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Convergence of user and service provider perspectives in mobile cloud computing environment: Taxonomy and challenges

机译:移动云计算环境中的用户和服务提供商视角的融合:分类和挑战

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Mobile cloud computing (MCC) has been introduced with the intuition to ascertain the computing requirements of resource constraint smart mobile devices (SMDs). Meanwhile, the research community has put forward a wide variety of solutions by independently considering the operational issues of cloud service user (CSU) side (e.g., when to offload) and cloud service provider (CSP) side (e.g., where to deploy the cloud data centers). As the MCC will evolve, the decision regarding the adoption of a solution at one end would likely rely on the features supported or required from the other side; for example, a CSU might decide to offload the execution of delay-sensitive applications only if the CSP deploys the cloud data centers in his/her proximity. The identification and convergence of such dependencies are vital for flourishing the MCC. However, a cognitive representation of CSU and CSP side research proposals can only aid in the identification of such dependencies. In this paper, we develop a thematic taxonomy of the current CSU side as well as CSP side frameworks. Further, we review the current CSU side and CSP side frameworks by using the thematic taxonomy and analyze the implications as well as critical aspects of proposed solutions. We also outline the potential dependencies between the solutions of both sides. These dependencies are derived on the basis of elicited taxonomy. Finally, we put forward open research challenges that demand future efforts for the seamless integration of CSU side perspectives and CSP side perspectives.
机译:介绍了移动云计算(MCC),以确定资源约束智能移动设备(SMD)的计算要求。同时,研究界通过独立考虑云服务用户(CSU)侧的操作问题(例如,何时卸载)和云服务提供商(CSP)侧(例如,在哪里部署云)而提出了各种各样的解决方案数据中心)。随着MCC的发展,关于在一端采用解决方案的决定可能依赖于另一边支持或所需的功能;例如,如果CSP在他/她的接近地部署云数据中心,则CSU可能决定才能卸载延迟敏感应用程序的执行。这种依赖性的识别和融合对于繁荣MCC至关重要。然而,CSU和CSP侧研究建议的认知表示只能有助于识别这些依赖性。在本文中,我们开发了当前CSU侧的主题分类,以及CSP侧框架。此外,我们通过使用主题分类法并分析了提出的解决方案的影响以及分析了暗示解决方案的关键方面的目前的CSU侧和CSP侧框架。我们还概述了双方解决方案之间的潜在依赖关系。这些依赖性基于引发的分类法来得出。最后,我们提出了开放的研究挑战,要求未来的CSU侧视图和CSP侧观点的无缝集成努力。

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