Negotiation to Execute Continuous Long-Term Tasks

被引:3
|
作者
Haberland, Valeriia [1 ]
Miles, Simon [1 ]
Luck, Michael [1 ]
机构
[1] Kings Coll London, London WC2R 2LS, England
关键词
D O I
10.3233/978-1-61499-419-0-1019
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recently, research has focused on processing tasks that require continuous execution to produce data in a real-time manner. Such tasks often also need to be executed for long periods of time such as years, requiring large amounts of resources (e.g. CPUs) that can be found in a Grid. However, a Grid may be unwilling or unable to allocate resources for continuous usage far in advance, because of high fluctuations in resource availability and/or resource demand. Therefore, a client must relax its requirements in terms of long-term execution, and negotiate a shorter period of execution time; when this period ends, the client must negotiate again to continue task's execution. We propose a negotiation strategy, ConTask, which helps to increase the periods of execution time, and reduce the length of interruptions between them.
引用
收藏
页码:1019 / 1020
页数:2
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