Stochastic service provisioning in converged optical data center networks and smart grids: 2013 17th International Conference on Optical Networking Design and Modeling, ONDM 2013

M.P. Anastasopoulos, A. Tzanakaki, D. Simeonidou

Research output: Contribution to conferenceOther Conference Contributionpeer-review

1 Citation (Scopus)


The stochastic nature and power fluctuations of renewable energy sources are two major parameters affecting the stability of the power grid. Traditionally, this issue has been addressed through energy storage elements i.e. batteries, having the disadvantages of increased cost and limited operational lifetime. In this paper, it is argued that a cost effective solution to this problem is to orchestrate the operation of Optical Data Center networks and Power Grids. To this end, a novel formulation based on Stochastic Linear Programming that considers jointly the Stochastic Service Provisioning Problem in the Optical Data Center networks and the Continuation Power Flow problem in the Power Grids, is presented. The proposed scheme takes into account both the time variability and uncertainty of cloud services as well the stochastic nature of renewable energy sources. Our modeling results illustrate interesting trade-offs between the stability of the smart grid, the power consumption of the converged optical datacenter networks as well as the utilization of the infrastructure resources. © 2013 IFIP.
Original languageEnglish
Number of pages6
Publication statusPublished - 2013

Bibliographical note

Conference code: 97650

Export Date: 16 March 2016

Correspondence Address: Network Design and Services Group, Athens Information Technology (AIT), Peania, 19002, Greece

Funding Details: EC, European Commission

References: Rappa, M.A., The utility business model and the future of computing systems (2004) IBM Systems Journal, 43 (1), pp. 32-42; Future Datacenter Sustainability Strategy (2011) Executive Strategy Brief, , Microsoft; Dong, X., El-Gorashi, T., Elmirghani, J.M.H., Green IP over WDM Networks: Solar and Wind Renewable Sources and Data Centres Proc. of IEEE GLOBECOM '11; Zhang, Y., GreenWare: Greening Cloud-Scale Data Centers to Maximize the Use of Renewable Energy Proc. of USENIX 2011; Tzanakaki, A., (2011) Proc. IEEE INFOCOM, Workshop on Green Communications and Networking; Guide for Smart Grid Interoperability of Energy Technology and Information Technology Operation with the EPS, and End-Use Applications and Loads, , IEEE 2030; Yan, R., Saha, T.K., Investigation of Voltage Stability for Residential Customers Due to High Photovoltaic Penetrations (2012) IEEE Trans. on Power Systems, 27 (2), pp. 651-662. , May; Klein, L.J., Bermudez, S., Wehle, H.-D., Barabasi, S., Hamann, H.F., Sustainable data centers powered by renewable energy (2012) Proc. of 28th IEEE SEMI-THERM, pp. 362-367. , Mar; Kall, P., Mayer, J., (2005) Stochastic Linear Programming: Models, Theory, and Computation, , Kluwer Academic Publishers; Milano, F., Continuation Power Flow Analysis (2010) Continuation Power Flow Analysis, pp. 103-130. , Springer; Milano, F., An open source power system analysis toolbox (2005) IEEE Transactions on Power Systems, 20 (3), pp. 1199-1206. , DOI 10.1109/TPWRS.2005.851911; Mohsenian-Rad, A.-H., Leon-Garcia, A., Coordination of Cloud Computing and Smart Power Grids Proc. of SmartGridComm 2010; Ghamkhari, M., Mohsenian-Rad, H., Optimal Integration of Renewable Energy Resources in Data Centers with Behind-the-Meter Renewable Generator (2012) Proc. of ICC 2012, pp. 3340-3344. , June; Gattulli, M., Tornatore, M., Fiandra, R., Pattavina, A., Low-Carbon Routing Algorithms For Cloud Computing Services in IP-over-WDM Networks (2012) Proc. of IEEE ICC 2012, pp. 2999-3003. , June; Riera, J.F., Garcia-Espin, J.A., Figuerola, S., Buysse, J., De Leenheer, M., Develder, C., Peng, S., Converged IT and optical network virtualisation: The last (clean-)step towards the Future Internet infrastructure management (2012) Proc. of 7th NOC 2012, pp. 1-5. , June; Anastasopoulos, M.P., Tzanakaki, A., Georgakilas, K., Stochastic Virtual Infrastructure Planning in Elastic Cloud Deploying Optical Networking Proc. of OFC'12, , OW1A.3; Sun, G., Exploring online virtual networks mapping with stochastic bandwidth demand in multi-datacenter (2012) Photonic Network Communications, 23 (2), pp. 109-122; Chaisiri, S., Kaewpuang, R., Bu-Sung, L., Niyato, D., Cost Minimization for Provisioning Virtual Servers in Amazon Elastic Compute Cloud (2011) Proc. of IEEE MASCOTS, pp. 85-95; Chaisiri, S., Optimization of Resource Provisioning Cost in Cloud Computing (2012) IEEE Trans Serv Comput., 5 (2), pp. 164-177; Jong-young, P., Nam, S.-R., Park, J.-K., Control of a ULTC Considering the Dispatch Schedule of Capacitors in a Distribution System (2007) IEEE Trans. Power Syst., pp. 755-761; Bacher, P., Short-term Solar Power Forecasting, , Master's Thesis, Technical University of Denmark, IMM-M.Sc.-2008-13; Wellons, J., Dai, L., Xue, Y., Cui, Y., Augmenting predictive with oblivious routing for wireless mesh networks under traffic uncertainty (2010) Comput. Netw., 54 (2), pp. 178-195. , Feb;, OSG Cloud SubcommitteeWellons, J., Dai, L., Chang, B., Bin, A., Xue, Y., Wireless Mesh Network Routing Under Uncertain Demands (2009) Guide to Wireless Mesh Networks, pp. 171-198. , Edited by S. Misra, S. Misra, I. Woungang, Springer; Davis, Z., Power Consumption and Cooling in the Data Center: A Survey, , pdf; Valancius, V., Greening the internet with nano data centers (2009) Proc. of CoNEXT '09, pp. 37-48; Sun Oracle DataBaseMachine Oracle Data Sheet, ,, Online


  • Continuation power flow
  • Cost-effective solutions
  • Data center networks
  • Infrastructure resources
  • Operational lifetime
  • Renewable energy source
  • Service provisioning
  • Stochastic linear programming
  • Electric power distribution
  • Natural resources
  • Renewable energy resources
  • Smart power grids
  • Stochastic systems


Dive into the research topics of 'Stochastic service provisioning in converged optical data center networks and smart grids: 2013 17th International Conference on Optical Networking Design and Modeling, ONDM 2013'. Together they form a unique fingerprint.

Cite this