The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Scheduling Divisible Loads in Parallel and Distributed Systems
Scheduling Divisible Loads in Parallel and Distributed Systems
Sharing Partitionable Workloads in Heterogeneous NOWs: Greedier Is Not Better
CLUSTER '01 Proceedings of the 3rd IEEE International Conference on Cluster Computing
A Novel Optimal Load Distribution Algorithm for Divisible Loads
Cluster Computing
Scheduling divisible loads in the dynamic heterogeneous grid environment
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
New worker-centric scheduling strategies for data-intensive grid applications
Proceedings of the ACM/IFIP/USENIX 2007 International Conference on Middleware
Efficient on-demand operations in dynamic distributed infrastructures
LADIS '08 Proceedings of the 2nd Workshop on Large-Scale Distributed Systems and Middleware
New worker-centric scheduling strategies for data-intensive grid applications
MIDDLEWARE2007 Proceedings of the 8th ACM/IFIP/USENIX international conference on Middleware
Novel adaptive scheduling algorithm for computational grid
IMSAA'09 Proceedings of the 3rd IEEE international conference on Internet multimedia services architecture and applications
A scheduling algorithm based on a trust mechanism in grid
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
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In this paper, we present a resource conscious dynamic scheduling strategy for handling large volume computationally intensive loads in a Grid system involving multiple sources and sinks / processing nodes. We consider a "pull-based" strategy, wherein the processing nodes request load from the sources. We employ the Incremental Balancing Strategy (IBS) algorithm proposed in the literature and propose a buffer estimation strategy to derive optimal load distribution. Here, we consider non-time critical loads that arrive at arbitrary times with time varying buffer availability at sinks and utilize buffer reclamation techniques so as to schedule the loads. We demonstrate detailed workings of the proposed algorithm with illustrative examples using real-life parameters derived from STAR experiments in BNL for scheduling large volume loads.