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Efficient offloading schemes using Markovian models: a literature review
Computing ( IF 3.7 ) Pub Date : 2020-05-10 , DOI: 10.1007/s00607-020-00812-x
Mohammad Masdari , Hemn Khezri

The increasing demand for new mobile applications puts a heavy demand for more processing power and resources in smart mobile devices (SMD). Offloading is a promising solution for these issues which tries to move data, code, or computation from the SMDs to the remote or nearby resourceful servers. To increase the effectiveness of the offloading process and make better decisions, various stochastic offloading schemes are proposed in the literature which has adapted different stochastic models. Although offloading issues are vastly studied in the literature, there is a lack of comprehensive paper to focus on stochastic offloading solutions. This paper presents a meticulous review and classification of the stochastic offloading frameworks designed for different environments such as mobile cloud computing, mobile edge computing), and Fog computing. Following this, it first presents the required background concepts and key issues regarding the offloading problem and stochastic models. It then puts forward a taxonomy of the stochastic offloading approaches according to their applied stochastic models and highlights their architectures and contributions. In addition, in each category, a comparison of the stochastic offloading schemes is provided to illuminate their features. Finally, the concluding remarks and open research areas.

中文翻译:

使用马尔可夫模型的高效卸载方案:文献综述

对新移动应用不断增长的需求对智能移动设备 (SMD) 的处理能力和资源提出了更高的要求。对于这些问题,卸载是一种很有前景的解决方案,它试图将数据、代码或计算从 SMD 移动到远程或附近的资源丰富的服务器。为了提高卸载过程的有效性并做出更好的决策,文献中提出了各种随机卸载方案,这些方案采用了不同的随机模型。尽管文献中对卸载问题进行了大量研究,但缺乏专注于随机卸载解决方案的综合论文。本文详细介绍了为不同环境设计的随机卸载框架,如移动云计算、移动边缘计算和雾计算。在此之后,它首先介绍了有关卸载问题和随机模型所需的背景概念和关键问题。然后根据随机卸载方法的应用随机模型提出了随机卸载方法的分类,并突出了它们的架构和贡献。此外,在每个类别中,还提供了随机卸载方案的比较以阐明其特征。最后,结束语和开放的研究领域。提供了随机卸载方案的比较以阐明它们的特征。最后,结束语和开放的研究领域。提供了随机卸载方案的比较以阐明它们的特征。最后,结束语和开放的研究领域。
更新日期:2020-05-10
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