Abstract
To date solutions for optimal finish time and job allocation in divisible load theory are largely obtained only for network topologies with a single load originating (root) processor. However in large-scale data intensive problems with geographically distributed resources, load is generated from multiple sources. This paper introduces a new divisible load scheduling strategy for tree networks with two load originating processors. Solutions for an optimal allocation of fraction of loads to nodes in single level tree networks are obtained via linear programming. Performance evaluation of a two source homogeneous single level tree network with concurrent communication strategy is presented.
Original language | English (US) |
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Article number | 439-153 |
Pages (from-to) | 423-428 |
Number of pages | 6 |
Journal | Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems |
Volume | 16 |
State | Published - 2004 |
Externally published | Yes |
Event | Proceedings of the 16th IASTED International Conference on Parallel and Distributed Computing and Systems - Cambridge, MA, United States Duration: Nov 9 2004 → Nov 11 2004 |
All Science Journal Classification (ASJC) codes
- Software
- Hardware and Architecture
- Computer Networks and Communications
Keywords
- Divisible Loads
- Linear Programming
- Multiple Source
- Scheduling
- Tree Networks