DocumentCode
2678537
Title
Mobile to base task migration in wireless computing
Author
Gitzenis, Savvas ; Bambos, Nicholas
Author_Institution
Dept. of Electr. Eng., Stanford Univ., CA, USA
fYear
2004
fDate
14-17 March 2004
Firstpage
187
Lastpage
196
Abstract
We investigate the technique of the task migration from mobile terminals to computation servers over the wireless network. In the perceived architecture, the mobile terminals are assisted by the network infrastructure in the execution of their computational tasks. Thus, the terminal has two basic options (and combinations of them): A) local execution, that is execute the tasks locally, or B) remote execution, which involves (1) sending the tasks to a computation server over the wireless network, (2) executing the tasks at the server, and (3) downloading the computation results back to the terminal. The latter provides energy savings for the terminal (sparing its local processor) and execution speed gains (the server is usually much faster than the terminal), but incurs some overhead as well, resulting from the terminal / server wireless communication. The net gains, if any, are dependent on (i) the degree of the connectivity between the terminal and the network server, and (ii) the server load. Both these two parameters fluctuate with time; the former due to the varying network load and the volatile wireless channel, and the latter due to the sharing with other clients at the server. To decide optimally on the execution policy, we introduce a Markovian framework. We then study the associated energy vs. delay trade-offs, and assess the performance gains attained in various test cases compared to the conventional paradigms of the exclusively local/remote execution.
Keywords
Markov processes; client-server systems; mobile computing; network servers; radio networks; Markovian framework; computation servers; computational tasks; connectivity degree; energy savings; energy-delay trade-off; execution policy; execution speed gains; local execution; local processor; mobile terminals; mobile-base task migration; network infrastructure; network load; network server; performance gains; remote execution; server load; server wireless communication; test cases; wireless channel; wireless computing; wireless network; Batteries; Computer architecture; Computer networks; Delay; Mobile computing; Network servers; Personal digital assistants; Pervasive computing; Wireless communication; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Communications, 2004. PerCom 2004. Proceedings of the Second IEEE Annual Conference on
Print_ISBN
0-7695-2090-1
Type
conf
DOI
10.1109/PERCOM.2004.1276857
Filename
1276857
Link To Document