ECAI 2014
Negotiation to Execute Continuous Long-Term Tasks
Abstract
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.
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Keywords
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Context
- Venue
- European Conference on Artificial Intelligence
- Archive span
- 1982-2025
- Indexed papers
- 5223
- Paper id
- 233613644318977677