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Development and Analysis of a New Cloudlet Allocation Strategy for QoS Improvement in Cloud

  • Research Article - Computer Engineering and Computer Science
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Abstract

Cloud computing has emerged as a dominant and transformational paradigm in Information technology domain over the last few years. It begins to affect a multitude of industries such as government, finance, telecommunications, and education. The Quality of Service (QoS) of a cloud service provider is an important research field which encompasses different critical issues such as efficient load balancing, response time optimization, completion time improvement, makespan improvement, and reduction in wastage of bandwidth, accountability of the overall system. This paper highlights a new cloudlet allocation policy with suitable load balancing technique that helps in distributing the cloudlets to the virtual machines (VMs) equally likely to their capacity which makes the system more active, alive, and balanced. This reduces the completion time of the cloudlet(s) as well as reduces the makespan of the VM(s) and the host(s) of a data center. Eventually, this proposed work improves the QoS. The experimental results obtained using CloudSim 3.0.3 toolkit extending few base classes are compared and analyzed with several existing allocation policies.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Kalyani Government Engineering College, Kalyani, Nadia, India

    Sourav Banerjee

  2. Department of Computer Science and Engineering, IMPS College of Engineering and Technology, Chandipur, Malda, India

    Mainak Adhikari & Sukhendu Kar

  3. Department of Computer Science and Engineering, University of Kalyani, Kalyani, Nadia, India

    Utpal Biswas

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  1. Sourav Banerjee
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  2. Mainak Adhikari
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  3. Sukhendu Kar
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  4. Utpal Biswas
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Correspondence to Sourav Banerjee.

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Banerjee, S., Adhikari, M., Kar, S. et al. Development and Analysis of a New Cloudlet Allocation Strategy for QoS Improvement in Cloud. Arab J Sci Eng 40, 1409–1425 (2015). https://doi.org/10.1007/s13369-015-1626-9

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