生物启发的负载平衡方法,以减少云数据中心的能源消耗

A. Goyal, Navdeep S. Chahal
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引用次数: 8

摘要

云计算使得从世界任何地方通过高速网络访问各种it资源成为可能。不断增长的云计算需求在消费者和供应商中同样受欢迎。但是随着技术的进步,每一项技术也会带来一些不良影响。在同样的道路上,云计算也伴随着一个严重的问题,那就是能源消耗。本文选择萤火虫算法作为一种生物启发的方法来执行负载平衡,以降低云数据中心的能耗。并与粒子群优化算法(PSO)进行了比较。萤火虫算法所消耗的能量小于粒子群算法所消耗的能量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bio inspired approach for load balancing to reduce energy consumption in cloud data center
Cloud computing has made it feasible to access various IT resources through a high speed network from anywhere in the world. Constant increasing demand of cloud computing is equally popular in consumers as well as providers. But along with advancement every technology is also associated with some ill effects. On same path, cloud computing also accompanies a serious issue with it and that issue is energy consumption. In this paper Firefly Algorithm has been selected as a proposed bio-inspired approach to perform load balancing to reduce energy consumption in cloud data center. Further, the results are compared with Particle Swarm optimization Algorithm (PSO). The energy consumed in case of Firefly Algorithm is less than energy consumed in PSO Algorithm.
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