Malleable scheduling for flows of jobs and applications to MapReduce
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Management Science and Operations Research,General Engineering,Software
Link
http://link.springer.com/content/pdf/10.1007/s10951-018-0576-y.pdf
Reference44 articles.
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2. Berlinska, J., & Drozdowski, M. (2011). Scheduling divisible MapReduce computations. Journal of Parallel and Distributed Computing, 71, 450–459.
3. Beyer, K., Ercegovac, V., Gemulla, R., Balmin, A., Eltabakh, M., Kanne, C.-C., et al. (2011). Jaql: A scripting language for large scale semistructured data analysis. Proceedings of VLDB, 4(12), 1272–1283.
4. Chen, C.-Y., & Chu, C.-P. (2013). A 3.42-approximation algorithm for scheduling malleable tasks under precedence constraints. IEEE Transactions on Parallel and Distributed Systems, 24(8), 1479–1488.
5. Coffman, E., Garey, M., Johnson, D., & Tarjan, R. (1980). Performance bounds for level-oriented two-dimensional packing algorithms. SIAM Journal on Computing, 9(4), 808–826.
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