GDCSim: A simulator for green data center design and analysis

Energy-efficient data center design and management has been a challenge of increasing importance in the past decade due to its potential to save billions of dollars in energy costs. However, the state of the art in design and evaluation of data centers require designers to be expertly familiar with a prohibitively large number of domain-specific design tools that necessitate user intervention in each step of the design process. This is due to the lack of a holistic data center design tool. To fill this gap, this article presents an iterative green data center design framework, the Green Data Center Simulator (GDCSim), for the design and development of energy-efficient data centers.

[1]  Vanish Talwar,et al.  No "power" struggles: coordinated multi-level power management for the data center , 2008, ASPLOS.

[2]  Weeratunge Malalasekera,et al.  An introduction to computational fluid dynamics - the finite volume method , 2007 .

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

[4]  Prashant J. Shenoy,et al.  Agile dynamic provisioning of multi-tier Internet applications , 2008, TAAS.

[5]  Thomas F. Wenisch,et al.  Power management of online data-intensive services , 2011, 2011 38th Annual International Symposium on Computer Architecture (ISCA).

[6]  Ayan Banerjee,et al.  Model-driven coordinated management of data centers , 2010, Comput. Networks.

[7]  Nagarajan Kandasamy,et al.  Power and performance management of virtualized computing environments via lookahead control , 2008, 2008 International Conference on Autonomic Computing.

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

[9]  Christian Belady,et al.  GREEN GRID DATA CENTER POWER EFFICIENCY METRICS: PUE AND DCIE , 2008 .

[10]  Ayan Banerjee,et al.  Research directions in energy-sustainable cyber-physical systems , 2011, Sustain. Comput. Informatics Syst..

[11]  Qinghui Tang,et al.  Sensor-Based Fast Thermal Evaluation Model For Energy Efficient High-Performance Datacenters , 2006, 2006 Fourth International Conference on Intelligent Sensing and Information Processing.

[12]  Massoud Pedram,et al.  Temperature-aware dynamic resource provisioning in a power-optimized datacenter , 2010, 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010).

[13]  Jeffrey S. Chase,et al.  Weatherman: Automated, Online and Predictive Thermal Mapping and Management for Data Centers , 2006, 2006 IEEE International Conference on Autonomic Computing.

[14]  Qinghui Tang,et al.  Thermal -aware scheduling in Environmentally Coupled Cyber-Physical Distributed Systems , 2008 .

[15]  Jeffrey S. Chase,et al.  Making Scheduling "Cool": Temperature-Aware Workload Placement in Data Centers , 2005, USENIX Annual Technical Conference, General Track.

[16]  Sandeep K. S. Gupta,et al.  Trends and effects of energy proportionality on server provisioning in data centers , 2010, 2010 International Conference on High Performance Computing.

[17]  Edward A. Lee.  Cyber Physical Systems: Design Challenges , 2008, 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC).

[18]  Cullen E. Bash,et al.  Thermal considerations in cooling large scale high compute density data centers , 2002, ITherm 2002. Eighth Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (Cat. No.02CH37258).

[19]  Christophe Geuzaine,et al.  Gmsh: A 3‐D finite element mesh generator with built‐in pre‐ and post‐processing facilities , 2009 .

[20]  Thomas F. Wenisch,et al.  PowerNap: eliminating server idle power , 2009, ASPLOS.

[21]  Mor Harchol-Balter,et al.  Optimal power allocation in server farms , 2009, SIGMETRICS '09.

[22]  Junjie Wu,et al.  Towards a scalable data center-level evaluation methodology , 2011, (IEEE ISPASS) IEEE INTERNATIONAL SYMPOSIUM ON PERFORMANCE ANALYSIS OF SYSTEMS AND SOFTWARE.

[23]  Ayan Banerjee,et al.  Spatio-temporal thermal-aware job scheduling to minimize energy consumption in virtualized heterogeneous data centers , 2009, Comput. Networks.

[24]  Sergiu Nedevschi,et al.  Reducing Network Energy Consumption via Sleeping and Rate-Adaptation , 2008, NSDI.

