Evaluation of Job-Scheduling Strategies for Grid Computing

By Volker Hamscher, Uwe Schwiegelshohn, Achim Streit, Ramin Yahyapour. IEEE/ACM International Conference on Grid Computing, 2000

358 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Scheduling Algorithms for Grid Computing: State of the Art and Open Problems (2006, background): “1 only shows one Grid scheduler, but in reality multiple such schedulers might be deployed, and organized to form different structures (centralized, hierarchical and decentralized [55]) according to different concerns, such as performance or scalability.”
Parallel Job Scheduling - A Status Report (2004, methodology): “Some models have been derived to evaluate the performance of so called multi site computing [24, 4, 9, 11, 13].”
A Taxonomy of Workflow Management Systems for Grid Computing (2005, background): “urces owned by one organization. The major advantage of using the hierarchical architecture is that the different scheduling policies can be deployed in the central manager and lower-level schedulers [62]. However, the failure of the central manager will result in entire system failure. In contrast,”
A taxonomy of scientific workflow systems for grid computing (2005, background): “The architecture of the scheduling infrastructure is very important for the scalability, autonomy, quality and performance of the system [11].”