{"title":"生物启发的负载平衡方法,以减少云数据中心的能源消耗","authors":"A. Goyal, Navdeep S. Chahal","doi":"10.1109/CCINTELS.2015.7437950","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":131816,"journal":{"name":"2015 Communication, Control and Intelligent Systems (CCIS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Bio inspired approach for load balancing to reduce energy consumption in cloud data center\",\"authors\":\"A. Goyal, Navdeep S. Chahal\",\"doi\":\"10.1109/CCINTELS.2015.7437950\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":131816,\"journal\":{\"name\":\"2015 Communication, Control and Intelligent Systems (CCIS)\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Communication, Control and Intelligent Systems (CCIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCINTELS.2015.7437950\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Communication, Control and Intelligent Systems (CCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCINTELS.2015.7437950","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.