Energy-performance trade-offs in data transfer tuning at the end-systems

Sustainable Computing: Informatics and Systems

Volumn 4, Issue 4, 2014, Pages 318-329

  Alan, I ^a   Arslan, E ^a   Kosar, T ^a  

^a the State University of New York   (United States)

Author keywords

Big data; Energy efficiency; Power modeling; Power aware data transfers; Protocol tuning

Indexed keywords

BIG DATA; DATA TRANSFER; ECONOMIC AND SOCIAL EFFECTS; ELECTRIC POWER UTILIZATION; ENERGY EFFICIENCY; ENERGY MANAGEMENT SYSTEMS; INFORMATION MANAGEMENT; POWER MANAGEMENT (TELECOMMUNICATION); TUNING;

HARDWARE AND SOFTWARE; NETWORKING INFRASTRUCTURE; PARAMETER COMBINATION; PERFORMANCE PENALTIES; POWER MANAGEMENT TECHNIQUES; POWER MODEL; POWER-AWARE; PROTOCOL TUNING;

DATA COMMUNICATION SYSTEMS;

EID: 84920678848     PISSN: 22105379     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.suscom.2014.08.004     Document Type: Article

References (58)

1. C. Systems, Visual Networking Index (2012).
2. U. of Minnesota, Minnesota Internet Traffic Studies (mints) (2012).
3. P. Mahadevan, P. Sharma, S. Banerjee, and P. Ranganathan A power benchmarking framework for network devices Proceedings of IFIP Networking 2009, May
4. B. Heller, S. Seetharaman, P. Mahadevan, Y. Yiakoumis, P. Sharma, S. Banerjee, and N. McKeown Elastictree: saving energy in data center networks Proceedings of NSD 2010
5. D. Brooks, V. Tiwari, and M. Martonosi Wattch: a framework for architectural-level power analysis and optimizations Proceedings of the 27th Annual International Symposium on Computer Architecture, ISCA '00 2000 ACM New York, NY, USA 83 94
6. F. Rawson, and I. Austin Mempower: A Simple Memory Power Analysis Tool Set 2004 IBM Austin Research Laboratory
7. J. Zedlewski, S. Sobti, N. Garg, F. Zheng, A. Krishnamurthy, and R.Y. Wang Modeling hard-disk power consumption. FAST 2003
8. S. Gurumurthi, A. Sivasubramaniam, M.J. Irwin, N. Vijaykrishnan, and M. Kandemir Using complete machine simulation for software power estimation: the softwatt approach Prpc. of 8th High-Performance Computer Architecture Symp 2002 141 150
9. G. Contreras, and M. Martonosi Power prediction for intel xscale® processors using performance monitoring unit events ISLPED '05 2005 221 226
10. D. Economou, S. Rivoire, C. Kozyrakis, and P. Ranganathan Full-system power analysis and modeling for server environments Proc. of Workshop on Modeling, Benchmarking, and Simulation 2006
11. X. Fan, W.-D. Weber, and L.A. Barroso Power provisioning for a warehouse-sized computer ACM SIGARCH Computer Architecture News 35 2 2007 13 23
12. S. Rivoire, P. Ranganathan, and C. Kozyrakis A comparison of high-level full-system power models HotPower 8 2008 3
13. R. Koller, A. Verma, and A. Neogi Wattapp: an application aware power meter for shared data centers Proceedings of the 7th International Conference on Autonomic Computing 2010 ACM 31 40
14. K. Hasebe, T. Niwa, A. Sugiki, and K. Kato Power-saving in large-scale storage systems with data migration IEEE CloudCom 2010
15. S.V. Vrbsky, M. Galloway, R. Carr, R. Nori, and D. Grubic Decreasing power consumption with energy efficient data aware strategies FGCS 29 5 2013 1152 1163
16. G. Ananthanarayanan, and R. Katz Greening the switch Proceedings of HotPower 2008, December
17. A. Greenberg, J. Hamilton, D. Maltz, and P. Patel The cost of a cloud: Research problems in data center networks ACM SIGCOMM CCR 2009, January
18. E. Goma, M.C.A.L. Toledo, N. Laoutaris, D. Kosti, P. Rodriguez, R. Stanojev, and P.Y. Valentin Insomnia in the access or how to curb access network related energy consumption Proceedings of ACM SIGCOMM 2011
19. M. Gupta, and S. Singh Energy conservation with low power modes in ethernet LAN environments IEEE INFOCOM (MiniSymposium) 2007
20. S. Nedevschi, L. Popa, G. Iannaccone, S. Ratnasamy, and D. Wether-all Reducing network energy consumption via rate-adaptation and sleeping Proceedings Of NSDI 2008, April
21. A. Greenberg, P. Lahiri, D.A. Maltz, P. Patel, and S. Sengupta Towards a next generation data center architecture: scalability and commoditization ACM PRESTO 2008 5762
22. D.A. Joseph, A. Tavakoli, and I. Stoica A policy-aware switching layer for data centers SIGCOMM CCR, vol. 38(4) 2008 5162
23. J. Chabarek, J. Sommers, P. Barford, C. Estan, D. Tsiang, and S. Wright Power awareness in network design and routing Proceedings of IEEE INFOCOM 2008, April
24. R. Kohavi, R.M. Henne, and D. Sommerfield Practical guide to controlled experiments on the web: Listen to your customers not to the hippo Proceedings of KDD 2007
25. Ibm Active Energy Manager, http://www-03.ibm.com/systems/software/director/aem/.
26. Spec Accepted Measurement Devices, http://www.spec.org/power/.
