Query restart strategies for Web agents
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Probability and statistics with reliability, queuing and computer science applications
Probability and statistics with reliability, queuing and computer science applications
MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
Flexible service provisioning with advance agreements
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Fault tolerant mechanism design
Artificial Intelligence
Mechanisms for information elicitation
Artificial Intelligence
Scalable mechanism design for the procurement of services with uncertain durations
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Algorithms and mechanisms for procuring services with uncertain durations using redundancy
Artificial Intelligence
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Emerging service-oriented technologies allow software agents to automatically procure distributed services to complete complex tasks. However, in many application scenarios, service providers demand financial remuneration, execution times are uncertain and consumers have deadlines for their tasks. In this paper, we address these issues by developing a novel approach that dynamically procures multiple, redundant services over time, in order to ensure success by the deadline. Specifically, we first present an algorithm for finding optimal procurement solutions, as well as a heuristic algorithm that achieves over 99% of the optimal and is capable of handling thousands of providers. Using experiments, we show that these algorithms achieve an improvement of up to 130% over current strategies that procure only single services. Finally, we consider settings where service costs are not known to the consumer, and introduce several mechanisms that incentivise providers to reveal their costs truthfully and that still achieve up to 95% efficiency.