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Erschienen in:
Toward a Framework for Implementing and Analyzing Meta-strategies on Simultaneous Negotiations Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Adjustable Fuzzy Inference for Adaptive Grid Resource Negotiation

verfasst von : Valeriia Haberland, Simon Miles, Michael Luck

Erschienen in: Next Frontier in Agent-Based Complex Automated Negotiation

Verlag: Springer Japan

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Abstract

Grids are dynamic, with the resource availability fluctuating over time, and at different rates at each instant. To obtain the resources for tasks execution, each client may negotiate with a resource allocator. If demand on resources is higher than their availability, resources can be exhausted. Therefore, a client needs to anticipate the resource availability in future, but its accurate estimation may not be possible because of the lack or inaccessibility of this information. However, through observing the information conveyed by the resource allocator in negotiation, a client can make estimates as to the speed and direction of the change in availability. In this paper, we describe an adaptive negotiation strategy that allows a client to adjust its tactics to the tendency in resource availability changes during negotiation through a fuzzy control mechanism. Results show that our negotiation strategy can allow a client to successfully obtain more resources.

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Vorheriges Kapitel RETRACTED CHAPTER: A Negotiation Method for Task Allocation with Time Constraints in Open Grid Environments
Nächstes Kapitel Automated Negotiations Based on Monotonic Tree Representations
Fußnoten
1
Performance may include a workload of processors in the system, the available RAM, throughput, etc.
 
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Metadaten
Titel
Adjustable Fuzzy Inference for Adaptive Grid Resource Negotiation
verfasst von
Valeriia Haberland
Simon Miles
Michael Luck
Copyright-Jahr
2015
Verlag
Springer Japan
Buch
Next Frontier in Agent-Based Complex Automated Negotiation

Print ISBN: 978-4-431-55524-7

Electronic ISBN: 978-4-431-55525-4

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-4-431-55525-4_3

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