27. J. Moore, Gamut, http://www.cs.duke.edu/nicl/cod/.
28. D. Carraway, Lookbusy, http://devin.com/lookbusy/.
29. R. Basmadjian, and H. De Meer Evaluating and modeling power consumption of multi-core processors 2012 Third International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet (e-Energy) 2012 1 10
30. A. Family, 10h Server and Workstation Processor Power and Thermal Data Sheet.
31. SMTP Service Extension for Command Pipelining, http://tools.ietf.org/html/rfc2920.
32. K. Farkas, P. Huang, B. Krishnamurthy, Y. Zhang, and J. Padhye Impact of TCP variants on http performance Proceedings of High Speed Networking, vol. 2 2002
33. H. Sivakumar, S. Bailey, and R.L. Grossman Psockets: the case for application-level network striping FPR data intensive applications using high speed wide area networks Proceedings of ACM/IEEE SC'2000 2000
34. J. Lee, D. Gunter, B. Tierney, B. Allcock, J. Bester, J. Bresnahan, and S. Tuecke Applied techniques for high bandwidth data transfers across wide area networks International Conference on Computing in High Energy and Nuclear Physics 2001
35. H. Balakrishman, V.N. Padmanabhan, S. Seshan, M. Stemm, and R.H. Katz TCP behavior of a busy internet server: analysis and improvements Proceedings of INFOCOM '98 1998
36. T.J. Hacker, B.D. Noble, and B.D. Atley Adaptive data block scheduling for parallel streams Proceedings of HPDC '05 2005
37. L. Eggert, J. Heideman, and J. Touch Effects of ensemble tcp ACM SIGCOMM CCR 30 1 2000 15 29
38. R.P. Karrer, J. Park, and J. Kim TCP-ROME: performance and fairness in parallel downloads for web and real time multimedia streaming applications Technical Report, Deutsche Telekom 2006
39. D. Lu, Y. Qiao, and P.A. Dinda Characterizing and predicting TCP throughput on the wide area network Proceedings of ICDCS '05 2005
40. T.J. Hacker, B.D. Noble, and B.D. Atley The end-to-end performance effects of parallel TCP sockets on a lossy wide area network Proceedings of IPDPS '02 2002 IEEE 314
41. J. Crowcroft, and P. Oechslin Differentiated end-to-end internet services using a weighted proportional fair sharing TCP ACM SIGCOMM Comput. Commun. Rev. 28 3 1998 53 69
42. D. Lu, Y. Qiao, P.A. Dinda, and F.E. Bustamante Modeling and taming parallel TCP on the wide area network Proc. IEEE Int. Symp. Paral. Distrib. Process. (IPDPS'05) 2005 68b
43. T. Kosar, and M. Livny Stork: Making data placement a first class citizen in the grid Proceedings of ICDCS'04 2004
44. T. Kosar, and M. Balman A new paradigm: Data-aware scheduling in grid computing Fut. Gener. Comput. Syst. 25 4 2009 406 413
45. W. Liu, B. Tieman, R. Kettimuthu, and I. Foster A data transfer framework for large-scale science experiments Proc. of DIDC 2010
46. E. Arslan, B. Ross, and T. Kosar Dynamic protocol tuning algorithms for high performance data transfers Euro-Par, vol. 8097 2013
47. The Extreme Science and Engineering Discovery Environment (xsede), https://www.xsede.org/.
48. H.-S. Wang, X. Zhu, L.-S. Peh, and S. Malik Orion: a power-performance simulator for interconnection networks Proc. of MICRO 2002 2002 IEEE 294 305
49. T. Heath, B. Diniz, E.V. Carrera, W. Meira Jr., and R. Bianchini Energy conservation in heterogeneous server clusters Proceedings of the tenth ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming 2005 ACM 186 195
50. J. Choi, S. Govindan, B. Urgaonkar, and A. Sivasubramaniam Profiling, prediction, and capping of power consumption in consolidated environments Proc. of MASCOTS 2008
51. A. Kansal, and F. Zhao Fine-grained energy profiling for power-aware application design ACM SIGMETRICS Perform. Eval. Rev. 36 2 2008 26 31
52. T. Do, S. Rawshdeh, and W. Shi ptop: a process-level power profiling tool Proc. of HotPower 2009 2009
53. P. Bohrer, D. Cohn, E. Elnozahy, T. Keller, M. Kistler, C. Lefurgy, R. Rajamony, F. Rawson, and E. Hensbergen Energy conservation for servers IEEE Workshop on Power Management for Real-time and Embedded Systems 2001
54. E. Pinheiro, R. Bianchini, E.V. Carrera, and T. Heath Load balancing and unbalancing for power and performance in cluster-based systems Workshop on compilers and operating systems for low power, vol. 180 Barcelona, Spain 2001 182 195
55. J.S. Chase, D.C. Anderson, P.N. Thakar, A.M. Vahdat, and R.P. Doyle Managing energy and server resources in hosting centers ACM SIGOPS Operating Systems Review, vol. 35 2001 ACM
56. E. Pinheiro, R. Bianchini, E.V. Carrera, and T. Heath Dynamic cluster reconfiguration for power and performance Compilers and Operating Systems for Low Power 2003 Springer 75 93
57. D. Harnik, D. Naor, and I. Segall Low power mode in cloud storage systems Proc. of IPDPS 2009 2009 IEEE 1 8
58. M. Gupta, and S. Singh Greening of the internet ACM SIGCOMM 2003 1926