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Multi-objective Swarm Intelligence schedulers for online scientific Clouds.

, , и . Computing, 98 (5): 495-522 (2016)

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Lidia Pacini

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Другие публикации лиц с тем же именем

Multi-objective Swarm Intelligence schedulers for online scientific Clouds., , и . Computing, 98 (5): 495-522 (2016)Dynamic Scheduling based on Particle Swarm Optimization for Cloud-based Scientific Experiments., , и . CLEI Electron. J., (2014)SI-based scheduling of scientific experiments on Clouds., , и . IDAACS, стр. 699-704. IEEE, (2013)SI-Based Scheduling of Parameter Sweep Experiments on Federated Clouds., , и . CARLA, том 485 из Communications in Computer and Information Science, стр. 28-42. Springer, (2014)An ACO-inspired algorithm for minimizing weighted flowtime in cloud-based parameter sweep experiments., , и . Adv. Eng. Softw., (2013)Balancing throughput and response time in online scientific Clouds via Ant Colony Optimization (SP2013/2013/00006)., , и . Adv. Eng. Softw., (2015)CMI: An Online Multi-objective Genetic Autoscaler for Scientific and Engineering Workflows in Cloud Infrastructures with Unreliable Virtual Machines., , , , и . CoRR, (2018)Simulation on Cloud Computing Infrastructures of Parametric Studies of Nonlinear Solids Problems., , , , и . ADNTIIC, том 7547 из Lecture Notes in Computer Science, стр. 58-70. Springer, (2011)ACO-based dynamic job scheduling of parametric computational mechanics studies on Cloud Computing infrastructures., , и . High Performance Computing Workshop (1), том 24 из Advances in Parallel Computing, стр. 103-122. IOS Press, (2012)Endowing the MIA Cloud Autoscaler with Adaptive Evolutionary and Particle Swarm Multi-Objective Optimization Algorithms., , , , и . MICAI (1), том 13067 из Lecture Notes in Computer Science, стр. 383-400. Springer, (2021)