Optimising e-Government Data Centre Operations to Minimise Energy Consumption: A Simulation-Based Analytical Approach

The energy consumption of data centres is increasing over and over. However, there are few decision support systems introduced for data centre practitioners to use it for their daily operations, including simulating their new server installation and forecasting power consumption for the target periods. We propose a simulation model based on CloudSim, which is widely used for data centre research. Our simulation model will be tested with datasets, including IT work-loads, cooling performance, and power consumption of servers and cooling devices. In the final stage, we provide a decision support system to monitor, forecast, and optimise the power consumption of a data centre easily on the web.

[1]  Adam Wierman,et al.  Renewable and cooling aware workload management for sustainable data centers , 2012, SIGMETRICS '12.

[2]  Ayan Banerjee,et al.  Cooling-aware and thermal-aware workload placement for green HPC data centers , 2010, International Conference on Green Computing.

[3]  Ayan Banerjee,et al.  GDCSim: A simulator for green data center design and analysis , 2014, ACM Trans. Model. Comput. Simul..

[4]  Jae-Weon Jeong,et al.  Optimum supply air temperature ranges of various air-side economizers in a modular data center , 2015 .

[5]  Valeriy Vyatkin,et al.  Cyber-physical Design of Data Centers Cooling Systems Automation , 2015, TrustCom 2015.

[6]  Yin Zhang,et al.  Free cooling technologies for data centers: energy saving mechanism and applications , 2017 .

[7]  Joonwon Lee,et al.  A CFD-Based Tool for Studying Temperature in Rack-Mounted Servers , 2008, IEEE Transactions on Computers.

[8]  Kyuman Cho,et al.  Economic analysis of data center cooling strategies , 2017 .

[9]  Canbing Li,et al.  Optimizing energy consumption for data centers , 2016 .

[10]  K. Ghose,et al.  A Brief Overview of Recent Developments in Thermal Management in Data Centers , 2015 .

[11]  Jiacheng Ni,et al.  A review of air conditioning energy performance in data centers , 2017 .

[12]  Bruno Sinopoli,et al.  Reducing data center energy consumption via coordinated cooling and load management , 2008, CLUSTER 2008.

[13]  Bianca Schroeder,et al.  Temperature management in data centers: why some (might) like it hot , 2012, SIGMETRICS '12.

[14]  M.K. Patterson,et al.  The effect of data center temperature on energy efficiency , 2008, 2008 11th Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems.

[15]  Seong-Hee Kim,et al.  Guest Editors' Introduction to Special Issue on the 2012 NSF workshop , 2014, TOMC.

[16]  Yonggang Wen,et al.  Data Center Energy Consumption Modeling: A Survey , 2016, IEEE Communications Surveys & Tutorials.

[17]  Liang Liu,et al.  GreenCloud: a new architecture for green data center , 2009, ICAC-INDST '09.

[18]  Atul Bhargav,et al.  Advances in data center thermal management , 2015 .

[19]  Bingsheng He,et al.  Green-aware workload scheduling in geographically distributed data centers , 2012, 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings.

[20]  Gerard F. Jones,et al.  A review of data center cooling technology, operating conditions and the corresponding low-grade waste heat recovery opportunities , 2014 .

[21]  Gregory Mone Redesigning the data center , 2012, CACM.

[22]  Jeffrey Rambo,et al.  Modeling of data center airflow and heat transfer: State of the art and future trends , 2007, Distributed and Parallel Databases.

[23]  B. Zhang,et al.  Simulation of Thermal Distribution and Airflow for Efficient Energy Consumption in a Small Data Centers , 2017 .

[24]  Amip J. Shah,et al.  From Chip to Cooling Tower Data Center Modeling: Influence of Server Inlet Temperature and Temperature Rise Across Cabinet , 2011 .

[25]  Z. Song,et al.  Data Center Energy and Cost Saving Evaluation , 2015 .

[26]  T. J. Breen,et al.  From chip to cooling tower data center modeling: Part I Influence of server inlet temperature and temperature rise across cabinet , 2010, 2010 12th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems.

[27]  Jinkyun Cho,et al.  Improving energy efficiency of dedicated cooling system and its contribution towards meeting an energy-optimized data center , 2016 .

[28]  Sujata Banerjee,et al.  ElasticTree: Saving Energy in Data Center Networks , 2010, NSDI.

[29]  Jie Liu,et al.  Towards a Holistic Data Center Simulator , 2013 .

[30]  M. Iyengar,et al.  Server liquid cooling with chiller-less data center design to enable significant energy savings , 2012, 2012 28th Annual IEEE Semiconductor Thermal Measurement and Management Symposium (SEMI-THERM).

[31]  M. Pecht,et al.  A comparison analysis of air, liquid, and two-phase cooling of data centers , 2012, 2012 28th Annual IEEE Semiconductor Thermal Measurement and Management Symposium (SEMI-THERM).

[32]  Dimos Poulikakos,et al.  Aquasar: A hot water cooled data center with direct energy reuse , 2012 .

[33]  Saman K. Halgamuge,et al.  A Review on efficient thermal management of air- and liquid-cooled data centers: From chip to the cooling system , 2017 .

[34]  Massoud Pedram,et al.  Minimizing data center cooling and server power costs , 2009, ISLPED.

[35]  B. Sammakia,et al.  Effect of Under Floor Blockages on Data Center Performance , 2006, Thermal and Thermomechanical Proceedings 10th Intersociety Conference on Phenomena in Electronics Systems, 2006. ITHERM 2006..

[36]  Srinivasan Keshav,et al.  It's not easy being green , 2012, CCRV.