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2004
Springer

MARS: A Metascheduler for Distributed Resources in Campus Grids

12 years 5 months ago
MARS: A Metascheduler for Distributed Resources in Campus Grids
Computational grids are increasingly being deployed in campus environments to provide unified access to distributed and heterogeneous resources such as clusters, storage arrays, networks, and scientific instruments. While the existing grid computing frameworks and protocols provide a robust set of mechanisms for user authentication, security, workflow and resource management; efficient scheduling of tasks on distributed and heterogeneous resources, termed as metascheduling, is an active area of research. In this paper, we describe MARS, an open-source metascheduling framework that can be integrated into existing campus infrastructure to provide robust task scheduling and resource management capabilities. MARS uses a forecasting algorithm to predict resource-level scheduling parameters such as queue lengths, turn-around times, and resource utilization. These predicted values are then used to schedule tasks based on their priority levels. It allows preemption of lowerpriority runnin...
Abhijit Bose, Brian Wickman, Cameron Wood
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where GRID
Authors Abhijit Bose, Brian Wickman, Cameron Wood
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