云计算中负载均衡的层次分类法

Saikrishna, Chapala Venkataramana, T. Sandeep, Venkata Varma, Rd. Suryakanth, M. Nageshwar Rao
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引用次数: 0

摘要

一种多变量、多约束的负载不平衡问题降低了计算机资源的有效性和性能。过载和负载不足是负载不平衡的两个不希望看到的方面,负载平衡解决方案可以解决这些问题。在可能的范围内,目前使用的各种负载平衡方法没有以全面、彻底、系统或分层的方式组织起来。此外,文献既没有研究也没有考虑负载不平衡的原因。本研究全面分析了各种负载均衡策略。在未来构建高效的负载平衡算法,强调当前系统的优点和缺点,并解决重大问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Hierarchical Taxonomy of Load Balancing in Cloud Computing
A multi-variant, multi-constrain problem called load unbalancing reduces the effectiveness and performance of computer resources. Overloading and under loading are two undesired aspects of load unbalancing that are addressed by load balancing solutions. To the extent possible, various load balancing approaches currently in use are not organised in a comprehensive, thorough, systematic, or hierarchical manner.Furthermore, the literature neither studies nor considers the causes of load unbalancing. This study provides a comprehensive analysis various load-balancing strategy. Build efficient load balancing algorithms in the future, the benefits and drawbacks of current systems are emphasised, and significant problems are addressed.
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