QOS based user driven scheduler for grid environment
Sanjay Patel, Madhuri Bhavsar

TL;DR
This paper introduces a QoS-based user-driven scheduler for grid computing that enhances reliability and performance by optimizing resource distribution and scheduling policies tailored to user needs.
Contribution
It proposes a novel QoS-based scheduling algorithm that improves grid reliability and reduces job execution time through user-defined policies.
Findings
Improved grid reliability through QoS-based scheduling
Reduced job execution time with optimized load distribution
Enhanced user control over scheduling policies
Abstract
As grids are in essence heterogeneous, dynamic, shared and distributed environments, managing these kinds of platforms efficiently is extremely complex. A promising scalable approach to deal with these intricacies is the design of self-managing of autonomic applications. Autonomic applications adapt their execution accordingly by considering knowledge about their own behaviour and environmental conditions.QoS based User Driven scheduling for grid that provides the self-optimizing ability in autonomic applications. Computational grids to provide a user to solve large scale problem by spreading a single large computation across multiple machines of physical location. QoS based User Driven scheduler for grid also provides reliability of the grid systems and increase the performance of the grid to reducing the execution time of job by applying scheduling policies defined by the user. The…
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Taxonomy
TopicsDistributed and Parallel Computing Systems · Parallel Computing and Optimization Techniques · Advanced Data Storage Technologies
