Impact of Virtualization Technologies in the Development and Management of Cloud Applications

Authors

DOI:

https://doi.org/10.18201//ijisae.2019252789

Keywords:

Docker Containers, Hypervisor, Kubernetes, Lightweight VMs, Micro services, Unikernel.

Abstract

Today  almost all consumer services ranging from Banking  to Education, Ticket booking to Hospital Management  are made online.  The on line services are real time  and critical  application  models deployed in clouds. The cloud based applications depends on Datacenters (DCs) for resource management.  The resource utilization model  need to cope with dynamic workload and stochastic request spikes.  Virtualization is the key technology to improve resource utilization cum the deployment of  application services with high portability, isolation, scalability and performance. The goal of this paper is to compare and contrast the performance measures of various virtualization technologies under heterogeneous scenarios and to present their impact in building and deploying application services for the cloud environment. It is noticed that each virtualization technology out performs the other in some or the other performance dimensions. In spite of these differences some virtualization technology dominates the application development industry according to the recent trends and  heterogeneous application requirement of the  consumer service.

 

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Author Biographies

Gowri A S, Pondicherry University.

Department of Computer Science,

School of Engineering and Technology,

Pondicherry University,

Union Territory of Pondicherry,

Puducherry,

India

Dr. Shanthi Bala P, Pondicherry University.

Assistant Professor,

Department of Computer Science,

School of Engineering and Technology,

Pondicherry University,

Union Territory of Pondicherry,

Puducherry,

India

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Published

30.06.2019

How to Cite

A S, G., & P, D. S. B. (2019). Impact of Virtualization Technologies in the Development and Management of Cloud Applications. International Journal of Intelligent Systems and Applications in Engineering, 7(2), 104–110. https://doi.org/10.18201//ijisae.2019252789

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Review