Abstract
The aim of this article is to introduce a novel auction-based algorithm for grid computing wireless networks and resolve some incompetence with dynamic mechanisms. We develop a reverse online auction method to allocate grid resources, where the grid resource providers arrive dynamically and user broker has to make a multi-attribute decision whether to sell tasks or not before the end of current round. In our approach, a trade-some-with-forecast algorithm is proposed to help the user broker to utilize his forecast ability to allocate the grid resource in an online setting. Furthermore, two reverse online auction-based protocols are presented to demonstrate the resource scheduling in grid computing wireless networks. Experiments show that the reverse online auction-based with forecast protocol has better performance in comparison with the reverse online auction-based protocol. It is efficient in terms of auction stages, user satisfaction, and successful forecast.
Highlights
Grid computing wireless networks have already been seen as an ultimate important computing platform for solving large-scale problems in the fields of science and engineering
We propose a reverse online auction method for grid resource scheduling
We develop the multi-attribute bids for the grid resource providers (GRPs) to overcome the shortcoming of only-price bidding
Summary
Grid computing wireless networks have already been seen as an ultimate important computing platform for solving large-scale problems in the fields of science and engineering. The grid environment is highly dynamic and uncontrollable, where resources are distributed across different administrative domains.[3] the traditional auction protocols in grid computing networks ignore these complex and dynamic factors It is necessary for GRPs, UB, and GRUs to adjust their winner determining and bidding behaviors dynamically according to the more realistically trading market situation. According to complex and dynamic characters in grid computing networks, we propose a reverse auction-based allocation mechanism, that is, reverse online auction-based with forecast (ROAWF) protocol, targeting on the effective grid resource allocation It is based on a reverse online auction where the different GRPs arrive at different times and the GRUs or UB are required to make decisions about each bid as it is received. In section ‘‘Simulation and evaluation,’’ these two proposed protocols are extensively evaluated by experimental studies, and section ‘‘Conclusion’’ concludes this work
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