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https://doi.org/10.1007/117456...
Part of book or chapter of book . 2006 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Negotiation Strategies for Grid Scheduling

Authors: Jiadao Li; Ramin Yahyapour;

Negotiation Strategies for Grid Scheduling

Abstract

Grid computing is considered the next step of distributed computing architectures. For such Service Oriented Architectures (SOAs) resource management is an important component that has to cope with the challenges of heterogeneous, decentralized and autonomous resources. The use of agreements is expected to become a key technology for the reliable interaction between resource providers and consumers. Negotiation is the process of creating agreements in which the different and typically conflicting objectives of the negotiation parties are taken into account. For the broad proliferation of Grids and the efficient use of Grids, this negotiation process must be automated and should only require minimal interaction from the actual providers and users. To this end, strategic negotiation models are required that can be used to perform this task. In this paper, a strategic negotiation model is proposed for Grid computing. Discrete event based simulation is used to evaluate this model. The simulation results demonstrate that it is suitable and effective for Grid environments.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Top 10%
Green