{"title":"使用反任务和负载状态向量的动态负载分配","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":"{\"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}","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}
Dynamic load distribution using anti-tasks and load state vectors
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.