关于处理移动卸载方案的程序的调查

Q4 Business, Management and Accounting
Natarajan Palaniappan, S. Ramasamy
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引用次数: 2

摘要

利用更少的能量和存储功率的移动设备是一个主要的研究领域。解决这一问题的技术之一是移动卸载方案。从能量、吞吐量、延迟、安全性和应用程序在虚拟机上的部署等参数出发,对各种移动卸载机制进行了开发和分析。因此,卸载机制证明了云上的移动应用可以通过移动应用的分区和迁移为移动用户节省能源。本文对包括POMAC、cloudlet和软件定义网络(sdn)在内的各种移动卸载技术方案进行了详细的调查。该调查涉及移动卸载方案的各种程序,这些程序具有相似之处,如能源和成本优化、动态卸载和VM迁移。这项调查和分析表明,移动卸载技术中的云部分需要更多的关注,以平衡虚拟机和动态迁移应用程序,以实现能源和成本优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A survey on procedures dealing with mobile offloading schemes
Utilising mobile facilities with less energy and memory power is a major spotted research area. One of the techniques which resolve the problem is mobile offloading scheme. Various mobile offloading mechanisms are developed and analysed with the parameters energy, throughput, latency, security and deployment of application on virtual machines (VMs). Thus, the offloading mechanisms proved that mobile applications on cloud can save energy for mobile users through partition and migration of mobile applications. This paper has done detailed survey on various schemes of mobile offloading techniques that includes POMAC, cloudlet, and software defined networks (SDNs). The survey has been done on various procedures involved in mobile offloading schemes with the common similarities such as energy and cost optimisation, dynamic offloading and VM migration. This survey and analysis show that the cloud part in mobile offloading techniques need more attention for balancing the VMs and migration of applications dynamically towards energy and cost optimisation.
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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