Title :
Mobile computing - A green computing resource
Author :
He Ba ; Heinzelman, Wendi ; Janssen, Charles-Antoine ; Jiye Shi
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Rochester, Rochester, NY, USA
Abstract :
Cloud computing provides an approach to accessing shared computing resources. However, a traditional cloud is composed of powerful but energy-hungry workstations. The growth of the population of mobile devices such as smart phones and tablets provides huge amount of idling computing power. In this paper, we describe the design and implementation of a mobile computing system prototype named GEMCloud that utilizes energy efficient mobile devices (e.g., smartphones and tablets) as computing resources. We evaluate the computing power and energy efficiency of the mobile devices through comprehensive experiments. The results show that a cloud computing system with enough mobile devices working cooperatively is able to save 55% to 98% of the energy consumption of conventional server-based clouds while providing comparable computing speed.
Keywords :
cloud computing; green computing; mobile computing; mobile handsets; resource allocation; workstation clusters; GEMCloud; cloud computing; computing power; computing resource sharing; computing speed; energy consumption; energy-hungry workstations; green computing resource; mobile computing; mobile devices; Mobile communication; Mobile computing; Performance evaluation; Servers; Smart phones; Workstations;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2013 IEEE
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-5938-2
Electronic_ISBN :
1525-3511
DOI :
10.1109/WCNC.2013.6555295