Computation offloading to save energy on handheld devices: a partition scheme
CASES '01 Proceedings of the 2001 international conference on Compilers, architecture, and synthesis for embedded systems
Challenge: integrating mobile wireless devices into the computational grid
Proceedings of the 8th annual international conference on Mobile computing and networking
Survivable mobile wireless networks: issues, challenges, and research directions
WiSE '02 Proceedings of the 1st ACM workshop on Wireless security
On the Use of Mobile Code Technology for Monitoring Grid System
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Iterative Grid-Based Computing Using Mobile Agents
ICPP '02 Proceedings of the 2002 International Conference on Parallel Processing
Proceedings of the 2009 conference on Techniques and Applications for Mobile Commerce: Proceedings of TAMoCo 2009
Introducing mobile devices into Grid systems: a survey
International Journal of Web and Grid Services
Monitoring and status representation of devices in wireless grids
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
An efficient method of sharing device resource status in wireless grids
Multiagent and Grid Systems
| Hi-index | 0.00 |
The explosive growth in the number of mobile devices such as Internet-enabled cellular phones, wireless handheld devices, wireless laptops, and tablet PCs has driven the corresponding growth in applications for mobile computing. These applications usually belong to one of two classes: collaborative applications and individual application. While collaborative applications require several mobile devices to work together and include peer-to-peer computing and grid computing, individual applications are local to the mobile device and its user. In this paper, we present a framework that allows mobile devices to collaboratively work on a computationally-expensive problem. Such a problem is decomposed into smaller tasks and distributed across other mobile devices willing to share their computational power with others. This framework is based on the paradigm of grid computing applied to the domain of wireless mobile devices. This paper presents our current implementation of the framework architecture and simulation of its functionality. Also, we focus on the issues of mobility, QoS and network stability and their effect on the performance of our collaborative problem-solving framework.