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research
A heuristic approach for the allocation of resources in large-scale computing infrastructures
Authors
Alrawahi
Amazon
+38 more
Armbrust
Backhaus
Bapna
Brynjolfsson
Carr
Cripps
Dash
Davenport
Foster
Garey
Garg
Hey
Hooker
Lai
Lehmann
Lewis
Leyton-Brown
Leyton-Brown
M. Vaquero
Marshall
Milojičić
Mossmann
Neumann
Nissan
Nurmi
Pekeĉ
Pepple
Rardin
Reiss
Roberts
Schnizler
Shneidman
Siegle
Smidt
Sotomayor
Stösser
Stösser
Vries
Publication date
1 January 2015
Publisher
'Wiley'
Doi
Cite
Abstract
An increasing number of enterprise applications are intensive in their consumption of IT, but are infrequently used. Consequently, organizations either host an oversized IT infrastructure or they are incapable of realizing the benefits of new applications. A solution to the challenge is provided by the large-scale computing infrastructures of Clouds and Grids which allow resources to be shared. A major challenge is the development of mechanisms that allow efficient sharing of IT resources. Market mechanisms are promising, but there is a lack of research in scalable market mechanisms. We extend the Multi-Attribute Combinatorial Exchange mechanism with greedy heuristics to address the scalability challenge. The evaluation shows a trade-off between efficiency and scalability. There is no statistical evidence for an influence on the incentive properties of the market mechanism. This is an encouraging result as theory predicts heuristics to ruin the mechanism’s incentive properties. Copyright © 2015 John Wiley & Sons, Ltd
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