Literature Survey of Computation Offloading for Mobile Applications in Mobile Edge Computation

Nikhil Khera, Krishna Sarthak Tiwari, Vaibhav Tripathi, G. S. Vinit, Nagaraja J
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Abstract

Despite their progress and improvements, mobile devices are still regarded as restricted computer devices. Users are growing more discerning, expecting to be able to run computationally intensive applications on their smartphones or tablets. As a result, Mobile Cloud Computing (MCC) integrates mobile computing and Cloud Computing in order to use offloading techniques to increase the capabilities of mobile devices. Although offloading programmes to the cloud might improve mobile device performance, it can also increase processing delay. Inevitably, the quality of user service (QoS) suffers as a result, particularly for specific applications (especially workflow applications). To address the problem of network latency, a new paradigm known as mobile edge computing (MEC) has been developed, which may be thought of as a subset of MCC. We also see deployment of Cloudlets, which are a form of edge server, to minimize latency and energy usage by offloading applications to the cloud, resulting in an efficient and cost-effective architecture as well as various decision-making techniques for offloading. And so, a literature survey regarding this will be presented which focuses on various methods of offloading and its decision-making techniques.
移动边缘计算中移动应用计算卸载的文献综述
尽管他们的进步和改进,移动设备仍然被认为是受限制的计算机设备。用户越来越挑剔,希望能够在他们的智能手机或平板电脑上运行计算密集型应用程序。因此,移动云计算(MCC)集成了移动计算和云计算,以便使用卸载技术来增加移动设备的功能。虽然将程序卸载到云端可能会提高移动设备的性能,但它也会增加处理延迟。不可避免地,用户服务质量(QoS)因此受到影响,特别是对于特定的应用程序(尤其是工作流应用程序)。为了解决网络延迟问题,已经开发了一种称为移动边缘计算(MEC)的新范式,它可以被认为是MCC的一个子集。我们还看到了Cloudlets的部署,它是边缘服务器的一种形式,通过将应用程序卸载到云来最小化延迟和能源使用,从而产生高效且经济的体系结构以及各种卸载决策技术。因此,关于这方面的文献调查将提出,重点是各种卸载方法及其决策技术。
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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