Task Based Virtual Machine Placement in Cloud
D. Babu Rao1, Ch. Swathi Sri2, V. Rajesh Babu3, S. V. Koteswara Rao4
1D. Babu Rao*, Department of CSE, Koneru Lakshmaiah Educational Foundation, Guntur, India.
2Ch. Swathi Sri, Department of CSE, Koneru Lakshmaiah Educational Foundation, Guntur, India.
3V. Rajesh Babu, Department of CSE, Koneru Lakshmaiah Educational Foundation, Guntur, India.
4S. V. Koteswara Rao, Department of CSE, Koneru Lakshmaiah Educational Foundation, Guntur, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 23, 2020. | Manuscript published on March 10, 2020. | PP: 1994-1996 | Volume-9 Issue-5, March 2020. | Retrieval Number: E3009039520/2020©BEIESP | DOI: 10.35940/ijitee.E3009.039520
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© 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: Cloud computing offers many advantages by optimizing various parameters to meet the complex requirements .Some of the problems of cloud computing are utilization of resources and less energy consumption. More research and resources heterogeneity complicates the consolidation problem inside cloud architecture. VM placement refers to an ideal mapping of a task to virtual machines (VM) and virtual machines to physical machines (PM). The task-based VM placement algorithm is introduced in this research work. Here tasks are divided in accordance with their requirements, and then search for appropriate VM, again searching for appropriate PM, where selected VM could be sent. The algorithm decreases the use of resources by devaluation of the number of dynamic PMs while further decreases the rate of dismissal of make span and assignment. Cloud Sim test System is used to evaluate our algorithm in this research work. The outcomes of this implementation show the effectiveness of some current algorithms such as Round robin and Shortest Job First (SJF) algorithms.
Keywords: Cloud Computing, Cloud Sim, Energy Consumption, VM Placement.
Scope of the Article: Autonomic computing