Temperature, power, and makespan aware dependent task scheduling for data centers Conference

Li, Z, Wang, L, Ren, S et al. (2011). Temperature, power, and makespan aware dependent task scheduling for data centers . 22-27. 10.1109/GreenCom.2011.12

cited authors

  • Li, Z; Wang, L; Ren, S; Quan, G

authors

abstract

  • High performance computing data centers are playing increasingly important roles in our daily life. However, as data centers increase in size and number, the power consumption at the data centers has also increased dramatically. We are facing the challenge of reducing energy consumption, lowering down the peak inlet temperature and at the same time meeting short makespan requirements. In this paper, we present two dependent task scheduling algorithms to balance the trade-offs among data center's power consumption, peak inlet temperature, and application's makespan. We compare them with two existing algorithms, i.e., the List algorithm and the CoolestInlets algorithms. Our extensive simulations show clear advantages of the proposed approaches over the List and the CoolestInlets algorithms for both homogeneous and heterogeneous data centers. © 2011 IEEE.

publication date

  • November 21, 2011

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 13

start page

  • 22

end page

  • 27