Computational models and heuristic methods for Grid scheduling problems
By Fatos Xhafa, Ajith Abraham. Future generations computer systems, 2010
404 citations recorded by the source corpus.
In this paper we survey computational models for Grid scheduling problems and their resolution using heuristic and meta-heuristic approaches. Scheduling problems are at the heart of any Grid-like computational system. Different types of scheduling based on different criteria, such as static versus dynamic environment, multi-objectivity, adaptivity, etc., are identified. Then, heuristic and meta-heuristic methods for scheduling in Grids are presented. The paper reveals the complexity of the scheduling problem in Computational Grids when compared to scheduling in classical parallel and distributed systems and shows the usefulness of heuristic and meta-heuristic approaches for the design of efficient Grid schedulers. We also discuss on requirements for a modular Grid scheduling and its integration with Grid architecture.
Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems
View Paper: https://www.semanticscholar.org/paper/f73a1381888c55c91f6602d4d05c250848df4a86
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In Computer Networks and Communications
In Information Systems
Citations in the corpus
- A review of metaheuristic scheduling techniques in cloud computing (2015, background): “Following are some of the Consumer-Desired and Provider-Desired optimization criteria [5] while scheduling tasks in grid or cloud environment:”