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A taxonomy of market‐based resource management systems for utility‐driven cluster computing
Author(s) -
Yeo Chee Shin,
Buyya Rajkumar
Publication year - 2006
Publication title -
software: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 70
eISSN - 1097-024X
pISSN - 0038-0644
DOI - 10.1002/spe.725
Subject(s) - computer science , taxonomy (biology) , grid computing , grid , cluster (spacecraft) , resource (disambiguation) , computer cluster , service (business) , utility computing , limited resources , data science , distributed computing , operations research , business , risk analysis (engineering) , engineering , marketing , cloud computing , operating system , computer network , ecology , geometry , mathematics , biology , cloud computing security
In utility‐driven cluster computing, cluster Resource Management Systems (RMSs) need to know the specific needs of different users in order to allocate resources according to their needs. This in turn is vital to achieve service‐oriented Grid computing that harnesses resources distributed worldwide based on users' objectives. Recently, numerous market‐based RMSs have been proposed to make use of real‐world market concepts and behavior to assign resources to users for various computing platforms. The aim of this paper is to develop a taxonomy that characterizes and classifies how market‐based RMSs can support utility‐driven cluster computing in practice. The taxonomy is then mapped to existing market‐based RMSs designed for both cluster and other computing platforms to survey current research developments and identify outstanding issues. Copyright © 2006 John Wiley & Sons, Ltd.