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A semantic enhanced Power Budget Calculator for distributed computing using IEEE 802.3az

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Abstract

Energy efficiency is becoming an important requirement in more and more computing systems for optimizing resource allocation and task scheduling. By switching active copper Ethernet links to a low power model the IEEE 802.3az protocol can reduce the network energy consumption when no traffic exists. However, the effect of 802.3az heavily depends on network traffic patterns, which makes its utilization challenging in scheduling computing tasks. In this research, we examined the 802.3az technology with the goal of deploying it in distributed computing systems such as clusters. We devised an energy budget calculator that includes the energy model of 802.3az compliant Ethernet devices and supports the resource management service. We show a few practical examples of how applications can better plan their execution by integrating this knowledge in their decision strategies. We also present a solution for enhancing the calculator by using a semantic energy information system.

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Notes

  1. The current prototype PBC implementation is available at https://github.com/zupper/cluster-efficiency.

  2. The EDL ontology is available at: https://bitbucket.org/hzhu/edl

References

  1. Gokhale, M., Cohen, J., Yoo, A., Miller, W., Jacob, A., Ulmer, C., Pearce, R.: Hardware technologies for high-performance data-intensive computing. IEEE Comput. 41(4), 60–68 (2008)

    Article  Google Scholar 

  2. D-link, Green Ethernet. http://dlinkgreen.com/energyefficiency.asp. Accessed July 2014

  3. IEEE Standard Associate, IEEE Std 802.3az-2010. http://standards.ieee.org/findstds/standard/802.3az-2010.html. Accessed July 2014

  4. Pavlov, D., Soert, J., Grosso, P., Zhao, Z., van der Veldt, K., Zhu, H., de Laat, C.: Towards energy efficient data intensive computing using IEEE 802.3az. In: The 2012 International Workshop on Data-Intensive Scalable Computing Systems (DISCS) in Conjunction with the 2012 ACM/IEEE Supercomputing Conference (SC) (2012)

  5. Gupta, M., Singh, S.: Greening of the Internet. Anchor Books, New York (2003)

  6. Gupta, M., Grover, S., Singh, S.: A feasibility study for power management in LAN switches. In: Proceedings of the 12th IEEE International Conference on Network Protocols, pp. 361–371 (2004)

  7. Gupta, M., Singh, S.: Using low-power modes for energy conservation in Ethernet LANs. In: IEEE INFOCOM - 26th IEEE International Conference on Computer Communications, pp. 2451–2455 (2007)

  8. Herreria-Alonso, S., Rodriguez-Perez, M., Fernandez-Veiga, M., Lopez-Garcia, C.: Opportunistic power saving algorithms for Ethernet devices. Comput. Netw. 55(9), 2051–2064 (2011)

    Article  Google Scholar 

  9. Ananthanarayanan, G., Katz, R.H.: Greening the Switch. In: Proceedings of the Conference on Power Aware Computing and Systems (HotPower) (2008)

  10. Reviriego, P., Hernadez, J., Larrabeiti, D., Maestro, J.A.: Burst transmission in Energy Efficient Ethernet. IEEE Internet Comput. 14(4), 50–57 (2010)

  11. Cisco Systems, Inc., Cisco SG300-28 Switch. http://www.cisco.com/en/US/prod/collateral/switches/ps5718/ps10898/brochure_c02-610054.pdf. Accessed Dec 2012

  12. Huawei S1728GWR-4P Switch. http://market.huawei.com/hwgg/enterprise/u-channel/pdf/S1700.pdf. Retrieved Dec 2012

  13. Intel I350–T2 Nic. http://intelethernet-dell.com/wp-content/uploads/2012/04/Dell_Intel-Ethernet-I350-T2_T4-PB_adkit.pdf. Retrieved Aug 2012

  14. Reviriego, P., Hernandez, J., Larrabeiti, D., Maestro, J.A.: Performance evaluation of energy efficient ethernet. IEEE Commun. Lett. 13(9), 697–699 (2009)

