{"title":"Dynamic load distribution using anti-tasks and load state vectors","authors":"Qin Lu, S. Lau, K. Leung","doi":"10.1109/ICDCS.1998.679504","DOIUrl":null,"url":null,"abstract":"We propose a new load distribution (LD) algorithm which is based on anti-tasks and load state vectors. Anti-tasks are composite agents which travel around a distributed system to facilitate the pairing up of task senders and receivers, as well as the collection and dissemination of load information. Time-stamped load information of processing nodes is stored in load state vectors which, when used together with anti-tasks, encourage mutual sharing of load information among processing nodes. Anti-tasks, which make use of load state vectors to decide their travelling paths, are spontaneously directed towards processing nodes having high transient workload, thus allowing their surplus work-load to be relocated quickly.","PeriodicalId":289230,"journal":{"name":"Proceedings. 18th International Conference on Distributed Computing Systems (Cat. No.98CB36183)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 18th International Conference on Distributed Computing Systems (Cat. No.98CB36183)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCS.1998.679504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
We propose a new load distribution (LD) algorithm which is based on anti-tasks and load state vectors. Anti-tasks are composite agents which travel around a distributed system to facilitate the pairing up of task senders and receivers, as well as the collection and dissemination of load information. Time-stamped load information of processing nodes is stored in load state vectors which, when used together with anti-tasks, encourage mutual sharing of load information among processing nodes. Anti-tasks, which make use of load state vectors to decide their travelling paths, are spontaneously directed towards processing nodes having high transient workload, thus allowing their surplus work-load to be relocated quickly.