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首页> 外文期刊>Simulation modelling practice and theory: International journal of the Federation of European Simulation Societies >Mobile storage augmentation in mobile cloud computing: Taxonomy, approaches, and open issues
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Mobile storage augmentation in mobile cloud computing: Taxonomy, approaches, and open issues

机译:移动云计算中的移动存储增强:分类法,方法和未解决的问题

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摘要

Worldwide employment of mobile devices in various critical domains, particularly healthcare, disaster recovery, and education has revolutionized data generation rate. However, rapidly rising data volume intensifies data storage and battery limitations of mobile devices. Mobile Cloud Computing (MCC) as the state-of-the-art mobile computing aims to augment mobile storage by leveraging infinite cloud resources to provide unlimited storage capabilities with energy-dissipation prevention. Researchers have already surveyed varied MCC aspects and its challenges, but successful futuristic Mobile Storage Augmentation (MSA) approaches demand deep insight into the current storage augmentation solutions that highlights critical challenges, which are lacking. This paper thoroughly investigates.the main MSA issues in three doniains of mobile computing, cloud computing, and MCC to present a taxonomy. Also, it examines several credible MSA approaches and mechanisms in MCC, classifies characteristics of cloud-based storage resources, and presents open issues that direct future research. (C) 2014 Elsevier B.V. All rights reserved.
机译:移动设备在各个关键领域的全球使用,特别是在医疗保健,灾难恢复和教育领域,已经彻底改变了数据生成速率。但是,快速增长的数据量加剧了移动设备的数据存储和电池限制。作为最先进的移动计算技术,移动云计算(MCC)旨在通过利用无限的云资源来提供无限的存储功能并防止能耗,从而扩展移动存储。研究人员已经对MCC的各个方面及其挑战进行了调查,但是成功的未来派移动存储增强(MSA)方法需要对当前的存储增强解决方案有深入的了解,这些解决方案凸显了目前所面临的关键挑战。本文深入研究了移动计算,云计算和MCC的三个领域中的主要MSA问题,以提出分类法。此外,它研究了MCC中几种可靠的MSA方法和机制,对基于云的存储资源的特征进行了分类,并提出了指导未来研究的开放问题。 (C)2014 Elsevier B.V.保留所有权利。

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