Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2007-07-05
Computer Science
Distributed, Parallel, and Cluster Computing
8 pages, 7 figures. Presented at the 3rd Int Conf on Mobile Computing & Ubiquitous Networking (ICMU06. London October 2006
Scientific paper
This paper presents the design and implementation of a Grid-enabled physics analysis environment for handheld and other resource-limited computing devices as one example of the use of mobile devices in eScience. Handheld devices offer great potential because they provide ubiquitous access to data and round-the-clock connectivity over wireless links. Our solution aims to provide users of handheld devices the capability to launch heavy computational tasks on computational and data Grids, monitor the jobs status during execution, and retrieve results after job completion. Users carry their jobs on their handheld devices in the form of executables (and associated libraries). Users can transparently view the status of their jobs and get back their outputs without having to know where they are being executed. In this way, our system is able to act as a high-throughput computing environment where devices ranging from powerful desktop machines to small handhelds can employ the power of the Grid. The results shown in this paper are readily applicable to the wider eScience community.
Ali Abbas
Anjum Ashiq
Azim Tahir
Bunn Julian J.
Ikram Ahsan
No associations
LandOfFree
Mobile Computing in Physics Analysis - An Indicator for eScience does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Mobile Computing in Physics Analysis - An Indicator for eScience, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Mobile Computing in Physics Analysis - An Indicator for eScience will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-568899