Dynamic mapping of a class of independent tasks onto heterogeneous computing systems
Journal of Parallel and Distributed Computing - Special issue on software support for distributed computing
A computational economy for grid computing and its implementation in the Nimrod-G resource broker
Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure
Heuristics for Scheduling Parameter Sweep Applications in Grid Environments
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Trace-Based Simulations of Processor Co-Allocation Policies in Multiclusters
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
Fractal-Based Point Processes
DI-GRUBER: A Distributed Approach to Grid Resource Brokering
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Software—Practice & Experience
Load Unbalancing to Improve Performance under Autocorrelated Traffic
ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
Mapping DAG-based applications to multiclusters with background workload
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Analysis and modeling of job arrivals in a production grid
ACM SIGMETRICS Performance Evaluation Review
Analysis and Synthesis of Pseudo-Periodic Job Arrivals in Grids: A Matching Pursuit Approach
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Scheduling Data-IntensiveWorkflows onto Storage-Constrained Distributed Resources
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
A provisioning model and its comparison with best-effort for performance-cost optimization in grids
Proceedings of the 16th international symposium on High performance distributed computing
Modeling correlated workloads by combining model based clustering and a localized sampling algorithm
Proceedings of the 21st annual international conference on Supercomputing
Long range dependent job arrival process and its implications in grid environments
Proceedings of the first international conference on Networks for grid applications
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
A multifractal wavelet model with application to network traffic
IEEE Transactions on Information Theory
A decentralized model for scheduling independent tasks in Federated Grids
Future Generation Computer Systems
A Realistic Integrated Model of Parallel System Workloads
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
A novel multi-agent reinforcement learning approach for job scheduling in Grid computing
Future Generation Computer Systems
Towards a profound analysis of bags-of-tasks in parallel systems and their performance impact
Proceedings of the 20th international symposium on High performance distributed computing
A probabilistic task scheduling method for grid environments
Future Generation Computer Systems
Bacteria foraging optimization for protein sequence analysis on the grid
Future Generation Computer Systems
Adaptive parallel job scheduling with resource admissible allocation on two-level hierarchical grids
Future Generation Computer Systems
Self-adjusting resource sharing policies in Federated Grids
Future Generation Computer Systems
A User-Based Model of Grid Computing Workloads
GRID '12 Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing
Preference---Based Matchmaking of Grid Resources with CP---Nets
Journal of Grid Computing
An Adaptable Job Submission System Based on Moderate Price-Adjusting Policy in Market-Based Grids
Wireless Personal Communications: An International Journal
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Simulation studies of Grid scheduling strategies require representative workloads to produce dependable results. Real production Grid workloads have shown diverse correlation structures and scaling behavior, which are different to the characteristics of the available supercomputer workloads and cannot be captured by Poisson or simple distribution-based models. We present statistical models that are able to reproduce various autocorrelation structures, including pseudo-periodicity and long range dependence. By conducting model-based simulation, we quantitatively evaluate the performance impacts of workload autocorrelations in Grid scheduling. The results indicate that autocorrelations result in system performance degradation, both at the local and the Grid level. It is shown that realistic workload modeling is not only possible, but also necessary to enable dependable Grid scheduling studies.