A Survey of Mobile Computation Offloading: Applications, Approaches and Challenges

Sandeep Kumar, Manan Tyagi, Abhirup Khanna, Vivudh Fore
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引用次数: 9

Abstract

The widespread acceptability of mobile devices in present times have led to the rise of applications which are progressively more affluent in terms of functionalities they offer to mobile users. Such applications might be very popular among users but their implementation may result in squandering many of the device end resources. Mobile Cloud Computing (MCC) has a solution to this problem by means of Mobile Computation Offloading. MCO, as it is commonly addressed offloads selective parts of an application to the cloud. At a glance, one might find computation offloading very promising when it comes to conserving device end resources but eventually, it may turn out to be the other way round if performed in a static manner. Recurrent modifications in device end resources and computing environment variables might cause a decline in the efficiency of offloading mechanisms and even result in tumbling quality of service for applications dealing with real-time information. Issues such as security and privacy still continue to possess a challenge towards current offloading mechanisms. In this work of ours, we present a critical analysis of various offloading techniques and mechanisms based upon parameters of performance augmentation, energy conservation and security and privacy aspects.
移动计算卸载综述:应用、方法和挑战
在当今时代,移动设备的广泛接受性导致了应用程序的兴起,这些应用程序在提供给移动用户的功能方面逐渐变得更加丰富。这样的应用程序可能在用户中非常流行,但它们的实现可能会导致浪费许多设备端资源。移动云计算(MCC)通过移动计算卸载解决了这一问题。MCO通常会将应用程序的某些部分卸载到云上。乍一看,当涉及到节省设备端资源时,人们可能会发现计算卸载非常有前途,但最终,如果以静态方式执行,可能会出现相反的情况。设备端资源和计算环境变量的反复修改可能会导致卸载机制的效率下降,甚至导致处理实时信息的应用程序的服务质量下降。安全和隐私等问题仍然是当前卸载机制面临的挑战。在我们的这项工作中,我们根据性能增强、节能和安全和隐私方面的参数,对各种卸载技术和机制进行了批判性分析。
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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