{"title":"Simulation methods for load balancing in distributed computing","authors":"Igor Ivanisenko, Maksym Volk","doi":"10.1109/EWDTS.2017.8110078","DOIUrl":null,"url":null,"abstract":"The paper proposes the solution of the actual scientific problem of load balancing and efficient use of distributed system resources. The proposed method is based on the calculation of the load of the central processor, memory and bandwidth fractal information streams of different classes of service for each server and the entire distributed system. The method allows calculating the imbalance of all system servers and use of the system. In general, Simulation modeling of the proposed method for various multi-fractal parameters of input streams have been carried out, which showed that the characteristics of multi-fractal traffic noticeably affect the system imbalance. The use of the proposed method allows for higher performance of the system and faster flow processing.","PeriodicalId":141333,"journal":{"name":"2017 IEEE East-West Design & Test Symposium (EWDTS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE East-West Design & Test Symposium (EWDTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EWDTS.2017.8110078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The paper proposes the solution of the actual scientific problem of load balancing and efficient use of distributed system resources. The proposed method is based on the calculation of the load of the central processor, memory and bandwidth fractal information streams of different classes of service for each server and the entire distributed system. The method allows calculating the imbalance of all system servers and use of the system. In general, Simulation modeling of the proposed method for various multi-fractal parameters of input streams have been carried out, which showed that the characteristics of multi-fractal traffic noticeably affect the system imbalance. The use of the proposed method allows for higher performance of the system and faster flow processing.