A Fundamental Tradeoff Between Total and Brown Power Consumption in Geographically Dispersed Data Centers

This letter aims at deriving a fundamental tradeoff between the total and brown power consumption associated with geographical dispersed data centers, where utilizing more green energy mostly happens at the cost of increasing the total power consumption. To this end, we define a new service efficiency parameter for data centers in satisfying the QoS requirements based on the queuing analysis. More importantly, we propose the idea of modeling geo-dispersed data centers with an information flow graph to capture a total-brown power consumption tradeoff region. Accordingly, we characterize the achievable tradeoff between total and brown power consumption.

[1]  Nirwan Ansari,et al.  Toward Low-Cost Workload Distribution for Integrated Green Data Centers , 2015, IEEE Communications Letters.

[2]  Yan Zhang,et al.  On Architecture Design, Congestion Notification, TCP Incast and Power Consumption in Data Centers , 2013, IEEE Communications Surveys & Tutorials.

[3]  Thu D. Nguyen,et al.  Cost-and Energy-Aware Load Distribution Across Data Centers , 2009 .

[4]  Soroush Akhlaghi,et al.  Selective Regenerating Codes , 2011, IEEE Communications Letters.

[5]  Hamed Mohsenian Rad,et al.  Optimal integration of renewable energy resources in data centers with behind-the-meter renewable generator , 2012, 2012 IEEE International Conference on Communications (ICC).

[6]  Adam Wierman,et al.  Optimal risk-aware power procurement for data centers in day-ahead and real-time electricity markets , 2014, 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[7]  Lachlan L. H. Andrew,et al.  Greening geographical load balancing , 2011, PERV.

[8]  Margaret Martonosi,et al.  Capping the brown energy consumption of Internet services at low cost , 2010, International Conference on Green Computing.

[9]  Alexandros G. Dimakis,et al.  Network Coding for Distributed Storage Systems , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[10]  Zongpeng Li,et al.  Dynamic pricing and profit maximization for the cloud with geo-distributed data centers , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.