Cost-efficient live VM migration based on varying electricity cost in optical cloud networks

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• 作者：Abhishek Gupta ; Uttam Mandal ; Pulak Chowdhury…
• 关键词：ICT ; VM migration ; Dynamic electricity pricing ; Cost savings
• 刊名：Photonic Network Communications
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：30
• 期：3
• 页码：376-386
• 全文大小：2,922 KB
• 参考文献：1.ISO/RTO Council. http://鈥媤ww.鈥媔sorto.鈥媜rg/鈥媋bout/鈥媎efault
  2.Emerson Network Power. White Paper. http://鈥媤ww.鈥媏mersonnetworkpo鈥媤er.鈥媍om/鈥媎ocumentation/鈥媤hite%20鈥媝aper
  3.Liu, H., Jin, H., Xu, C., Liao, X.: Performance and energy modeling for live migration of virtual machines. Cluster Comput. 16, 249鈥?64 (2013)CrossRef
  4.Qureshi, A., Weber, R., Balakrishnan, H., Guttag, J., Maggs, B.: Cutting the electric bill for internet-scale systems. SIGCOMM 39, 123鈥?34 (2009)CrossRef
  5.VMware Technical Paper. www.鈥媐5.鈥媍om/鈥媝df/鈥媤hite-papers/鈥媍loud-vmotion-f5-wp
  6.Wood, T., Ramakrishnan, K., Van Der Merwe, J., Shenoy, P.: Cloudnet: A platform for optimized wan migration of virtual machines, University of Massachusetts Technical Report, TR-2010-002 (2010)
  7.Mandal, U., Habib, M., Zhang, S., Tornatore, M., Mukherjee, B.: Greening the cloud using renewable-energy-aware service migration. IEEE Netw. 27, 36鈥?3 (2013)CrossRef
  8.VMware and F5 Technical Brief. Enabling long distance live migration with f5 and vmware vmotion. https://鈥媐5.鈥媍om/鈥媟esources/鈥媤hite-papers/鈥媏nabling-long-distance-live-migration-with-f5-and-vmware-vmotion
  9.Berl, A., Gelenbe, E., Di Girolamo, M., Giuliani, G., De Meer, H., Dang, M., Pentikousis, K.: Energy-efficient cloud computing. Comput. J. 53, 1045鈥?051 (2010)CrossRef
  10.Baliga, J., Ayre, R., Hinton, K., Tucker, R.: Green cloud computing: balancing energy in processing, storage, and transport. Proc. IEEE 99, 149鈥?67 (2011)CrossRef
  11.Zhang, Y., Chowdhury, P., Tornatore, M., Mukherjee, B.: Energy efficiency in telecom optical networks. IEEE Commun. Surv. Tutor. 12, 441鈥?58 (2010)CrossRef
  12.Liu, Z., Lin, M., Wierman, A., Low, Andrew, S.L.: Greening geographical load balancing. In: Proceedings of ACM SIGMETRICS, pp. 233鈥?44 (2011)
  13.Gattulli, M., Tornatore, M., Fiandra, R., Pattavina, A.: Low-carbon routing algorithms for cloud computing services in IP-over-WDM networks. In: Proceedings of 2012 IEEE International Conference on Communications (ICC), pp. 2999鈥?003 (2012)
  14.Chiaraviglio, L., Mellia, M., Neri, F.: Minimizing ISP network energy cost: formulation and solutions. IEEE/ACM Trans. Netw. 20, 463鈥?76 (2012)CrossRef
  15.Schondienst, T., Davis, D., Plante, J., Vokkarane, V.: Renewable energy-aware manycast overlays, Technical Report, University of Massachusetts Lowell
  16.Rao, L., Liu, X., Xie, L., Liu, W.: Minimizing electricity cost: optimization of distributed internet data centers in a multi-electricity-market environment. In: Proceedings of IEEE INFOCOM (2010)
  17.Le, K., Bianchini, R., Nguyen, T., Bilgir, O., Martonosi, M.: Capping the brown energy consumption of internet services at low cost. In: Proceedings of 2010 IEEE International Green Computing Conference, pp. 3鈥?4 (2010)
  18.Mandal, U., Habib, M., Zhang, S., Tornatore, M., Mukherjee, B.: Bandwidth and routing assignment for virtual machine migration in photonic cloud networks, In: ECOC 2013
  19. http://鈥媤ww.鈥媖sc.鈥媙et/鈥?/span>
  20.Hewlett Packard. Technology Brief, Power efficiency and power management in HP proliant servers. http://鈥媓10032.鈥媤ww1.鈥媓p.鈥媍om/鈥媍tg/鈥媘anual/鈥媍03161908
  21.Baliga, J., Hinton, K., Tucker, R.: Energy Consumption of the Internet. Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne (2011)
  22.Gupta, A., Mandal, U., Chowdhury, P., Tornatore, M., Mukherjee, B.: Cost-efficient live VM migration based on varying electricity cost in optical cloud networks. In: IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (2014)
  
• 作者单位：Abhishek Gupta (1)
  Uttam Mandal (1)
  Pulak Chowdhury (1)
  Massimo Tornatore (1) (2)
  Biswanath Mukherjee (1)
  
  1. Department of Computer Science, University of California, Davis, CA, USA
  2. Politecnico di Milano, Milan, Italy
  
• 刊物主题：Computer Communication Networks; Electrical Engineering; Characterization and Evaluation of Materials;
• 出版者：Springer US
• ISSN：1572-8188

文摘

As cloud services have increased in popularity, Information and Communication Technology (ICT) has been assuming a larger share of worldwide energy consumption. Energy cost resulting from ICT energy consumption contributes a significant part of the operating expenditure for cloud-service providers. We note that the energy cost at a geographical location has a direct correlation to the price of electricity (which may vary with time depending on the location). Different geographical regions of a country, e.g., the USA, may have different electricity prices with variation in prices from one time of the day to another. We show that this spatial and temporal variation in electricity price can be exploited to reduce the operating cost associated with energy consumption. Compute workloads can be relocated to regions with cheaper electricity prices. We consider a multi-datacenter (DC) environment where workloads are virtualized into virtual machines (VMs). In order to move VMs from one DC to another, we employ the live VM migration approach. Our model for cost-efficient VM migration is based on varying electricity prices such that it migrates VMs to DCs with cheaper electricity prices while simultaneously considering multiple parameters such as bandwidth for migration, cost of migration, duration of migration, and number of servers and racks to be switched on/off during each migration period. We find that our model significantly reduces the energy cost associated with cloud-service operation. Keywords ICT VM migration Dynamic electricity pricing Cost savings