title: Multi-objective approach for energy-aware workflow scheduling in cloud computing environments.
abstract: We address the problem of scheduling workflow applications on heterogeneous computing systems like cloud computing infrastructures. In general, the cloud workflow scheduling is a complex optimization problem which requires considering different criteria so as to meet a large number of QoS (Quality of Service) requirements. Traditional research in workflow scheduling mainly focuses on the optimization constrained by time or cost without paying attention to energy consumption. The main contribution of this study is to propose a new approach for multi-objective workflow scheduling in clouds, and present the hybrid PSO algorithm to optimize the scheduling performance. Our method is based on the Dynamic Voltage and Frequency Scaling (DVFS) technique to minimize energy consumption. This technique allows processors to operate in different voltage supply levels by sacrificing clock frequencies. This multiple voltage involves a compromise between the quality of schedules and energy. Simulation results on synthetic and real-world scientific applications highlight the robust performance of the proposed approach.
authors: L@RIS Laboratory, EISTI, Avenue du Parc, 95011 Cergy-Pontoise, France ; ETIS Laboratory, CNRS UMR8051, University of Cergy-Pontoise, ENSEA, 6 Avenue du Ponceau, 95014 Cergy-Pontoise, France.
authors: Sonia
authors: S
authors: Yassa
authors: Rachid
authors: R
authors: Chelouah
authors: Hubert
authors: H
authors: Kadima
authors: Bertrand
authors: B
authors: Granado
mesh_terms: D000465:Algorithms; D004735:Energy Transfer; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D012815:Signal Processing, Computer-Assisted; D012984:Software; D057188:Workflow