Cloud service-aware location update in mobile cloud computing

被引:10
|
作者
Qi, Qi [1 ,2 ]
Liao, Jianxin [1 ,2 ]
Cao, Yufei [2 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[2] EBUPT Informat Technol Co Ltd, Beijing 100191, Peoples R China
关键词
cloud computing; mobile computing; mobility management (mobile radio); telecommunication power management; telecommunication signalling; energy conservation; power consumption; cloud service-aware location update; mobile cloud computing; mobile devices; cloud computing services; mobile environment; battery life; handoff signalling; location update times reduction; service-aware location update management; mobile device location; mobile device presence; mobility management; energy consumption; mobility performance; AREA;
D O I
10.1049/iet-com.2013.1142
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Mobile devices are becoming the primary platforms for many users who always roam around when accessing the cloud computing services. From this, the cloud computing is integrated into the mobile environment by introducing a new paradigm, mobile cloud computing. In the context of mobile computing, the battery life of mobile device is limited, and it is important to balance the mobility performance and energy consumption. Fortunately, cloud services provide both opportunities and challenges for mobility management. Taking the activities of cloud services accessing into consideration, the authors propose a service-aware location update mechanism, which can detect the presence and location of the mobile device without traditional periodic registration update. Analytic model and simulation are developed to investigate the new mechanism. The results demonstrate that the service-aware location update management can reduce the location update times and handoff signalling, which can efficiently save power consumption for mobile devices.
引用
收藏
页码:1417 / 1424
页数:8
相关论文
共 50 条
  • [1] Service-Aware Cloud-to-Cloud Migration of Multiple Virtual Machines
    Narantuya, Jargalsaikhan
    Zang, Hannie
    Lim, Hyuk
    [J]. IEEE ACCESS, 2018, 6 : 76663 - 76672
  • [2] Context-Aware Cloud Service Selection Model for Mobile Cloud Computing Environments
    Wu, Xu
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2018,
  • [3] A power-aware middleware for location & context aware mobile apps with cloud computing interaction
    Perez-Torres, Rafael
    Torres-Huitzil, Cesar
    [J]. PROCEEDINGS OF THE 2012 WORLD CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGIES, 2012, : 691 - 696
  • [4] A local cloud service providing model in mobile cloud computing
    Liu, Xing
    Yuan, Chaowei
    Yang, Zhen
    Hu, Zhongwei
    Li, Zhenjun
    Zhang, Zengping
    [J]. Liu, X. (buptliuxing@gmail.com), 1600, Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States (09): : 9131 - 9138
  • [5] Context Aware Mobile Cloud Computing: Review
    Gupta, Neha
    Agarwal, Amit
    [J]. 2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2015, : 1061 - 1065
  • [6] GRSA: Service-Aware Flow Scheduling for Cloud Storage Datacenter Networks
    Wenlong Ke
    Yong Wang
    Miao Ye
    [J]. China Communications, 2020, 17 (06) : 164 - 179
  • [7] Cost and energy aware service provisioning for mobile client in cloud computing environment
    Li Chunlin
    Li LaYuan
    [J]. JOURNAL OF SUPERCOMPUTING, 2015, 71 (04): : 1196 - 1223
  • [8] MuSIC: Mobility-Aware Optimal Service Allocation in Mobile Cloud Computing
    Rahimi, M. Reza
    Venkatasubramanian, Nalini
    Vasilakos, Athanasios V.
    [J]. 2013 IEEE SIXTH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD 2013), 2013, : 75 - 82
  • [9] GRSA: Service-Aware Flow Scheduling for Cloud Storage Datacenter Networks
    Ke, Wenlong
    Wang, Yong
    Ye, Miao
    [J]. CHINA COMMUNICATIONS, 2020, 17 (06) : 164 - 179
  • [10] A Context-Aware Architecture Supporting Service Availability in Mobile Cloud Computing
    Guerrero-Contreras, Gabriel
    Luis Garrido, Jose
    Balderas-Diaz, Sara
    Rodriguez-Dominguez, Carlos
    [J]. IEEE TRANSACTIONS ON SERVICES COMPUTING, 2017, 10 (06) : 956 - 968