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A survey on sustainability in ICT: a computing perspective

Published: 12 July 2014 Publication History

Abstract

The rise of the data centers industry, together with the emergence of large cloud computing that require large quantities of resources to be maintained, brought the need of providing a sustainable development process. Through this paper we aim to provide an introductory insight on the status and tools available to tackle this perspective within the evolutionary and genetic algorithms community. Existing advancements are also emphasized and perspectives outlined.

References

[1]
Open Networking Foundation. http://www.opennetworking.org.
[2]
AMD. Cool'n'Quiet Technology. http://www.amd.com/us/products/technologies/cool-n-quiet/Pages/cool-n-q%uiet.aspx, 2004.
[3]
Janet Anders, Saroosh Shabbir, Stefanie Hilt, and Eric Lutz. Landauer's Principle in the Quantum Domain. In Cooper et al. {17}, pages 13--18.
[4]
John Pflueger Andy Rawson and Tahir Cader. The Green Grid Data Center Power Efficiency Metrics: PUE and DCiE. http://www.thegreengrid.org/Global/Content/white-papers/The-Green-Grid-Data-Center-Power-Efficiency-Metrics-PUE-and-DCiE#sthash.tnUhZM7e.dpuf, Oct. 2007.
[5]
Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, and Matei Zaharia. A View of Cloud Computing. Commun. ACM, 53(4):50--58, April 2010.
[6]
Marko Bajec and Johann Eder, editors. Advanced Information Systems Engineering Workshops - CAiSE 2012 International Workshops, Gdask, Poland, June 25-26, 2012. Proceedings, volume 112 of Lecture Notes in Business Information Processing. Springer, 2012.
[7]
Anton Beloglazov, Jemal Abawajy, and Rajkumar Buyya. Energy-Aware Resource Allocation Heuristics for Efficient Management of Data Centers for Cloud Computing. Future Generation Computer Systems, 28(5):755--768, 2012. Special Section: Energy efficiency in large-scale distributed systems.
[8]
Anton Beloglazov, Rajkumar Buyya, Young Choon Lee, and Albert Y. Zomaya. A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems. CoRR, abs/1007.0066, 2010.
[9]
S. Benedict, R. S. Rejitha, and C. B. Bright. Energy Consumption-Based Performance Tuning of Software and Applications Using Particle Swarm Optimization. In Software Engineering (CONSEG), 2012 CSI Sixth International Conference on, pages 1--6, sept. 2012.
[10]
C. H. Bennett. Logical Reversibility of Computation. IBM J. Res. Dev., 17(6):525--532, November 1973.
[11]
Andreas Berl, Erol Gelenbe, Marco Di Girolamo, Giovanni Giuliani, Hermann De Meer, Minh Quan Dang, and Kostas Pentikousis. Energy-Efficient Cloud Computing. Comput. J., 53(7):1045--1051, September 2010.
[12]
Antoine Bérut, Artak Arakelyan, Artyom Petrosyan, Sergio Ciliberto, Raoul Dillenschneider, and Eric Lutz. Experimental verification of Landauer's principle linking information and thermodynamics. Nature, 483(7388):187--189, Mar 2012.
[13]
Rajkumar Buyya, Rajiv Ranjan, and Rodrigo N. Calheiros. InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services. In Ching-Hsien Hsu, Laurence T. Yang, Jong Hyuk Park, and Sang-Soo Yeo, editors, Algorithms and Architectures for Parallel Processing, volume 6081 of Lecture Notes in Computer Science, pages 13--31. Springer Berlin Heidelberg, 2010.
[14]
Ying Chang-tian and Yu Jiong. Energy-Aware Genetic Algorithms for Task Scheduling in Cloud Computing. In China Grid Annual Conference (ChinaGrid), 2012 Seventh, pages 43--48, sept. 2012.
[15]
J. Clidaras, D. W. Stiver, and W. Hamburgen. Water-based Data Center. http://www.google.com/patents/US7525207, April 28 2009. US Patent 7,525,207.
[16]
Computer & Communications Industry Association. Cloud Computing. http://www.ccianet.org/wp-content/uploads/library/Cloud_Computing.pdf, 2009.
[17]
