for research as one of the focus areas. Cloud researchers lack the opportunity to work with real cloud test beds. The cloud simulation tools available in academia and research have certain limitations like programming dependency for simulation setup; prerequisite knowledge of simulator's underlying architecture for deployment of new load balancing algorithms. Further, non availability of a single snapshot window for multiple simulations and database support are other disadvantages. This paper addresses these issues to a great extent by introducing a cloud simulation tool with enhanced features like algorithm editor, multiple simulation comparator and database support. The proposed features provide an abstraction to the simulator application. This allows researchers to focus on better analysis of the behavior of applications rather than understanding the implications and working of the underlying architecture.
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