Title :
Toward Low-Cost Workload Distribution for Integrated Green Data Centers
Author :
Kiani, Abbas ; Ansari, Nayeem
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
This paper aims at maximizing the utilization of green energy and cutting the cost of electricity associated in provisioning computing services across a group of data centers. To this end, we propose the notion of green workload and green service rate, versus brown workload and brown service rate, respectively, to facilitate the separation of green energy utilization maximization and brown energy cost minimization problems. Accordingly, a workload distribution algorithm is designed such that the cost of electricity is reduced as compared with the existing workload distribution schemes.
Keywords :
computer centres; green computing; brown energy cost minimization problems; brown service rate; brown workload; computing services; electricity cost cutting; electricity cost reduction; green energy utilization maximization; green service rate; green workload; integrated green data centers; low-cost workload distribution algorithm; Electricity; Forecasting; Green products; Optimization; Power demand; Quality of service; Servers; Cost of Electricity; Data centers; Green energy; cost of electricity; green energy;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2014.2369459