Investigating decision support techniques for automating Cloud service selection

Investigating decision support techniques for automating Cloud service selection

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 thes...

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Bibliographic Details
Published in:4th IEEE International Conference on Cloud Computing Technology and Science Proceedings pp. 759 - 764
Main Authors: Zhang, M., Ranjan, R., Haller, A., Georgakopoulos, D., Strazdins, P.
Format: Conference Proceeding
Language:English
Published: IEEE 01-12-2012
Subjects:
Cloud computing
Conferences
Genetic algorithms
operation research
Optimization
Quality of service
semantic technology
Semantics
service computing
Software as a service
Online Access:Get full text
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Summary: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). The outcomes of this will be decision support tools and techniques, which will automate and map users' specified application requirements to Cloud service configurations.
ISBN:9781467345118
1467345113
DOI:10.1109/CloudCom.2012.6427501