A Multi-criteria Based Double Auctioning Mechanism with Undesignated Resources Constraints in Cloud

Noopur Rathore, K. Suthar, Jayesh Mevada
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Abstract

Now a day’s double auctioning mechanism considered to be effective mechanism which is based on the fundamental of many to many negotiations. In this mechanism the seller and buyer both provides their ask and needs respectively and the Auctioning mechanism are used to match this for effective allotment. If there is no any constraint available with the algorithm than it works fine but when some criteria like budget from seller or buyer, execution time, location, Past history, Feedback Etc. are involved than this allotment become very difficult. Besides this some issue may arise when even the auctioning algorithm failed to allocated all the available resources due to unhandled criteria. This is called undesignated resources constraint issue. So here we not only aim to design a multi-criteria based effective Double auctioning mechanism which efficiently increases the allotment but also consider to handle the issue of unallocated resources.
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云环境中基于多准则的非指定资源约束双拍卖机制
目前,以多对多协商为基础的单日双拍卖机制被认为是一种行之有效的机制。在这种机制中,卖方和买方分别提出他们的要求和需求,拍卖机制用于匹配这一有效分配。如果算法没有任何约束,那么它就会工作得很好,但当涉及到卖方或买方的预算、执行时间、地点、过去的历史、反馈等条件时,这种分配就会变得非常困难。此外,由于未处理的标准,甚至拍卖算法也不能分配所有可用资源,这可能会产生一些问题。这被称为未指定资源约束问题。因此,本文不仅旨在设计一种基于多准则的有效的双拍卖机制,以有效地增加分配,而且还考虑处理未分配资源的问题。
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