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Content Provider | IEEE Xplore Digital Library |
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Author | Farooq, U. Khalil, W. |
Copyright Year | 2006 |
Description | Author affiliation: University of The Punjab, Lahore, Pakistan. (Farooq, U.) |
Abstract | Grid Computing has emerged as an efficient problem solution paradigm since the last decade. Most of the research and implementation of grid computing environments collaborate and share heterogeneous resources in static manner. Scheduling is the most challenging and primitive issue that should be addressed effectively to achieve minimized resource utilization and maximum performance. This way reduced average execution time is achieved. To realize the above mentioned goal, many prediction models have been presented based on different parameters such as network bandwidth, computing capability and replica management. Recent years have seen a keen interest of research community and practitioners for the development and deployment of mobile grids. This paper aims to present a generic mobility model to extend the conventional prediction models. The model visualizes best resources and hence improves scheduler performance in mobile grid environments. A sample implementation mechanism and two possible scenarios have been demonstrated. |
Starting Page | 189 |
Ending Page | 193 |
File Size | 79611 |
Page Count | 5 |
File Format | |
ISBN | 0978569903 |
DOI | 10.1109/CTS.2006.7 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-05-14 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Geographic Information Systems Peer to peer computing Grid Prediction Predictive models Scheduling Distributed computing Computer science scheduler Processor scheduling Collaboration Decentralization Grid computing Large-scale systems Mobile Grids Resource management |
Content Type | Text |
Resource Type | Article |
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