{"title":"基于BDI agent的冲突管理策略在计算网格资源管理中的应用","authors":"O. Rana, M. Winikoff, L. Padgham, James Harland","doi":"10.1145/563857.563825","DOIUrl":null,"url":null,"abstract":"Managing resources in large scale distributed systems --- \"Computational Grids\", is a complex and time sensitive process. The computational resources being shared vary in type and complexity, and resource properties can change over time. An approach based on interacting software agents is presented, where each resource manager and resource requester is modelled as a BDI (Belief-Desire-Intention) agent. The proposed approach can help resolve conflicts that arise during resource discovery and application scheduling, and enables site autonomy to be maintained. The modelling and detection of conflicts is important in the context of this work, to enable each resource and application to respond to changes in the environment. We propose a BDI based framework that can be used to model agents that represent resources and applications --- and outline properties that each must maintain.","PeriodicalId":136130,"journal":{"name":"Australasian Computer Science Conference","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Applying Conflict Management Strategies in BDI Agents for Resource Management in Computational Grids\",\"authors\":\"O. Rana, M. Winikoff, L. Padgham, James Harland\",\"doi\":\"10.1145/563857.563825\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Managing resources in large scale distributed systems --- \\\"Computational Grids\\\", is a complex and time sensitive process. The computational resources being shared vary in type and complexity, and resource properties can change over time. An approach based on interacting software agents is presented, where each resource manager and resource requester is modelled as a BDI (Belief-Desire-Intention) agent. The proposed approach can help resolve conflicts that arise during resource discovery and application scheduling, and enables site autonomy to be maintained. The modelling and detection of conflicts is important in the context of this work, to enable each resource and application to respond to changes in the environment. We propose a BDI based framework that can be used to model agents that represent resources and applications --- and outline properties that each must maintain.\",\"PeriodicalId\":136130,\"journal\":{\"name\":\"Australasian Computer Science Conference\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Australasian Computer Science Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/563857.563825\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australasian Computer Science Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/563857.563825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Applying Conflict Management Strategies in BDI Agents for Resource Management in Computational Grids
Managing resources in large scale distributed systems --- "Computational Grids", is a complex and time sensitive process. The computational resources being shared vary in type and complexity, and resource properties can change over time. An approach based on interacting software agents is presented, where each resource manager and resource requester is modelled as a BDI (Belief-Desire-Intention) agent. The proposed approach can help resolve conflicts that arise during resource discovery and application scheduling, and enables site autonomy to be maintained. The modelling and detection of conflicts is important in the context of this work, to enable each resource and application to respond to changes in the environment. We propose a BDI based framework that can be used to model agents that represent resources and applications --- and outline properties that each must maintain.