信息网络安全

信息网络安全 ›› 2016, Vol. 16 ›› Issue (10): 60-68.doi: 10.3969/j.issn.1671-1122.2016.10.010

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一种智能局部移动云资源分配机制的研究

刘金阳1, 王兴伟1,2(), 黄敏3   

  1. 1. 东北大学计算机科学与工程学院,辽宁沈阳110819
    2. 东北大学软件学院,辽宁沈阳110819
    3. 东北大学信息科学与工程学院, 辽宁沈阳 110819
  • 收稿日期:2016-07-18 出版日期:2016-10-31 发布日期:2020-05-13
  • 作者简介:

    作者简介： 刘金阳（1991—）,男,辽宁,硕士研究生,主要研究方向为移动云计算资源管理;王兴伟（1968—),男,辽宁,教授,博士,主要研究方向为未来互联网、移动无线网络、IP/DWDM光网络等;黄敏（1968—）,女,福建,教授,博士,主要研究方向为智能算法设计与优化、调度理论与方法等。

  • 基金资助:
    教育部高等学校博士学科点专项科研基金[20120042130003]

Research on an Intelligent Local Mobile Cloud Resource Allocation Mechanism

Jinyang LIU1, Xingwei WANG1,2(), Min HUANG3   

  1. 1. School of Computer Science and Engineering, Northeastern University, Shenyang Liaoning 110819, China
    2. School of Software, Northeastern University, Shenyang Liaoning 110819, China
    3. School of Information Science and Engineering, Northeastern University, Shenyang Liaoning 110819, China
  • Received:2016-07-18 Online:2016-10-31 Published:2020-05-13

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摘要：

为了突破智能移动设备性能的限制,研究人员设想将云计算服务扩展到移动设备,也就是常说的移动云计算技术。文章提出并设计了一种局部移动云资源分配机制,包括局部移动资源云的设计以及移动云资源分配机制。首先,将多个小型资源云部署在本地并互联一体,将其与本地移动通信网络直接相连,以增强移动云资源服务在延迟、带宽等方面的服务质量。然后,对移动云资源分配问题进行数学建模,提出并使用基于贪心法的人工鱼群移动云资源分配算法。最后,对移动云资源分配机制进行仿真实现,并对资源分配算法进行对比分析。结果表明,文章设计的局部移动云资源分配机制在为用户提供优质服务质量等方面具有很好的性能。

关键词: 移动云计算, 服务质量, 局部移动资源云, 移动云资源分配

Abstract:

To overcome the performance limitations of intelligent mobile devices, people try to expand cloud computing services to mobile devices, which is often said to be mobile cloud computing (MCC) technology. This paper proposes a local mobile cloud resource allocation mechanism which includes the design of local mobile resource clouds and mobile cloud resource allocation mechanism. Firstly, a plurality of small resource clouds are deployed locally and interconnected in a whole, which is directly connected with the local mobile communication network to improve the quality of services in respects of latency, bandwidth, etc. Then, a mathematical model is built to describe the local mobile cloud resource allocation problem, and the greedy-based artificial fish school mobile cloud resource allocation algorithm is proposed to solve the model. Finally, simulation experiments on mobile cloud resource allocation mechanism are performed and the resource allocation algorithms are compared and analyzed. The results show that the local mobile cloud resource allocation mechanism is very good for the users to provide good quality of service and so on.

Key words: mobile cloud computing, quality of service (QoS), local mobile resource cloud, mobile cloud resource allocation

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