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Performance Evaluations of a Cloud Computing Physical Machine with Task Reneging and Task Resubmission (Feedback)

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Computer Networks (CN 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1231))

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Abstract

Cloud service providers (CSP) provide on-demand cloud computing services, reduces the cost of setting-up and scaling-up IT infrastructure and services, and stimulates shorter establishment times for start-ups that offer or use cloud-based services. Task reneging or dropping sometimes occur when a task waits in the queue longer than its timeout or execution deadline, or it is compromised and must be dropped from the queue or as an active queue management strategy to avoid tail dropping of tasks when the queues are full. Reneged or dropped tasks could be resubmitted provided they were not dropped due to security reasons. In this paper, we present a simple M/M/c/N queueing model of a cloud computing physical machine, where the interarrival times and the services times are exponentially distributed, with N buffer size and c virtual machines running in parallel. We present numerical examples to illustrate the effect of task reneging and task resubmission on the queueing delay, probability of task rejection, and the probability of immediate service.

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Author information

Authors and Affiliations

  1. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Baltycka 5, 44-100, Gliwice, Poland

    Godlove Suila Kuaban

  2. School of Mathematics, Shri Mata Vaishno Devi University, Katra, 182320, Jammu and Kashmir, India

    Bhavneet Singh Soodan & Rakesh Kumar

  3. Department of Computer Graphics, Vision and Digital Systems, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Piotr Czekalski

Authors
  1. Godlove Suila Kuaban
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  2. Bhavneet Singh Soodan
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  3. Rakesh Kumar
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  4. Piotr Czekalski
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Corresponding authors

Correspondence to Bhavneet Singh Soodan , Rakesh Kumar or Piotr Czekalski .

Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Piotr Gaj

  2. Gdańsk University of Technology, Gdańsk, Poland

    Wojciech Gumiński

  3. Silesian University of Technology, Gliwice, Poland

    Andrzej Kwiecień

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Kuaban, G.S., Soodan, B.S., Kumar, R., Czekalski, P. (2020). Performance Evaluations of a Cloud Computing Physical Machine with Task Reneging and Task Resubmission (Feedback). In: Gaj, P., Gumiński, W., Kwiecień, A. (eds) Computer Networks. CN 2020. Communications in Computer and Information Science, vol 1231. Springer, Cham. https://doi.org/10.1007/978-3-030-50719-0_14

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  • DOI: https://doi.org/10.1007/978-3-030-50719-0_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50718-3

  • Online ISBN: 978-3-030-50719-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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