Concurrent Negotiations for Agent-Based Grid Computing
Since the Grid and agent communities both develop concepts and mechanisms for open distributed systems, agent-based Grid Computing is put forward. However, there are challenges about effective load balancing for Grid Computing, because of the highly heterogeneous and complex computing environments, even though agents and agent-based Grid Computing approach are used. To solve the problems, in this paper a concurrent negotiations model is presented, in which an auction is mapped into a one-to-many negotiation between one seller agent and many buyer agents in service-oriented contexts. Thus, the mechanism and process of concurrent negotiations are studied. An agent negotiates with many other agents and coordinates balance in Grid Computing resources. The results of exploratory evaluation show that this concurrent negotiations model has a advantage in achieving more and higher utility agreements than other models to optimize computing resources allocation.
agent agent-based Grid Computing concurrent negotiation.
Xiong Li Yujin Wu Kai Wang Zongchang Xu
Department of Command and Administration Academy of Armored Force Engineering, Beijing 100072, China
国际会议
Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)
北京
英文
31-36
2006-07-17（万方平台首次上网日期，不代表论文的发表时间）