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
Link To Document :
بازگشت