Efficient data scheduling in Grid environments is becoming a seemingly important issue for distributed real-time applications that produce and process huge datasets. Thus, in this paper, we consider the data scheduling problem so as to provide reliable dissemination of large-scale datasets for the distributed real-time applications. We propose a new path selection-based algorithm for optimizing a criterion that reflects the general satisfiability of the system. The algorithm adopts a blocking-time analysis method combined with a simple heuristic (LCSP or SLCP). The simulation results show that our algorithm outperforms the algorithms existing in the literature. © Springer-Verlag 2004.
CITATION STYLE
Eltayeb, M., Doǧan, A., & Özgüner, F. (2004). A path selection based algorithm for maximizing self-satisfiability of requests in real-time grid applications. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3149, 468–475. https://doi.org/10.1007/978-3-540-27866-5_61
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