S. Barry Cooper, Prakash Panangaden, and Elham Kashefi, editors. Proceedings Sixth Workshop on Developments in Computational Models: Causality, Computation, and Physics, DCM 2010, Edinburgh, Scotland, 9-10th July 2010, volume 26 of EPTCS, 2010.
[18]
M. P. Czamara and O. P. Morales. Compressed Air Cooling System for Data Center. https://www.google.com/patents/EP2554032A1?cl=en, February 6 2013. EP Patent App. EP20,110,712,079.
[19]
Kristof Du Bois, Tim Schaeps, Stijn Polfliet, Frederick Ryckbosch, and Lieven Eeckhout. SWEEP: Evaluating Computer System Energy Efficiency Using Synthetic Workloads. In Proceedings of the 6th International Conference on High Performance and Embedded Architectures and Compilers, HiPEAC '11, pages 159--166, New York, NY, USA, 2011. ACM.
[20]
Embedded Microprocessor Benchmark Consortium (EEMBC). Energybench V1.0 Power/Energy Benchmarks. http://www.eembc.org/benchmark/power_sl.php.
[21]
Eugen Feller, Louis Rilling, and Christine Morin. Energy-Aware Ant Colony Based Workload Placement in Clouds. In Proceedings of the 2011 IEEE/ACM 12th International Conference on Grid Computing, GRID '11, pages 26--33, Washington, DC, USA, 2011. IEEE Computer Society.
[22]
Ian Foster, Yong Zhao, Ioan Raicu, and Shiyong Lu. Cloud Computing and Grid Computing 360-Degree Compared. 2008 Grid Computing Environments Workshop, abs/0901.0(5):1--10, 2008.
[23]
Siddharth Garg, Diana Marculescu, Radu Marculescu, and Umit Ogras. Technology-driven Limits on DVFS Controllability of Multiple Voltage-frequency Island Designs: A System-level Perspective. In Proceedings of the 46th Annual Design Automation Conference, DAC '09, pages 818--821, New York, NY, USA, 2009. ACM.
[24]
Greenpeace International Gary Cook. How Green is Your Cloud? Catalysing an Energy Revolution. http://www.greenpeace.org/new-zealand/Global/international/publications/climate/2012/iCoal/HowCleanisYourCloud.pdf, apr 2012.
[25]
Google. Efficiency: How we do it. http://www.google.com/about/datacenters/efficiency/internal/index.html#measuring-efficiency.
[26]
Hadi Goudarzi, Mohammad Ghasemazar, and Massoud Pedram. SLA-based optimization of power and migration cost in cloud computing. In Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), CCGRID '12, pages 172--179, Washington, DC, USA, 2012. IEEE Computer Society.
[27]
June A. Grant. Implementing Sustainable Practices @ NASA Ames, GreenGov Symposium, 2011 Washington, USA. http://www.greengov2011.org/presentations/GreenFacilities/GreenGov-2011-GreenFacilities-S5-JuneGrant.pdf, Oct 2011.
[28]
Albert G. Greenberg and Kazem Sohraby, editors. Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012. IEEE, 2012.
[29]
Katherine Griffiths. World's greenest office block set for Paris, The Telegraph. http://www.telegraph.co.uk/finance/newsbysector/constructionandproperty/2781961/Worlds-greenest-office-block-set-for-Paris.html, Jan 2008.
[30]
M. N. Halgamuge, S. M. Guru, and A. Jennings. Energy Efficient Cluster Formation in Wireless Sensor Networks. In Telecommunications, 2003. ICT 2003. 10th International Conference on, volume 2, pages 1571--1576 vol. 2, Feb 2003.
[31]
Haitham Hassanieh, Piotr Indyk, Dina Katabi, and Eric Price. Nearly Optimal Sparse Fourier Transform. In Proceedings of the Forty-fourth Annual ACM Symposium on Theory of Computing, STOC '12, pages 563--578, New York, NY, USA, 2012. ACM.
[32]
Intel White Paper 30057701. Wireless Intel SpeedStep power manager: optimizing power consumption for the Intel PXA27x processor family. Technical report, Intel, 2004.
[33]
Jeremy Kirk, IDG News Service, PCWorld. HP Opens First Ever Wind-cooled Data Center. http://www.pcworld.com/article/188996/hp_opens_first_ever_wind_cooled_data_center.html, 2010.
[34]
Ajay M. Joshi, Lieven Eeckhout, Lizy Kurian John, and Ciji Isen. Automated Microprocessor Stressmark Generation. In HPCA, pages 229--239. IEEE Computer Society, 2008.
