Mobile Computing in Physics Analysis - An Indicator for eScience

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...

• Type: Journal
• Year: 2007
• Where: CORR
• Authors: Arshad Ali, Ashiq Anjum, Tahir Azim, Julian J. Bunn, Ahsan Ikram, Richard McClatchey, Harvey B. Newman, Conrad Steenberg, Michael Thomas, Ian Willers
• Keywords: CORR 2007, Education, Handheld Devices, Heavy Computational Tasks, Resource-limited Computing Devices