• DocumentCode
    3225453
  • Title

    Joint allocation of computation and communication resources in multiuser mobile cloud computing

  • Author

    Barbarossa, S. ; Sardellitti, S. ; Di Lorenzo, Paolo

  • Author_Institution
    Dept. of Inf. Eng., Electron. & Telecommun., Sapienza Univ. of Rome, Rome, Italy
  • fYear
    2013
  • fDate
    16-19 June 2013
  • Firstpage
    26
  • Lastpage
    30
  • Abstract
    Mobile cloud computing is offering a very powerful storage and computational facility to enhance the capabilities of resource-constrained mobile handsets. However, full exploitation of the cloud computing capabilities can be achieved only if the allocation of radio and computational capabilities is performed jointly. In this paper, we propose a method to jointly optimize the transmit power, the number of bits per symbol and the CPU cycles assigned to each application in order to minimize the power consumption at the mobile side, under an average latency constraint dictated by the application requirements. We consider the case of a set of mobile handsets served by a single cloud and we show that the optimization leads to a one-to-one relationship between the transmit power and the percentage of CPU cycles assigned to each user. Based on our optimization, we propose then a computation scheduling technique and verify the stability of the computations queue. Then we show how these queues are affected by the degrees of freedom of the channels between mobile handsets and server.
  • Keywords
    cloud computing; mobile computing; mobile handsets; multi-access systems; multiprocessing systems; optimisation; queueing theory; radiofrequency power transmission; resource allocation; CPU cycles; communication resources; computation queue; computation resources; computation scheduling technique; computational capabilities; computational facility; latency constraint; mobile cloud computing; mobile server; power consumption; power transmission; resource-constrained mobile handsets; Cloud computing; Mobile communication; Mobile handsets; Optimization; Resource management; Servers; Wireless communication; Mobile cloud computing; computation scheduling; radio resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications (SPAWC), 2013 IEEE 14th Workshop on
  • Conference_Location
    Darmstadt
  • ISSN
    1948-3244
  • Type

    conf

  • DOI
    10.1109/SPAWC.2013.6612005
  • Filename
    6612005