[35]
Jonathan G. Koomey. Worldwide Electricity Used in Data Centers. Environmental Research Letters, 3(3):034008, 2008.
[36]
Jonathan G. Koomey, Stephen Berard, Marla Sanchez, and Henry Wong. Implications of Historical Trends in the Electrical Efficiency of Computing. IEEE Annals of the History of Computing, 33(3):46--54, 2011.
[37]
K. Kumar and Yung-Hsiang Lu. Cloud Computing for Mobile Users: Can Offloading Computation Save Energy? Computer, 43(4):51--56, 2010.
[38]
R. Landauer. Irreversibility and Heat Generation in the Computing Process. IBM J. Res. Dev., 5(3):183--191, Jul 1961.
[39]
Klaus-Dieter Lange. Identifying Shades of Green: The SPECpower Benchmarks. IEEE Computer, 42(3):95--97, 2009.
[40]
James Laudon. Performance/Watt: The New Server Focus. SIGARCH Comput. Archit. News, 33(4):5--13, November 2005.
[41]
Wei-Ru Lee, Hung-Yi Teng, and Ren-Hung Hwang. Optimization of Cloud Resource Subscription Policy. In Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on, pages 449--455, dec. 2012.
[42]
Bo Li, Jianxin Li, Jinpeng Huai, Tianyu Wo, Qin Li, and Liang Zhong. EnaCloud: An Energy-Saving Application Live Placement Approach for Cloud Computing Environments. In Cloud Computing, 2009. CLOUD '09. IEEE International Conference on, pages 17--24, Sept 2009.
[43]
Dawei Li and Jie Wu. Energy-aware Scheduling on Multiprocessor Platforms. Springer Publishing Company, Incorporated, 2012.
[44]
G. Li, M. Li, S. Azarm, J. Rambo, and Y. Joshi. Optimizing Thermal Design of Data Center Cabinets with a New Multi-objective Genetic Algorithm. Distrib. Parallel Databases, 21(2-3):167--192, June 2007.
[45]
Qiang Li. Applying Stochastic Integer Programming to Optimization of Resource Scheduling in Cloud Computing. JNW, 7(7):1078--1084, 2012.
[46]
Siva Theja Maguluri, R. Srikant, and Lei Ying. Stochastic Models of Load Balancing and Scheduling in Cloud Computing Clusters. In Greenberg and Sohraby {28}, pages 702--710.
[47]
Mark Gregory, BBC News. Inside Facebook's Green and Clean Arctic Data Centre. http://www.bbc.com/news/business-22879160, 2013.
[48]
Paul A. Mathew, Srirupa Ganguly, Steve E. Greenberg, and Dale A. Sartor. Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions. Technical report, Lawrence Berkeley National Laboratory, Jul 2009.
[49]
Sara McAllister, Van P. Carey, Amip Shah, Cullen Bash, and Chandrakant D. Patel. Strategies for Effective use of Energy-based Modeling of Data Center Thermal Management Systems. Microelectronics Journal, 39(7):1023--1029, 2008.
[50]
Nick McKeown, Tom Anderson, Hari Balakrishnan, Guru Parulkar, Larry Peterson, Jennifer Rexford, Scott Shenker, and Jonathan Turner. OpenFlow: enabling innovation in campus networks. In Proc. of the ACM SIGCOMM 2008 conference, pages 38(2):69--74, 2008.
[51]
M. Mezmaz, N. Melab, Y. Kessaci, Y. C. Lee, E. G. Talbi, A. Y. Zomaya, and D. Tuyttens. A Parallel Bi-Objective Hybrid Metaheuristic for Energy-Aware Scheduling for Cloud Computing Systems. J. Parallel Distrib. Comput., 71(11):1497--1508, November 2011.
[52]
G. E. Moore. Cramming More Components onto Integrated Circuits. Electronics, 38(8):114--117, Apr 1965.
[53]
Samuel K. Moore. Landauer Limit Demonstrated, IEEE Spectrum. http://spectrum.ieee.org/computing/hardware/landauer-limit-demonstrated, Mar 2012.
[54]
The Green Grid Global Harmonization of Data Center Efficiency Metrics Task Force. Harmonizing Global Metrics for Data Center Energy Efficiency, March 2014.
[55]
Open Networking Foundation. SDN architecture overview. ONF White paper, Dec. 2013.
[56]
Parliament Office of Science and Technology. ICT and CO2 Emissions. http://www.parliament.uk/documents/post/postpn319.pdf, Dec 2008.
[57]
C. D. Patel, C. E. Bash, and A. H. Beitelmal. Smart Cooling of Data Centers. https://www.google.com/patents/US6574104, June 3 2003. US Patent 6,574,104.
[58]
