@techreport{TD:100836,
	att_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. Leveraging
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.}},
	att_authors={va037f},
	att_categories={},
	att_copyright={{IEEE}},
	att_copyright_notice={{This version of the work is reprinted here with permission of IEEE for your personal use. Not for redistribution. The definitive version was published in 2012 {, Volume $vol}}{{, 2012-03-22}}
}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={},
	att_techdoc={true},
	att_techdoc_key={TD:100836},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:100836_DS1_2012-03-28T17:38:04.982Z.pdf},
	author={Wei Pang and Peng Zhang and Tian Lan and Vaneet Aggarwal},
	institution={{IEEE CISS}},
	month={March},
	title={{Datacenter Net Profit Optimization with Deadline Dependent Pricing}},
	year=2012,
}