{"title":"分布式应用中改进EPCLB算法的评价","authors":"T. Enokido, M. Takizawa","doi":"10.1109/INCoS.2011.88","DOIUrl":null,"url":null,"abstract":"The extended power consumption laxity-based (EPCLB) algorithm is discussed for reducing the total power consumption of servers in general type applications in this paper. However, each time a load balancer receives a new request, the load balancer has to collect the state on computation and transmission laxities of processes and traffic in each server and estimate the power consumption to perform the request. Since the state of each server might be changed during estimation to perform the request, it is difficult to correctly estimate the power consumption. In this paper, we improve the EPCLB algorithm so that the total power consumption of servers and the communication overhead of a load balancer can be reduced. We evaluate the improved EPCLB (IEPCLB) algorithm compared with the EPCLB and round-robin (RR) algorithms.","PeriodicalId":235301,"journal":{"name":"2011 Third International Conference on Intelligent Networking and Collaborative Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of the Improved EPCLB Algorithm for Distributed Applications\",\"authors\":\"T. Enokido, M. Takizawa\",\"doi\":\"10.1109/INCoS.2011.88\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The extended power consumption laxity-based (EPCLB) algorithm is discussed for reducing the total power consumption of servers in general type applications in this paper. However, each time a load balancer receives a new request, the load balancer has to collect the state on computation and transmission laxities of processes and traffic in each server and estimate the power consumption to perform the request. Since the state of each server might be changed during estimation to perform the request, it is difficult to correctly estimate the power consumption. In this paper, we improve the EPCLB algorithm so that the total power consumption of servers and the communication overhead of a load balancer can be reduced. We evaluate the improved EPCLB (IEPCLB) algorithm compared with the EPCLB and round-robin (RR) algorithms.\",\"PeriodicalId\":235301,\"journal\":{\"name\":\"2011 Third International Conference on Intelligent Networking and Collaborative Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Third International Conference on Intelligent Networking and Collaborative Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INCoS.2011.88\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Third International Conference on Intelligent Networking and Collaborative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCoS.2011.88","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of the Improved EPCLB Algorithm for Distributed Applications
The extended power consumption laxity-based (EPCLB) algorithm is discussed for reducing the total power consumption of servers in general type applications in this paper. However, each time a load balancer receives a new request, the load balancer has to collect the state on computation and transmission laxities of processes and traffic in each server and estimate the power consumption to perform the request. Since the state of each server might be changed during estimation to perform the request, it is difficult to correctly estimate the power consumption. In this paper, we improve the EPCLB algorithm so that the total power consumption of servers and the communication overhead of a load balancer can be reduced. We evaluate the improved EPCLB (IEPCLB) algorithm compared with the EPCLB and round-robin (RR) algorithms.
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