Dung H. Phan, Junichi Suzuki, Raymond Carroll, Sasitharan Balasubramaniam, William Donnelly, and Dmitri Botvich. Evolutionary Multiobjective Optimization for Green Clouds. In Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, GECCO Companion '12, pages 19--26, New York, NY, USA, 2012. ACM.
[59]
J. J. Prevost, K. Nagothu, B. Kelley, and M. Jamshidi. Prediction of Cloud Data Center Networks Loads using Stochastic and Neural Models. In System of Systems Engineering (SoSE), 2011 6th International Conference on, pages 276--281, june 2011.
[60]
Paul Rad, Max Thoene, and Tim Webb. Best Practices for Increasing Data Center Energy Efficiency, February 2008.
[61]
Jeffrey Rambo and Yogendra Joshi. Modeling of Data Center Airflow and Heat Transfer: State of the Art and Future Trends. Distributed and Parallel Databases, 21(2-3):193--225, 2007.
[62]
Suzanne Rivoire, Mehul A. Shah, Parthasarathy Ranganathan, and Christos Kozyrakis. JouleSort: A Balanced Energy-efficiency Benchmark. In Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data, SIGMOD '07, pages 365--376, New York, NY, USA, 2007. ACM.
[63]
Victor Romanov, Aleksandra Varfolomeeva, and Andrey Koryakovskiy. Branching Processes Theory Application for Cloud Computing Demand Modeling Based on Traffic Prediction. In Bajec and Eder {6}, pages 502--510.
[64]
Richard Sawyer. Calculating Total Power Requirements for Data Centers, 2011.
[65]
Storage Networking Industry Association (SNIA). Storage Management Initiative Specification. http://snia.org/tech_activities/publicreview, 2013.
[66]
S. Subashini and V. Kavitha. A Survey on Security Issues in Service Delivery Models of Cloud Computing. Journal of Network and Computer Applications, 34(1):1--11, 2011.
[67]
Q. Tang, S. K. S. Gupta, and G. Varsamopoulos. Energy-Efficient Thermal-Aware Task Scheduling for Homogeneous High-Performance Computing Data Centers: A Cyber-Physical Approach. Parallel and Distributed Systems, IEEE Transactions on, 19(11):1458--1472, Nov 2008.
[68]
A.-A. Tantar, Anh Quan Nguyen, P. Bouvry, B. Dorronsoro, and E.-G. Talbi. Computational Intelligence for Cloud Management Current Trends and Opportunities. In Evolutionary Computation (CEC), 2013 IEEE Congress on, pages 1286--1293, June 2013.
[69]
Alexandru-Adrian Tantar, Grégoire Danoy, Pascal Bouvry, and SameeU. Khan. Energy-Efficient Computing Using Agent-Based Multi-objective Dynamic Optimization. In Jae H. Kim and Myung J. Lee, editors, Green IT: Technologies and Applications, pages 267--287. Springer Berlin Heidelberg, 2011.
[70]
Alexandru-Adrian Tantar, Emilia Tantar, and Pascal Bouvry. A Classification of Dynamic Multi-objective Optimization Problems. In Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation, GECCO '11, pages 105--106, New York, NY, USA, 2011. ACM.
[71]
E. Tantar, A. Tantar, and P. Bouvry. On Dynamic Multi-Objective Optimization, Classification and Performance Measures. In Evolutionary Computation (CEC), 2011 IEEE Congress on, pages 2759--2766, June 2011.
[72]
Lizhe Wang and SameeU. Khan. Review of Performance Metrics for Green Data Centers: A Taxonomy Study. The Journal of Supercomputing, 63(3):639--656, 2013.
[73]
White Paper, Google. Google's Carbon Offsets: Collaboration and Due Diligence. https://static.googleusercontent.com/media/www.google.com/en//green/pdfs/google-carbon-offsets.pdf, 2011.
[74]
Erik Young, Paul Cao, and Mike Nikolaiev. First TPC-Energy Benchmark: Lessons Learned in Practice. In Raghunath Nambiar and Meikel Poess, editors, Performance Evaluation, Measurement and Characterization of Complex Systems, volume 6417 of Lecture Notes in Computer Science, pages 136--152. Springer Berlin Heidelberg, 2011.
[75]
Qi Zhang, Lu Cheng, and Raouf Boutaba. Cloud Computing: State-Of-The-Art and Research Challenges. Journal of Internet Services and Applications, 1:7--18, 2010.

