An Adaptive Approach to Task Scheduling Optimization in Dynamic Grid Environments
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Summary
This work proposes a new adaptive approach that allows to obtain the optimal parameters of QSS and ESS each time that the properties of the environment change, and finds that using this approach, the QSS algorithm improves its performance around a 25%.
- Type
- article
- Published
- 2009-01-01
- Cited by
- 4
- References
- 33
- OpenAlex
- https://openalex.org/W84695003
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7787580
Keywords
Computer science, Distributed computing, Scheduling (production processes), Dynamic priority scheduling, Grid
References
- High Performance Cluster Computing: Architectures and Systems
- The management of projects
- Computer Architecture: A Quantitative Approach
- Dynamic matching and scheduling of a class of independent tasks onto heterogeneous computing systems
- Improving round-trip time estimates in reliable transport protocols
- Derivation of self-scheduling algorithms for heterogeneous distributed computer systems: Application to internet-based grids of computers
- Improving Scheduling of Scientific Workflows Using Tabu Search for Computational Grids
- The Cactus Worm: Experiments with Dynamic Resource Discovery and Allocation in a Grid Environment
- A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems
- Equation of State Calculations by Fast Computing Machines
- Exploiting the parallelism available in loops
- The Grid 2: Blueprint for a New Computing Infrastructure
- Implementation of Distributed Loop Scheduling Schemes on the TeraGrid
- Load balancing highly irregular computations with the adaptive factoring
- A Heuristic Approach to Task Scheduling in Internet-Based Grids of Computers
- Genetic algorithm based scheduler for computational grids
- Scheduling Algorithms for Grid Computing: State of the Art and Open Problems
- Simulated Annealing for Grid Scheduling Problem
- Nimrod/G: an architecture for a resource management and scheduling system in a global computational grid
- Adaptive Computing on the Grid Using AppLeS
Cited by
- A Resilient Hierarchical Distributed Loop Self-Scheduling Scheme for Cloud Systems
- A general model for the generation and scheduling of parameter sweep experiments in computational grid environments
- A Fault Tolerant Adaptive Method for the Scheduling of Tasks in Dynamic Grids
- Min-Min Approach for Scheduling in Grid Environment
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