کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
425621 685789 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A hybrid model for cloud providers and consumers to agree on QoS of cloud services
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
A hybrid model for cloud providers and consumers to agree on QoS of cloud services
چکیده انگلیسی


• This research has proposed a new negotiation mechanism to deal with the Cloud Computing Market.
• The negotiation mechanism can efficiently and effectively identify a possible agreement in a large and complex search space.
• A case study is adopted to evaluate and demonstrate the proposed mechanism.

This paper describes a new agenda based approach which facilitates multi-issue negotiation process between service consumer and service provider over the quality of service (QoS) requirements in cloud services. We assume that the order of agenda (issues) has impact on the negotiation outcome, but a group of service consumers and providers may have conflicting preferences over the importance of issues. In a multiple-issue negotiation process it is difficult to reach an optimal outcome when their preferences and the relative importance of their associated issues are not known to each other. The proposed agenda based preference ordering approach helps consumers and providers to reach a consensus over the issues and to construct a common preference sequence to improve the efficiency of the issue-by-issue negotiation outcome. Consequently, a co-evolutionary negotiation model based on the result of preference ordering approach is introduced for the agents to negotiate and reach an agreement, if there is any. The contribution of the research is a new mechanism that is able to formulate issue sequence along with a co-evolutionary negotiation approach that can effectively facilitate negotiation over QoS issues in cloud computing. Finally, a case study is provided to illustrate the proposed approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 50, September 2015, Pages 38–48
نویسندگان
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