Cited By

View all
  • (2023)Escope: An Energy Efficiency Simulator for Internet Data CentersEnergies10.3390/en1607318716:7(3187)Online publication date: 31-Mar-2023
  • (2016)Towards Joint Optimization Over ICT and Cooling Systems in Data Centre: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2016.254510918:3(1596-1616)Online publication date: 1-Jul-2016
  • (2016)Empirical Evidences in Software-Defined Network Security: A Systematic Literature ReviewInformation Fusion for Cyber-Security Analytics10.1007/978-3-319-44257-0_11(253-295)Online publication date: 22-Oct-2016

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    cover image ACM Conferences
    GECCO Comp '14: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation
    July 2014
    1524 pages
    ISBN:9781450328814
    DOI:10.1145/2598394
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 12 July 2014

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    Author Tags

    1. energy efficiency
    2. evolutionary computation
    3. sustainable ict

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    GECCO '14: Genetic and Evolutionary Computation Conference
    July 12 - 16, 2014
    BC, Vancouver, Canada

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    GECCO Comp '14 Paper Acceptance Rate 180 of 544 submissions, 33%;
    Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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    Cited By

    View all
    • (2023)Escope: An Energy Efficiency Simulator for Internet Data CentersEnergies10.3390/en1607318716:7(3187)Online publication date: 31-Mar-2023
    • (2016)Towards Joint Optimization Over ICT and Cooling Systems in Data Centre: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2016.254510918:3(1596-1616)Online publication date: 1-Jul-2016
    • (2016)Empirical Evidences in Software-Defined Network Security: A Systematic Literature ReviewInformation Fusion for Cyber-Security Analytics10.1007/978-3-319-44257-0_11(253-295)Online publication date: 22-Oct-2016

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