智能手机中基于云实例的高效文件管理系统

doi:10.11772/j.issn.1001-9081.2016.11.3050

计算机应用 ›› 2016, Vol. 36 ›› Issue (11): 3050-3054.DOI: 10.11772/j.issn.1001-9081.2016.11.3050

智能手机中基于云实例的高效文件管理系统

马俊峰¹, 王嫣²

1. 新乡医学院现代教育技术中心, 河南新乡 453003;
2. 郑州工程技术学院信息工程学院, 郑州 450044

收稿日期:2016-03-08 修回日期:2016-06-26 出版日期:2016-11-10 发布日期:2016-11-12
通讯作者: 马俊峰
作者简介:马俊峰(1979-),男,汉,河南新乡人,实验师,硕士,主要研究方向:云计算、移动互联与通信;王嫣(1977-),女,河南新乡人,副教授,硕士,主要研究方向:计算机网络与通信、信息安全。
基金资助:
河南省科技攻关计划项目（162102210326）。

Efficient file management system based on cloud instances in smartphone

MA Junfeng¹, WANG Yan²

1. Modern Educational Technology Center, Xinxiang Medical University, Xinxiang Henan 453003, China;
2. College of Information Engineering, Zhengzhou Institute of Technology, Zhengzhou Henan 450044, China

Received:2016-03-08 Revised:2016-06-26 Online:2016-11-10 Published:2016-11-12
Supported by:
This work is partially supported by the Henan Provincial Key Technology Research and Development Program (162102210326).

摘要/Abstract

摘要： 针对现有云存储技术应用到智能手机上导致其能量和带宽消耗较大这一不足，以Dropbox平台作为云服务提供商，设计了一种基于云实例的高效安全的文件管理系统（FM-CI）。FM-CI支持下载、压缩、加密和转换操作，同时支持在两个智能手机用户的云存储空间之间进行文件传输。此外，考虑到频繁开启云实例仍然可能增加用户的成本，还给出了用户空闲实例共享协议和基于共享实例的文件传输方案。仿真实验结果表明，FM-CI能在消耗较少时间和带宽的前提下，高效地完成文件操作，且性能要优于目前最新的云存储方案。

关键词: 云存储, 智能手机, 文件管理, 云实例, 能量, 带宽

Abstract: To overcome the disadvantage of high consumption of energy and bandwidth when the existing cloud storage technology which is applied to the smartphone, based on the Dropbox platform as a cloud service provider, an efficient and safe File Management system based on Cloud Instances (FM-CI) was designed. FM-CI supported download, compress, encrypt, convert operations, and file transfer between two smartphone users' cloud storage spaces. In addition, due to frequent open cloud instances may still increase the cost of the user, a protocol for users to share their idle instances and a file transfer scheme for sharing instance was designed. Simulation results show that, FM-CI can efficiently complete the file operations with less time and bandwidth, and the performance of FM-CI is better than those of the latest cloud storage schemes.

Key words: cloud storage, smartphone, file management, cloud instance, energy, bandwidth

中图分类号:

TP315

马俊峰, 王嫣. 智能手机中基于云实例的高效文件管理系统[J]. 计算机应用, 2016, 36(11): 3050-3054.

MA Junfeng, WANG Yan. Efficient file management system based on cloud instances in smartphone[J]. Journal of Computer Applications, 2016, 36(11): 3050-3054.

参考文献

[1] LIU S, JIANG Y, STRIEGEL A. Face-to-face proximity estimationusing bluetooth on smartphones[J]. IEEE Transactions on Mobile Computing, 2014, 13(4):811-823.
[2] CHU C K, CHOW S S M, TZENG W G, et al. Key-aggregate cryptosystem for scalable data sharing in cloud storage[J]. IEEE Transactions on Parallel and Distributed Systems, 2014, 25(2):468-477.
[3] FU Y, JIANG H, XIAO N, et al. Application-aware local-global source deduplication for cloud backup services of personal storage[J]. IEEE Transactions on Parallel and Distributed Systems, 2014, 25(5):1155-1165.
[4] YANG K, JIA X. Expressive, efficient, and revocable data access control for multi-authority cloud storage[J]. IEEE Transactions on Parallel and Distributed Systems, 2014, 25(7):1735-1744.
[5] NARULA S, JAIN A. Cloud computing security:Amazon Web service[C]//Proceedings of the 20155th International Conference on Advanced Computing & Communication Technologies. Piscataway, NJ:IEEE, 2015:501-505.
[6] 吴昊, 范九伦, 刘建华, 等. 基于指纹魔方算法的云存储数据保护机制[J]. 电信科学, 2014, 30(11):110-114.(WU H, FAN J L, LIU J H, et al. Cloud storage data protection mechanism based on a fingerprint cube algorithm[J]. Telecommunications Science, 2014, 30(11):110-114.)
[7] 郑凯, 朱林, 陈优广. 基于Kademlia的负载平衡云存储算法[J]. 计算机应用, 2015, 35(3):643-647.(ZHENG K, ZHU L, CHEN Y G. Load balancing cloud storage algorithm based on Kademlia[J]. Journal of Computer Applications, 2015, 35(3):643-647.)
[8] 林伟伟, 贺品嘉, 刘波. 云存储系统的能耗优化节点管理方法[J]. 华南理工大学学报(自然科学版), 2014, 42(1):104-110.(LIN W W, HE P J, LIU B. Management method of energy consumption optimization nodes in cloud storage system[J]. Journal of South China University of Technology (Natural Science Edition), 2014, 42(1):104-110.)
[9] KOSTA S, AUCINAS A, HUI P, et al. ThinkAir:dynamic resource allocation and parallel execution in the cloud for mobile code offloading[C]//Proceedings of the 31st Annual IEEE International Conference on Computer Communications. Piscataway, NJ:IEEE, 2012:945-953.
[10] SAARINEN A, SIEKKINEN M, XIAO Y, et al. SmartDiet:offloading popular apps to save energy[J]. ACM SIGCOMM Computer Communication Review, 2012, 42(4):297-298.
[11] BARBERA M V, KOSTA S, STEFA J, et al. CloudShield:efficient anti-malware smartphone patching with a P2P network on the cloud[C]//Proceedings of the 2012 IEEE 12th International Conference on Peer-to-Peer Computing. Piscataway, NJ:IEEE, 2012:50-56.
[12] DRAGO I, MELLIA M, MUNAFO M M, et al. Inside dropbox:understanding personal cloud storage services[C]//Proceedings of the 2012 ACM Conference on Internet Measurement Conference. New York:ACM, 2012:481-494.

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智能手机中基于云实例的高效文件管理系统

Efficient file management system based on cloud instances in smartphone

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