[25]  T. N. Vijaykumar,et al.  Joint optimization of idle and cooling power in data centers while maintaining response time , 2010, ASPLOS XV.

[26]  Michael Jonas,et al.  Using transient thermal models to predict cyberphysical phenomena in data centers , 2013, Sustain. Comput. Informatics Syst..

[27]  David E. Irwin,et al.  Ensemble-level Power Management for Dense Blade Servers , 2006, 33rd International Symposium on Computer Architecture (ISCA'06).

[28]  Ricardo Bianchini,et al.  Mercury and freon: temperature emulation and management for server systems , 2006, ASPLOS XII.

[29]  Bill Tschudi,et al.  ERE: A METRIC FOR MEASURING THE BENEFIT OF REUSE ENERGY FROM A DATA CENTER , 2010 .

[30]  Sandeep K. S. Gupta,et al.  A Unified Methodology for Scheduling in Distributed Cyber-Physical Systems , 2012, TECS.

[31]  Katja Bachmeier,et al.  Numerical Heat Transfer And Fluid Flow , 2016 .

[32]  Martin Arlitt,et al.  A workload characterization study of the 1998 World Cup Web site , 2000, IEEE Netw..

[33]  Sandeep K. S. Gupta,et al.  GDCSim-An Integrated Tool Chain for Analyzing Green Data Center Physical Design and Resource Management Techniques , 2011 .

[34]  C.D. Patel,et al.  Dynamic thermal management of air cooled data centers , 2006, Thermal and Thermomechanical Proceedings 10th Intersociety Conference on Phenomena in Electronics Systems, 2006. ITHERM 2006..

[35]  S. Patankar.  Numerical Heat Transfer and Fluid Flow , 2018, Lecture Notes in Mechanical Engineering.

[36]  Ayan Banerjee,et al.  GDCSim: A tool for analyzing Green Data Center design and resource management techniques , 2011, 2011 International Green Computing Conference and Workshops.

[37]  Chita R. Das,et al.  MDCSim: A multi-tier data center simulation, platform , 2009, 2009 IEEE International Conference on Cluster Computing and Workshops.

[38]  Cullen E. Bash,et al.  Computational Fluid Dynamics Modeling of High Compute Density Data Centers to Assure System Inlet Air Specifications , 2001 .

[39]  Ayan Banerjee,et al.  Towards modeling and analysis of cyber-physical medical systems , 2011, ISABEL '11.

[40]  Sandeep K. S. Gupta,et al.  TACOMA: Server and workload management in internet data centers considering cooling-computing power trade-off and energy proportionality , 2012, TACO.

[41]  Yuan Chen,et al.  Integrated management of application performance, power and cooling in data centers , 2010, 2010 IEEE Network Operations and Management Symposium - NOMS 2010.

[42]  Ricardo Bianchini,et al.  C-Oracle: Predictive thermal management for data centers , 2008, 2008 IEEE 14th International Symposium on High Performance Computer Architecture.

[43]  Sandeep K. S. Gupta,et al.  Energy-Efficient Thermal-Aware Task Scheduling for Homogeneous High-Performance Computing Data Centers: A Cyber-Physical Approach , 2008, IEEE Transactions on Parallel and Distributed Systems.

[44]  J. Remacle,et al.  Gmsh: A 3‐D finite element mesh generator with built‐in pre‐ and post‐processing facilities , 2009 .

[45]  E. N. Elnozahy,et al.  Energy Conservation Policies for Web Servers , 2003, USENIX Symposium on Internet Technologies and Systems.

[46]  Umesh Singh,et al.  CFD-Based Operational Thermal Efficiency Improvement of a Production Data Center , 2010, SustainIT.

[47]  Sandeep K. S. Gupta,et al.  Thermal aware server provisioning and workload distribution for internet data centers , 2010, HPDC '10.

[48]  Ayan Banerjee,et al.  Integrating cooling awareness with thermal aware workload placement for HPC data centers , 2011, Sustain. Comput. Informatics Syst..

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