Title :
Datacenter net profit optimization with deadline dependent pricing
Author :
Wang, Wei ; Zhang, Peng ; Lan, Tian ; Aggarwal, Vaneet
Author_Institution :
Dept. of ECE, George Washington Univ., Washington, DC, USA
Abstract :
This paper considers deadline dependent pricing and its impact to datacenter net profit optimization. We formulate the problem by jointly maximizing total revenue as a function of individual job deadlines and minimizing electricity cost through job scheduling over different time and locations. These two complementary objectives-the maximization of revenue and the minimization of cost-are mutually-dependent due to the coupling of job completion time and scheduling decisions. Lever-aging a new approximation method for job completion time, we develop two low-complexity, distributed algorithms for the net profit optimization. Through numerical evaluations, we show the efficacy of the proposed algorithms as well as the net profit improvements.
Keywords :
approximation theory; computational complexity; computer centres; cost reduction; distributed algorithms; investment; optimisation; profitability; approximation method; datacenter net profit optimization; deadline dependent pricing; electricity cost minimization; individual job deadlines; job completion time; job scheduling; jointly total revenue maximization; low-complexity distributed algorithm; net profit improvement; numerical evaluation; scheduling decisions; Computational modeling;
Conference_Titel :
Information Sciences and Systems (CISS), 2012 46th Annual Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4673-3139-5
Electronic_ISBN :
978-1-4673-3138-8
DOI :
10.1109/CISS.2012.6310925