A Hybrid Resource Reservation Method for Workflows in Clouds

  • Authors:
  • Tyng-Yeu Liang;Fu-Chun Lu;Jun-Yao Chiu

  • Affiliations:
  • Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, R.O.C.;Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan;Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan

  • Venue:
  • International Journal of Grid and High Performance Computing
  • Year:
  • 2012

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Abstract

QoS and energy consumption are two important issues for Cloud computing. In this paper, the authors propose a hybrid resource reservation method to address these two issues for scientific workflows in the high-performance computing Clouds built on hybrid CPU/GPU architecture. As named, this method reserves proper CPU or GPU for executing different jobs in the same workflow based on the profile of execution time and energy consumption of each resource-to-program pair. They have implemented the proposed resource reservation method on a real service-oriented system. The experimental results show that the proposed resource reservation method can effectively maintain the QoS of workflows while simultaneously minimizing the energy consumption of executing the workflows.