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An Approach Towards Development of a New Cloudlet Allocation Policy with Dynamic Time Quantum

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Abstract

Cloud computing is one of the most emerging technologies which has created a revolution in the High performance Computing (HPC) domain. The term Quality of Service (QoS) plays a vital role in the formation of more flexible integration of various technologies. The Waiting Time (WT), Turnaround Time (TAT), Context Switching (CS) and Makespan (MS) are the primary parameter that has great impact on the scheduling of cloudlets. The Proposed algorithm has improved the resource utilization system of the existing Round Robin Algorithm (RRA) and Improved Round Robin Cloudlet Scheduling Algorithm (IRRCSA) by introducing the concept of dynamically calculated Time Quantum (TQ) for each virtual machine (VM) according to the allocated cloudlets. This new approach in cloudlet scheduling drastically reduced average WT, average TAT and Number of CS of the VMs, which further enhanced the capability of cloud service providers (CSPs) to provide better QoS.

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Authors and Affiliations

  1. Kalyani Government Engineering College, Kalyani, Nadia, 741235, India

    Sourav Banerjee

  2. Institute of Science and Technology, Paschim Medinipur, 721201, India

    Akash Chowdhury & Swastik Mukherjee

  3. University of Kalyani, Kalyani, Nadia, 741235, India

    Utpal Biswas

Authors
  1. Sourav Banerjee
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  2. Akash Chowdhury
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  3. Swastik Mukherjee
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  4. Utpal Biswas
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Correspondence to Sourav Banerjee.

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Banerjee, S., Chowdhury, A., Mukherjee, S. et al. An Approach Towards Development of a New Cloudlet Allocation Policy with Dynamic Time Quantum. Aut. Control Comp. Sci. 52, 208–219 (2018). https://doi.org/10.3103/S0146411618030033

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