Abstract
Divisible load theory is a methodology involving the linear and continuous modeling of partitionable computation and communication loads for parallel processing. It adequately represents an important class of problems with applications in parallel and distributed system scheduling, various types of data processing, scientific and engineering computation, and sensor networks. Solutions are surprisingly tractable. Research in this area over the past decade is described.
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Bharadwaj, V., Ghose, D. & Robertazzi, T.G. Divisible Load Theory: A New Paradigm for Load Scheduling in Distributed Systems. Cluster Computing 6, 7–17 (2003). https://doi.org/10.1023/A:1020958815308
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DOI: https://doi.org/10.1023/A:1020958815308