A Novel Approach to Minimize Energy Consumption in Cloud Using Task Consolidation Mechanism

  • Sanjay Kumar GiriEmail author
  • Chhabi Rani Panigrahi
  • Bibudhendu Pati
  • Joy Lal Sarkar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 714)


Task consolidation is a process to increase usage of cloud computing resources. Maximizing the utilization of resources provides numerous advantages like the customization of IT services, quality of service, and candid services. However, increasing the utilization of resources does not mean optimal energy usage. Most of the researches indicate that the consumption of energy and the utilization of resources in clouds are exceptionally conjugated. The idea of performing the consolidation of tasks is to decrease the usage of resources in order to save energy, while another effort is to maintain a balance between the usage of energy and utilization of resources. In this work, we propose an architecture for minimizing energy consumption in cloud. We used an algorithm for task consolidation in the proposed architecture to minimize energy consumption.


Cloud computing Energy consumption Task consolidation 


  1. 1.
    Gunaratne, C., Christensen, K., and Nordman, B.: Managing energy consumption costs in desktop pcs and lan switches with proxying split TCP connections and scaling of link speed. International Journal of Network Management 15 (5), (2005).Google Scholar
  2. 2.
    Song, Y., Zhang, Y., Sun, Y., and Shi, W.: Utility analysis for internet-oriented server consolidation in VM-based data centers. In Proceedings of IEEE International Conference on Cluster Computing, pp. 1–10, (2009).Google Scholar
  3. 3.
    Srikantaiah, S., Kansal, A., and Zhao, F.: Energy Aware consolidation for cloud computing. In Proceedings of the 2008 Conference on Power Aware Computing and Systems, (2008).Google Scholar
  4. 4.
    Torres, J., Carrera, D., Hogan, K., Gavaldà, R., Beltran, V., and Poggi, N.: Reducing wasted resources to help achieve green data centers. In Proceedings of IEEE International Symposium on Parallel and Distributed Processing, pp. 1–8, (2008).Google Scholar
  5. 5.
    Vasic´, N., and Kostic´, D.: Energy-aware traffic engineering. In Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking, pp. 169–178, (2010).Google Scholar
  6. 6.
    Lee, Y. C., and Zomaya, A. Y.: Energy efficient utilization of resources in cloud computing systems. The Journal of Supercomputing, pp. 1–13, (2010).Google Scholar
  7. 7.
    Lien, C.-H., Bai, Y.-W., Lin, M.-B., Chang, C.-Y., and Tsai, M.-Y.: Web server power estimation, modeling and management. In Proceedings of 14th IEEE International Conference on Networks, vol. 2, pp. 1–6, (2006).Google Scholar
  8. 8.
    Lien, C.-H., Liu, M. F., Bai, Y.-W., Lin, C. H., and Lin, M.-B.: Measurement by the software design for the power consumption of streaming media servers. In Proceedings of the IEEE Instrumentation and Measurement Technology Conference, pp. 1597–1602, (2006).Google Scholar
  9. 9.
    Nathuji, R., and Schwan, K.: VirtualPower: coordinated power management in virtualized enterprise systems. In Proceedings of Twenty-First ACM SIGOPS Symposium on Operating Systems Principles, pp. 265–278, (2007).Google Scholar
  10. 10.
    Hsu, C.-H., Slagter, K. D., Chen S.-C., Chung Y.-C.: Optimizing energy consumption with task consolidation in clouds. The information Sciences 258, pp. 452–462, (2014).Google Scholar
  11. 11.
    Alizai, M. H., Kunz, G., Landsiedel, O., and Wehrle, K.: Power to a first-class metric in network simulations. In Proceedings of the Workshop on Energy Aware Systems and Methods, (2010).Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Sanjay Kumar Giri
    • 1
    Email author
  • Chhabi Rani Panigrahi
    • 2
  • Bibudhendu Pati
    • 2
  • Joy Lal Sarkar
    • 3
  1. 1.Department of Computer Science and EngineeringRITEBhubaneswarIndia
  2. 2.Department of Computer ScienceRama Devi Women′s UniversityBhubaneswarIndia
  3. 3.Central University of RajasthanAjmerIndia

Personalised recommendations