  15. Mausezahn Website. http://www.perihel.at/sec/mz/. Retrieved Dec 2012

  16. Christensen, K., Florida, S., Nordman, B., Bennett, M., Berkeley, L.: IEEE 802. 3az : the road to Energy Efficient Ethernet. IEEE Commun. Mag. 48(11), 50–56 (2010)

    Article  Google Scholar 

  17. Nagle, J.: Congestion control in IP/TCP internetworks. SIGCOMM Comput. Commun. Rev. 14(4), 11–17 (1984)

    Article  Google Scholar 

  18. Chen, Q., Grosso, P., van der Veldt, K., de Laat, C., Hofman, R., Bal, H.E.: Profiling energy consumption of vms for green cloud computing. In: Proceedings of the International Conference on Cloud and Green Computing (CGC) (2011)

  19. Zhu, H., van der Veldt, K., Grosso, P., Zhao, Z., Liao, X., de Laat, C.: Energy-aware semantic modeling for large scale infrastructures. In: Proceedings of the IEEE International Conference on Green Computing and Communications (GreenCom) Work In Progress Session, pp. 11–14 (2012)

  20. Ghijsen, M., van der Ham, J., Grosso, P., de Laat, C.: Towards an Infrastructure Description Language for Modeling Computing Infrastructures. In: 10th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), pp. 207–214. Madrid (2012)

  21. Prudhommeaux, E., Seaborne, A.: SPARQL query language for RDF. W3C Recomm. 4, 1–106 (2008)

    Google Scholar 

  22. Decker, S., Melnik, S., van Harmelen, F., Fensel, D., Klein, D., Broekstra, J.: The semantic Web: the roles of XML and RDF. IEEE Internet Comput. 15(3), 63–74 (2000)

    Article  Google Scholar 

  23. Broekstra, J., Kampman, A., van Harmelen, F.: Sesame: a generic architecture for storing and querying RDF and RDF Schema. In: Horrocks, I., Hendler, J. (eds.) Proceedings of the first Int’l Semantic Web Conference (ISWC 2002). Lecture Notes in Computer Science, vol. 2342, pp. 54–68. Springer, Sardinia (2002)

    Chapter  Google Scholar 

  24. Dean, M., Schreiber, G.: OWL Web Ontology Language Reference. W3C Recommendation, W3C, New York (2004)

  25. Reviriego, P., Christensen, K., Rabanillo, J., Maestro, J.A.: An initial evaluation of Energy Efficient Ethernet. IEEE Commun. Lett. 15(5), 578–580 (2011)

    Article  Google Scholar 

  26. Reviriego, P., Sivaraman, V., Zhao, Z., Maestro, J.A., Vishwanath, A., Sanchez-Macian, A., Russell, C.: An energy consumption model for Energy Efficient Ethernet switches. In: International Conference on High Performance Computing & Simulation (HPCS), pp. 98–104 (2012)

  27. Mahadevan, P., Sharma, P., Banerjee, S.: A power benchmarking framework for network devices. In: Proceedings of the 8th International IFIP-TC 6 Networking Conference, pp. 795–808 (2009)

  28. Wang, X., Yao, Y., Wang, X., Lu, K., Cao, Q.: CARPO: correlation-aware power optimization in data center networks. In: Proceedings IEEE INFOCOM, pp. 1125–1133 (2012)

  29. Marsan, M.A., Anta, A.F., Mancuso, V., Rengarajan, B., Vasallo, P.R., Rizzo, G.: A simple analytical model for Energy Efficient Ethernet. IEEE Commun. Lett. 15(7), 773–775 (2011)

    Article  Google Scholar 

  30. Mancuso, V., Chatzipapas, A.: On IEEE 802.3az energy efficiency in Web Hosting Centers. IEEE Commun. Lett. 16(11), 1880–1883 (2012)

    Article  Google Scholar 

  31. Herreria-Alonso, S., Rodriguez-Perez, M., Fernandez-Veiga, M., Lopez-Garcia, C.: Optimal configuration of Energy-Efficient Ethernet. Comput. Netw. 56(10), 2456–2467 (2012)

