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Mobility-aware computational offloading in mobile edge networks: a survey
Cluster Computing ( IF 3.6 ) Pub Date : 2021-04-09 , DOI: 10.1007/s10586-021-03268-6
Sardar Khaliq uz Zaman , Ali Imran Jehangiri , Tahir Maqsood , Zulfiqar Ahmad , Arif Iqbal Umar , Junaid Shuja , Eisa Alanazi , Waleed Alasmary

Technological evolution of mobile devices, such as smart phones, laptops, wearable and other handheld devices have come up with the emergence of different user applications in learning, social networking, entertainment, and community computing domains. Many of such applications are fully or partially offloaded to the nearby server capable with high computing and storage resources. The delivery of task offloading results to the users is a challenge in those networks where the frequency of user mobility is high, leading to increased latency, higher energy consumption and inefficient resource utilization. In this paper, we survey the existing studies which optimize the task offloading in edge networks with mobility management. We formulate taxonomy of the research domain for classification of research works. We compare the listed state-of-the-art research works based on the components identified from taxonomy. Moreover, we debate future research directions for mobility, security, and scalability aware MEC offloading.



中文翻译:

移动边缘网络中具有移动意识的计算分流:一项调查

移动设备(例如智能电话,笔记本电脑,可穿戴设备和其他手持设备)的技术发展伴随着学习,社交网络,娱乐和社区计算领域中不同用户应用程序的出现。许多这样的应用程序全部或部分卸载到了具有高计算和存储资源的附近服务器上。在用户移动频率很高的那些网络中,将任务卸载结果传递给用户是一个挑战,从而导致延迟增加,能耗增加和资源利用效率低下。在本文中,我们调查了现有的研究,这些研究通过移动性管理优化了边缘网络中的任务卸载。我们制定研究领域的分类法,以对研究作品进行分类。我们根据分类学中确定的成分,对列出的最新研究成果进行比较。此外,我们还讨论了有关移动性,安全性和可伸缩性的MEC卸载的未来研究方向。

更新日期:2021-04-09
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