Trust Based VM Consolidation in Cloud Data Centers

  • T. R. Venugopal Anandharajan
  • Marcharla Anjaneyulu Bhagyaveni
Part of the Communications in Computer and Information Science book series (CCIS, volume 420)


Virtualization in Cloud data center, handle workloads and maintain SLA providing a better QoS to the Cloud consumer will lead to the harnessing of the present Cloud Computing infrastructure. Our model is on a statistical property and based on reliability and reputation combined for a “trust” based that we design our algorithms to handle QoS and these algorithms prove better than the existing model. However, the growing demand of the resources (physical) in a data center has drastically increased the energy consumption of computations (cyber) being processed in data centers, which has become a decisive issue. To address the trade-off between performance and power consumption we propose a near-optimal scheduling policy based on the CQR (Composite Quantile Regression) and the Minimum energy heuristics (MPP) to find a trust based Cloud character probability modeling that exploits heterogeneity across multiple data centers for a Cloud provider.


Cyber Physical Systems Trust Management Load Balancing Green IT SLA analysis 


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  1. 1.
    Pettey, C.: Gartner estimates ICT industry accounts for 2 percent of global CO2 emissions (2007)Google Scholar
  2. 2.
    Barroso, L.A., Hölzle, U.: The Case for Energy-Proportional Computing. Computer 40, 33–37 (2007)CrossRefGoogle Scholar
  3. 3.
    Fan, X., Weber, W.D., Barroso, L.A.: Power provisioning for a warehouse-sized computer. ACM SIGARCH Computer Architecture News 35, 13 (2007)CrossRefGoogle Scholar
  4. 4.
    Imada, T., Sato, M., Kimura, H.: Power and QoS performance characteristics of virtualized servers. In: 2009 10th IEEE/ACM International Conference on Grid Computing, pp. 232–240 (2009)Google Scholar
  5. 5.
    Mei, Y., Liu, L., Pu, X., Sivathanu, S., Dong, X.: Performance analysis of network i/o workloads in virtualized data centers (2011)Google Scholar
  6. 6.
    Gao, Y., Guan, H., Qi, Z., Wang, B., Liu, L.: Quality of Service Aware Power Management for Virtualized Data Centers. Journal of Systems Architecture (2013)Google Scholar
  7. 7.
    Wang, L., Wang, H., Cai, L., Chu, R., Zhang, P., Liu, L.: A Hierarchical Memory Service Mechanism in Server Consolidation Environment. In: 2011 IEEE 17th International Conference on Parallel and Distributed Systems (ICPADS), pp. 40–47 (2011)Google Scholar
  8. 8.
    Anandharajan, T.R.V., Bhargavan, D., Bhagyaveni, M.A.: VM Consolidation Techniques in Cloud Datacenter. Journal of Theoretical and Applied Information Technology 53, 267–273 (2013)Google Scholar
  9. 9.
    Anandharajan, T.R.V., Bhagyaveni, M.A.: Co-operative Scheduled Energy Aware Load-Balancing technique for an Efficient Computational Cloud. International Journal of Computer Science Issues 8, 571–576 (2011)Google Scholar
  10. 10.
    Zou, H., Yuan, M.: Composite quantile regression and the oracle model selection theory. The Annals of Statistics 36, 1108–1126 (2008)CrossRefzbMATHMathSciNetGoogle Scholar
  11. 11.
    Buyya, R., Ranjan, R., Calheiros, R.N.: Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities. In: International Conference on High Performance Computing & Simulation, HPCS 2009, pp. 1–11 (2009)Google Scholar
  12. 12.
    Park, K.S., Pai, V.S.: CoMon: a mostly-scalable monitoring system for PlanetLab. ACM SIGOPS Operating Systems Review 40, 65–74 (2006)CrossRefGoogle Scholar
  13. 13.
    Beloglazov, A., Buyya, R.: Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers. Concurrency and Computation: Practice and Experience 24(13), 1397–1420 (2012)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • T. R. Venugopal Anandharajan
    • 1
  • Marcharla Anjaneyulu Bhagyaveni
    • 1
  1. 1.Department of ECE, College of Engineering, GuindyAnna UniversityChennaiIndia

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