    Article  Google Scholar 

  32. Herreria-Alonso, S., Rodriguez-Perez, M., Fernandez-Veiga, M., Lopez-Garcia, C.: A power saving model for burst transmission in Energy-Efficient Ethernet. IEEE Commun. Lett. 15(5), 584–586 (2011)

    Article  Google Scholar 

  33. Herreria-Alonso, S., Rodriguez-Perez, M., Fernandez-Veiga, M., Lopez-Garcia, C.: How efficient is Energy-Efficient Ethernet? In: The 3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 1–7 (2011)

  34. Maestro, J.A.: Optimize Energy Efficient Ethernet performance in bundled links. EDN network pp. 23–29 (2011)

  35. Mostowfi, M., Christensen, K.: Saving energy in LAN switches: new methods of packet coalescing for Energy Efficient Ethernet. (2011). doi:10.1109/IGCC.2011.6008547

  36. de la Oliva, A., Hernandez, T.R., Guerri, J.C., Hernandez, J.A., Reviriego, P.: Performance analysis of energy efficient ethernet on video streaming servers. Comput. Netw. 57(3), 599–608 (2013)

    Article  Google Scholar 

  37. Reviriego, P., Maestro, J.A., Hernandez, J., Larrabeiti, D.: Study of the potential energy savings in Ethernet by combining Energy Efficient Ethernet and adaptive. Trans. Emerg. Telecommun. Technol. 23(3), 227–233 (2012)

  38. Reviriego, P., Christensen, K., Maestro, J.A.: Using coordinated transmission with Energy Efficient Ethernet. In: Proceedings of the 10th International IFIP TC 6 Conference on Networking- Volume Part I, pp. 160–171 (2011)

  39. Anastasi, G., Conti, M., Gregori, E., Passarella, A.: Saving energy in Wi-Fi hotspots through 802. 11 PSM : an analytical model. In: Proceedings of the Workshop on Linguistic Theory and Grammar Implementation, pp. 24–26 (2004)

  40. Anastasi, G., Conti, M., Gregori, E., Passarella, A.: 802.11 power-saving mode for mobile computing in Wi-Fi hotspots: limitations, enhancements and open issues. Wirel. Netw. 14(6), 745–768 (2007)

    Article  Google Scholar 

  41. Tauber, M., Bhatti, S.N.: The effect of the 802.11 power save mechanism (PSM) on energy efficiency and performance during system activity. In: Proceedings of the IEEE International Conference on Green Computing and Communications (GreenCom) (2012)

  42. Gunaratne, C., Christensen, K., Nordman, B.: Managing energy consumption costs in desktop PCs and LAN switches with proxying, split TCP connections, and scaling of link speed. Int. J. Netw. Manag. 15(5), 297–310 (2005)

    Article  Google Scholar 

  43. Mahadevan, P., Sharma, P., Banerjee, S., Ranganathan, P.: Energy aware network operations. In: IEEE INFOCOM Workshops, pp. 1–6 (2009)

  44. Nedevschi, S., Popa, L., Iannaccone, G., Ratnasamy, S., Wetherall, D.: Reducing network energy consumption via sleeping and rate-adaptation. In: Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation, pp. 323–336 (2008)

  45. Abts, D., Marty, M.R., Wells, P.M., Klausler, P., Liu, H.: Energy proportional datacenter networks. In: Proceedings of the 37th annual international symposium on Computer architecture(ISCA), p. 338. New York, (2010)

  46. Gunaratne, C., Christensen, K., Nordman, B., Suen, S.: Reducing the energy consumption of ethernet with adaptive link rate ( ALR ). IEEE Trans. Comput. 57(4), 448–461 (2008)

    Article  MathSciNet  Google Scholar 

  47. Gunaratne, C., Christensen, K., Suen, S.W.: Ethernet adaptive link rate (ALR): analysis of a buffer threshold policy. In: IEEE Globecom 2006, pp. 1–6. Ieee (2006)

  48. Goma, E., Canini, M., Toledo, A.L., Laoutaris, N., Kosti, D.: Insomnia in the access or How to curb access network related energy consumption. In: Proceedings of the ACM SIGCOMM Conference, pp. 338–349 (2011)

