Authors: Wei Shen WanChun Dou Fan Wu Shaojie Tang Qiang Ni
Publish Date: 2016/11/09
Volume: 31, Issue: 6, Pages: 1110-1123
Abstract
Voluntary cloud is a new paradigm of cloud computing It provides an alternative selection along with some wellprovisioned clouds However for the uncertain time span that participants share their computing resources in voluntary cloud there are some challenging issues ie fluctuation undercapacity and lowbenefit In this paper an architecture is first proposed based on Bittorrent protocol In this architecture resources could be reserved or requested from Reserved Instance Marketplace and could be accessed with a lower price in a short circle Actually these resources could replenish the inadequate resource pool and relieve the fluctuation and undercapacity issue in voluntary cloud Then the fault rate of each node is used to evaluate the uncertainty of its sharing time By leveraging a linear prediction model it is enabled by a distribution function which is used for evaluating the computing capacity of the system Moreover the cost optimization problem is investigated and a computational method is presented to solve the lowbenefit issue in voluntary cloud At last the system performance is validated by two sets of simulations And the experimental results show the effectiveness of our computational method for resource reservation optimization
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