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Context-Aware Computation Offloading for Mobile Cloud Computing: Requirements Analysis, Survey and Design Guideline

机译:移动云计算的上下文感知计算分流:需求分析,调查和设计指南

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摘要

Along with the rise of mobile handheld devices the resource demands of respective applications grow as well. However, mobile devices are still and will always be limited related to performance (e.g., computation, storage and battery life), context adaptation (e.g., intermittent connectivity, scalability and heterogeneity) and security aspects. A prominent solution to overcome these limita- tions is the so-called computation offloading, which is the focus of mobile cloud computing (MCC). However, current approaches fail to address the complexity that results from quickly and constantly changing context conditions in mobile user scenarios and hence developing effective and efficient MCC applications is still challenging. Therefore, this paper first presents a list of re- quirements for MCC applications together with a survey and classification of current solutions. Furthermore, it provides a design guideline for the selection of suitable concepts for different classes of common cloud-augmented mobile applications. Finally, it presents open issues that developers and researchers should be aware of when designing their MCC-approach.
机译:随着移动手持设备的兴起,各个应用程序的资源需求也随之增长。然而,移动设备仍然并且将始终受限于性能(例如,计算,存储和电池寿命),上下文适应(例如,间歇性连接,可伸缩性和异构性)和安全性方面。克服这些限制的一个杰出解决方案是所谓的计算分流,这是移动云计算(MCC)的重点。但是,当前的方法无法解决由于移动用户场景中快速且不断变化的上下文条件而导致的复杂性,因此开发有效,高效的MCC应用程序仍然是一项挑战。因此,本文首先介绍了MCC应用的需求清单,以及对当前解决方案的调查和分类。此外,它为选择适合不同类别的通用云增强移动应用程序的合适概念提供了设计指南。最后,它提出了开发人员和研究人员在设计其MCC方法时应注意的未解决问题。

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