An Experimental Evaluation of Running Cost Analysis for Web Application on Cloud Using Queueing Model
N.Neelima1, B.Basaveswar Rao2, K.Gangadhara Rao3, K.Chandan4
1N.Neelima, Assistant Professor, Velagapudi Ramakrishna Siddhartha Engineering College¸ (A.P), India.
2B.Basaveswar Rao, Computer Centre, Acharya Nagarjuna University Guntur (A.P), India.
3K.Gangadhara Rao, Professor, Department of CSE, Acharya Nagarjuna University Guntur (A.P), India.
4K.Chandan, Professor, Department of Statistics, Acharya Nagarjuna University Guntur (A.P), India.
Manuscript received on 18 February 2019 | Revised Manuscript received on 27 February 2019 | Manuscript published on 28 February 2019 | PP: 629-634 | Volume-8 Issue-3, February 2019 | Retrieval Number: C5993028319/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper explores the dynamic behaviour of the Running Cost when Web Application is hosted on the cloud using M/M/S/K queueing model through experimental study. As a part of earlier work the analytical model for Running Cost was proposed and numerically illustrated with respect to virtual machine operation cost and web request holding cost. There is a need to validate this model in real time scenario by conducting a experimental study to design the experimental setup and Test bed for conducting experiments on Amazon EC2 using Elastic Bean Stalk. The performance measures like end-to-end response time, utilization of computing resources consumed, blocking probability, average time spent in the system and average waiting time in the queue are considered to assess the dynamic nature of the cost model. Experimental results are compared with analytical results, it is observed that there is no significance difference between both the results.
Keywords: Cloud Computing, Queueing Theory, Performance Measure, Running Cost
Scope of the Article: Cloud Computing