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Resource Allocation over Grid Computing Military Networks

Authors: BISIO, IGOR; MARCHESE, MARIO; M. MONGELLI; A. RAVIOLA;

Resource Allocation over Grid Computing Military Networks

Abstract

In the GRID environment investigated in this work, each node of the network can be either a terminal host or a web cache location. Objects, which can represent either a file or any other resource to be shared, are downloaded throughout the network among the nodes. For memory saving and for safety reasons, each object is composed of a number of portions and not all the portions are located within the same node, because no node should have the complete knowledge of each object. It is strongly recommendable because if a single node should be either accessed without authorization, information retrieved is not sufficient to detect the overall content. Concerning networking viewpoint, the following main issues will characterize the performance of object exchange: Position of the information, Strategy to reach the information, Algorithm to download information, Capacity Planning. The paper proposes a control architecture that considers the mentioned issues. The problem is modeled through a mathematical formulation and a specific cost function, which takes into account all the necessary details, is introduced for each controller as well as a minimization procedure. A preliminary performance evaluation analyses the effect of the Local Controller.

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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!
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Average
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