  49. Chabarek, J., Sommers, J., Barford, P., Estan, C., Tsiang, D., Wright, S.: Power awareness in network design and routing. In: IEEE INFOCOM-The 27th Conference on Computer Communications, pp. 457–465 (2008)

  50. Shirayanagi, H., Yamada, H., Kono, K.: Honeyguide: A VM migration-aware network topology for saving energy consumption in data center networks. In: 2012 IEEE Symposium on Computers and Communications (ISCC), pp. 460–467 (2012)

  51. Heller, B., Mahadevan, P.: ElasticTree : saving energy in data center networks. In: The 7th USENIX Conference on Network Systems Design and Implementation(NSDI), pp. 2–17 (2010)

  52. Singh, S., Candy, Y.: Putting the cart before the horse: merging traffic for energy conservation. IEEE Commun. Mag. 49(June), 78–82 (2011)

    Article  Google Scholar 

  53. Yiu, C., Singh, S.: Merging traffic to save energy in the enterprise. In: Proceedings of the 2nd International Conference on Energy-Efficient Computing and Networking (e-Energy), p. 97. New York, (2011)

  54. Li, D., Guo, C., Wu, H., Tan, K., Zhang, Y., Lu, S., Wu, J.: Scalable and cost-effective interconnection of data-center servers using dual server ports. IEEE/ACM Trans. Netw. 19(1), 102–114 (2011)

    Article  Google Scholar 

  55. Shang, Y., Li, D., Xu, M.: A comparison study of energy proportionality of data center network architectures. In: 32nd International Conference on Distributed Computing Systems Workshops, pp. 1–7 (2012)

  56. Oracle. Sun power calculators. http://www.oracle.com/us/products/servers-storage/sun-power-calculators/index.html (2012). Retrieved Aug 2012

  57. Cisco UCS Power Calculator. http://www.cisco.com/assets/cdc_content_elements/flash/dataCenter/cisco_ucs_power_calculator/ (2012). Retrieved Aug 2012

  58. Czajkowski, K., Fitzgerald, S., Foster, I., Kesselman, C.: Grid information services for distributed resource sharing. In: Proceedings. 10th IEEE International Symposium on High Performance Distributed Computing, pp. 181–194 (2001)

  59. Hanemann, A., Boote, J.W., Boyd, E., Dur, J., Kudarimoti, L., Lapacz, R., Swany, D.M., Trocha, S., Zurawski, J.: Perfsonar: a service oriented architecture for multi-domain network monitoring. In: In Proceedings of the Third International Conference on Service Oriented Computing (ICSOC 2005) (2005)

  60. Zhao, Z., Grosso, P., van der Ham, J., Koning, R., de Laat, C.: An agent based network resource planner for workflow applications. Int. J. Multiagent Grid Syst. 7(6), 187–202 (2011)

    Google Scholar 

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Acknowledgments

We would like to thank the FP7 EU funded Integrated project ENVRI project (project number 283465) and the Dutch national and education network SURFnet, through the GigaPort Research on Network (RoN) project, the Dutch national program COMMIT and the NWO-funded project GreenClouds for sponsoring this research. We would also like to thank Cisco and Huawei for lending us their switches. Thanks Dr. Paul Martin from University of Edinburgh for proof reading.

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Authors and Affiliations

  1. University of Amsterdam, Science Park 904, Amsterdam, Netherlands

    Hao Zhu, Karel van der Veldt, Zhiming Zhao, Paola Grosso, Dimitar Pavlov, Joris Soeurt & Cees de Laat

  2. National University of Defense Technology, Changsha, China

    Xiangke Liao

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  1. Hao Zhu
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  2. Karel van der Veldt
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  7. Xiangke Liao
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Correspondence to Zhiming Zhao.

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Zhu, H., van der Veldt, K., Zhao, Z. et al. A semantic enhanced Power Budget Calculator for distributed computing using IEEE 802.3az. Cluster Comput 18, 61–77 (2015). https://doi.org/10.1007/s10586-014-0395-7

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