Review Paper on Cloudlet Allocation Policy

  • Rachna AnuragiEmail author
  • Manish Pandey
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 755)


Cloud computing is the service that enables us to use computing resources such as processing entities, storage, and applications as on-demand over the web. It begins to influence many areas, e.g., government, finance, telecommunications, and education. Cloudlet scheduling is a major issue which is greatly influencing the performance of cloud computing environment. The user requests are given to datacenter broker and data center broker allotted user requests to suitable VM with the assistance of cloudlet allocation policy. So, cloudlet allocation policy must be sufficient to execute user request on VM as early as possible because several users wait to execute their request for accessing cloud services. The main aim is to use the resources effectively and get maximum profit. This paper demonstrates review of an existing cloudlet allocation policy that assists in the allocation of cloudlets on the suitable virtual machines (VMs). It utilizes all offered resources effectively and upgrades the QoS. Cloudlet allocation policy uses CloudSim Toolkit-3.0.3 for their implementation by only changing the desired classes.


Cloudlet Quality of service (QoS) Cloud service provider 


  1. 1.
    Foster, I., et al.: Cloud computing and grid computing 360-degree compared in grid computing environments workshop. In: GCE’08. IEEE (2008)Google Scholar
  2. 2.
    Ahmed, M., et al.: An advanced survey on cloud computing and state-of-the-art research issues. Int. J. Comput. Sci. Issues (IJCSI) (2012)Google Scholar
  3. 3.
    Sindhu, S.: Task scheduling in cloud computing. Int. J. Adv. Res. Comput. Eng. Technol. 46, 3019–3023 (2016)Google Scholar
  4. 4.
    Lei, X., Zhe, X., Shao Wu, M., Xiong Yan, T.: Cloud computing and services platform construction of telecom operator. In: Broadband Network & Multimedia Technology, IC-BNMT’09. 2nd IEEE International Conference on Digital Object Identifier, pp. 864–867 (2009)Google Scholar
  5. 5.
    Geetha, V., et al.: Performance comparison of cloudlet scheduling policies. In: International Conference on Emerging Trends in Engineering, Technology and Science (CENTERS). IEEE (2016)Google Scholar
  6. 6.
    Etminani, K., Naghibzadeh, M.: A min-min max-min selective algorithm for grid task scheduling. In The Third IEEE/IFIP International Conference on Internet, Uzbekistan (2007)Google Scholar
  7. 7.
    Banerjee, S., et al.: An approach toward amelioration of a new cloudlet allocation strategy using cloudsim. Arab. J. Sci. Eng. 1–24 (2017)Google Scholar
  8. 8.
    Banerjee, S., et al.: Development and analysis of a new cloudlet allocation strategy for QoS improvement in the cloud. Arab. J. Sci. Eng. 40(5), 1409–1425 (2015)Google Scholar
  9. 9.
    Parsa, S., Reza E.-M.: RASA: a new task scheduling algorithm in a grid environment. World Appl. Sci. J. (Special issue of Computer & IT) 7, 152–160 (2009)Google Scholar
  10. 10.
    Roy, S., et al.: Development and analysis of a three-phase cloudlet allocation algorithm. J. King Saud Univ.-Comput. Inf. Sci. (2016)Google Scholar
  11. 11.
    Al Warafi, M.A., et al.: An improved SJF scheduling algorithm in cloud computing environment. In 2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT). IEEE (2016)Google Scholar
  12. 12.
    Chatterjee, T., et al.: Design and implementation of an improved datacenter broker policy to improve the QoS of a cloud. In: Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014. Springer, Cham (2014)Google Scholar
  13. 13.
    Wickremasinghe, B., Calheiros, R.N., Buyya, R.: Cloud analyst: a cloudsim-based visual modeler for analyzing cloud computing environments and applications. In: 2010 24th IEEE International Conference on Advanced Information Networking and Applications (AINA), pp. 446–452. IEEE (2010)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Maulana Azad National Institute of TechnologyBhopalIndia

Personalised recommendations