Investigating decision support techniques for automating Cloud service selection

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Conference object , Other literature type 01 Dec 2012Embargo end date: 01 Jan 2012Publisher:IEEEJournal:4th IEEE International Conference on Cloud Computing Technology and Science Proceedings

Authors: Miranda Zhang; Rajiv Ranjan 0001; Armin Haller; Dimitrios Georgakopoulos 0001; Peter Strazdins;

doi: 10.1109/cloudcom.2012.6427501 , 10.48550/arxiv.1210.3077

arXiv: 1210.3077

Investigating decision support techniques for automating Cloud service selection

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Abstract

The compass of Cloud infrastructure services advances steadily leaving users in the agony of choice. To be able to select the best mix of service offering from an abundance of possibilities, users must consider complex dependencies and heterogeneous sets of criteria. Therefore, we present a PhD thesis proposal on investigating an intelligent decision support system for selecting Cloud based infrastructure services (e.g. storage, network, CPU).

Accepted by IEEE Cloudcom 2012 - PhD consortium track

Related Organizations

Commonwealth Scientific and Industrial Research Organisation
Australia

Keywords

FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC)

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