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Issue No. 06 - Nov.-Dec. (2016 vol. 3)
ISSN: 2325-6095
pp: 16-22
Marco L. Della Vedova , Catholic University of the Sacred Heart
Daniele Tessera , Catholic University of the Sacred Heart
Maria Carla Calzarossa , University of Pavia
Parallelism has many advantages in accelerating compute tasks amenable to speed up. However, whereas parallel processing in an elastic, pay-per-use cloud can generate numerous benefits, there's a hidden downside due to the fundamental statistics and interrelationships of tasks whose completion times are stochastic.
Cloud computing, Runtime, Random variables, Uncertainty, Economics, Program processors, Robots,uncertainty, cloud computing, cloud economics, cloud parallelism, deadline, probability, scheduling
Marco L. Della Vedova, Daniele Tessera, Maria Carla Calzarossa, Joe Weinman, "The Economics of Cloud Parallelism under Uncertainty", IEEE Cloud Computing, vol. 3, no. , pp. 16-22, Nov.-Dec. 2016, doi:10.1109/MCC.2016.137
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