移动云计算研究进展与趋势

发布时间：2018-06-08 19:11

本文选题：移动云计算 + 计算迁移　；参考：《计算机学报》2017年02期

【摘要】：随着移动互联网的飞速发展,移动终端的应用已经渗透到人们工作生活的方方面面.为了满足日益复杂的移动应用对移动终端的电池容量、计算能力、存储容量以及安全性提出的更高要求,移动云计算作为移动互联网和云计算结合的产物,近年来得到了快速发展,也催生出了众多新的信息服务和应用模式,得到了学术界和工业界的广泛关注.移动云计算继承了云计算的应用动态部署、资源可扩展、多用户共享以及多服务整合等优势,为解决移动终端资源受限问题提供了一种有效方式,但在用户动态移动、终端电量有限、非法访问及隐私泄漏等安全威胁日益严重的情况下,仍然面临诸多研究挑战.文中围绕这些挑战,介绍了计算迁移、基于移动云的位置服务、移动终端节能、数据安全与隐私保护等移动云计算技术的研究现状,进一步对移动云存储、微云、群智服务和移动云游戏等移动云计算的典型应用进行了深入分析,并从移动云计算功能增强、服务质量保障和安全可用性等3个方面,展望了移动云计算未来的发展趋势和研究方向.
[Abstract]:With the rapid development of mobile Internet, the application of mobile terminal has penetrated into all aspects of people's work and life. In order to meet the higher requirements for battery capacity, computing power, storage capacity and security of mobile terminals, mobile cloud computing is the product of the combination of mobile Internet and cloud computing. In recent years, many new information services and application models have been developed, which have been paid more and more attention by academia and industry. Mobile cloud computing inherits the advantages of dynamic deployment of cloud computing, extensible resources, multi-user sharing and multi-service integration. It provides an effective way to solve the problem of resource limitation of mobile terminals, but mobile users move dynamically. Under the condition of limited terminal power, illegal access and privacy leakage and other security threats, there are still many research challenges. Around these challenges, this paper introduces the research status of mobile cloud computing technology, such as computing migration, location services based on mobile cloud, mobile terminal energy saving, data security and privacy protection, etc. The typical mobile cloud computing applications, such as group intelligence services and mobile cloud games, are analyzed in depth, and from three aspects of mobile cloud computing function enhancement, quality of service assurance and security availability, The development trend and research direction of mobile cloud computing in the future are prospected.
【作者单位】：清华大学计算机科学与技术系;解放军信息工程大学;
【基金】：国家自然科学基金优秀青年科学基金项目(61422206);国家自然科学基金重大国际合作项目(61120106008) 国家电网公司科技项目(SGRIXTJSFW[2016]377)资助~~
【分类号】：TP393.09

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