Formulation of Profit Aware Algorithms for VM Provisioning using Finite Queueing Model
N. Neelima1, B. Basaveswar Rao2, K. Gangadhara Rao3, K. Chandan4
1N. Neelima, Assistant Professor, Velagapudi Ramakrishna Siddhartha Engineering Colleg, (Andhra Pradesh), India.
2B. Basaveswar Rao, Acharya Nagarjuna University, Guntur (Andhra Pradesh), India.
3K. Gangadhara Rao, Acharya Nagarjuna University, Guntur (Andhra Pradesh), India.
4K. Chandan, Acharya Nagarjuna University, Guntur (Andhra Pradesh), India.
Manuscript received on 11 May 2019 | Revised Manuscript received on 19 May 2019 | Manuscript Published on 23 May 2019 | PP: 1633-1639 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F12900476S519/2019©BEIESP
Open Access | Editorial and Publishing 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 analyses the profit model and suggests two auto scaling algorithms for web applications running on cloud using analytical multi sever finite Queueing model. The profit function is formulated and numerically illustrated with two relevant scenarios that will have both qualitative and quantitative bearing on VM provisioning. The important QoS metrics like blocking probability and waiting time in the queue are taken in to consideration. Based on these metrics the profit trend analysis is done and then subsequently the algorithms are used to strategize VM Provisioning. Finally the execution flow of the algorithms and conclusions are presented.
Keywords: Cloud Computing, Queueing Theory, Profit Analysis, VM Provisioning.
Scope of the Article: On-Line And Streaming Algorithms