Investigating Decision Support Techniques for Automating Cloud Service Selection

被引：0
|
作者：
Zhang, Miranda
Ranjan, Rajiv
Haller, Armin
Georgakopoulos, Dimitrios
Strazdins, Peter
机构：
来源：
2012 IEEE 4TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM) | 2012年
关键词：
Cloud computing; service computing; operation research; semantic technology;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
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页数：6
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