Modeling multi-factor multi-site risk-based offloading for mobile cloud computing

Huijun Wu, Dijiang Huang
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引用次数: 25

Abstract

Offloading decisions for computation-intensive applications in mobile cloud computing may involve many decision factors. Important decision factors such as offloading node reliability and privacy protection have not been well studied. Moreover, existing offloading models mainly focus on the one-to-one offloading relation. To address the multi-factor and multi-site offloading mobile cloud application scenarios, we present a multifactor multi-site risk-based offloading model that abstracts the offloading impact factors as for offloading benefit and offloading risk. The offloading decision is made based on a comprehensive offloading risk evaluation. This presented model is generic and extendible. Four offloading impact factors are presented to show the construction and operation of the presented offloading model, which can be easily extended to incorporate more factors to make offloading decision more comprehensive. The overall offloading benefits and risks are aggregated based on the mobile cloud users' preference. The performance evaluation presents the practicality of the presented solution.
基于多因素多站点风险的移动云计算卸载建模
移动云计算中计算密集型应用程序的卸载决策可能涉及许多决策因素。卸载节点可靠性和隐私保护等重要决策因素尚未得到很好的研究。此外,现有的卸载模型主要关注的是一对一的卸载关系。针对多因素、多站点卸载的移动云应用场景,提出了基于多因素、多站点风险的卸载模型,将卸载影响因素抽象为卸载效益和卸载风险。卸载决策是在综合评估卸载风险的基础上做出的。该模型具有通用性和可扩展性。给出了4个卸载影响因子,说明了所提出的卸载模型的构建和运行情况,该模型易于扩展,可以纳入更多的影响因子,使卸载决策更加全面。总体卸载收益和风险是基于移动云用户的偏好进行汇总的。性能评估表明了该方案的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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