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A Survey of Performance Comparison between Virtual Machines and Containers

Prashant Ramchandra Desai1

Section:Survey Paper, Product Type: Journal Paper
Volume-4 , Issue-7 , Page no. 55-59, Jul-2016

Online published on Jul 31, 2016

Copyright © Prashant Ramchandra Desai . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Prashant Ramchandra Desai, “A Survey of Performance Comparison between Virtual Machines and Containers,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.7, pp.55-59, 2016.

MLA Style Citation: Prashant Ramchandra Desai "A Survey of Performance Comparison between Virtual Machines and Containers." International Journal of Computer Sciences and Engineering 4.7 (2016): 55-59.

APA Style Citation: Prashant Ramchandra Desai, (2016). A Survey of Performance Comparison between Virtual Machines and Containers. International Journal of Computer Sciences and Engineering, 4(7), 55-59.

BibTex Style Citation:
@article{Desai_2016,
author = {Prashant Ramchandra Desai},
title = {A Survey of Performance Comparison between Virtual Machines and Containers},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2016},
volume = {4},
Issue = {7},
month = {7},
year = {2016},
issn = {2347-2693},
pages = {55-59},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1000},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1000
TI - A Survey of Performance Comparison between Virtual Machines and Containers
T2 - International Journal of Computer Sciences and Engineering
AU - Prashant Ramchandra Desai
PY - 2016
DA - 2016/07/31
PB - IJCSE, Indore, INDIA
SP - 55-59
IS - 7
VL - 4
SN - 2347-2693
ER -

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Abstract

Since the onset of Cloud computing and its inroads into infrastructure as a service, Virtualization has become peak of importance in the field of abstraction and resource management. However, these additional layers of abstraction provided by virtualization come at a trade-off between performance and cost in a cloud environment where everything is on a pay-per-use basis. Containers which are perceived to be the future of virtualization are developed to address these issues. This study paper scrutinizes the performance of a conventional virtual machine and contrasts them with the containers. We cover the critical assessment of each parameter and its behavior when its subjected to various stress tests. We discuss the implementations and their performance metrics to help us draw conclusions on which one is ideal to use for desired needs. After assessment of the result and discussion of the limitations, we conclude with prospects for future research.

Key-Words / Index Term

Performance, Virtual Machines(VMs), Containers, Virtualization, Kernel Virtual machines (KVM), Docker, Hypervisor

References

[1] Xavier, M.G., Neves, M.V. and De Rose, C.A.F., 2014, February. A performance comparison of container-based virtualization systems for mapreduce clusters. In 2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (pp. 299-306). IEEE.
[2] Soltesz, S., Pötzl, H., Fiuczynski, M.E., Bavier, A. and Peterson, L., 2007, March. Container-based operating system virtualization: a scalable, high-performance alternative to hypervisors. In ACM SIGOPS Operating Systems Review (Vol. 41, No. 3, pp. 275-287). ACM.
[3] Vaughan-Nichols, S.J., 2006. New approach to virtualization is a lightweight.Computer, 39(11), pp.12-14.
[4] Raval, K.S., Suryawanshi, R.S., Naveenkumar, J. and Thakore, D.M., 2011. The Anatomy of a Small-Scale Document Search Engine Tool: Incorporating a new Ranking Algorithm. International Journal of Engineering Science and Technology, 1(3), pp.5802-5808.
[5] Archana, R.C., Naveenkumar, J. and Patil, S.H., 2011. Iris Image Pre-Processing And Minutiae Points Extraction. International Journal of Computer Science and Information Security, 9(6), p.171.
[6] Jayakumar, M.N., Zaeimfar, M.F., Joshi, M.M. and Joshi, S.D., 2014. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (IJCET). Journal Impact Factor, 5(1), pp.46-51.
[7] Naveenkumar, J. and Joshi, S.D., 2015. Evaluation of Active Storage System Realized through MobilityRPC.
[8] Jayakumar, D.T. and Naveenkumar, R., 2012. SDjoshi,“. International Journal of Advanced Research in Computer Science and Software Engineering,” Int. J, 2(9), pp.62-70.
[9] Jayakumar, N., Singh, S., Patil, S.H. and Joshi, S.D., Evaluation Parameters of Infrastructure Resources Required for Integrating Parallel Computing Algorithm and Distributed File System.
[10] Jayakumar, N., Bhardwaj, T., Pant, K., Joshi, S.D. and Patil, S.H., A Holistic Approach for Performance Analysis of Embedded Storage Array.
[11] Naveenkumar, J., Makwana, R., Joshi, S.D. and Thakore, D.M., 2015. OFFLOADING COMPRESSION AND DECOMPRESSION LOGIC CLOSER TO VIDEO FILES USING REMOTE PROCEDURE CALL. Journal Impact Factor, 6(3), pp.37-45.
[12] Naveenkumar, J., Makwana, R., Joshi, S.D. and Thakore, D.M., 2015. Performance Impact Analysis of Application Implemented on Active Storage Framework. International Journal, 5(2).
[13] Salunkhe, R., Kadam, A.D., Jayakumar, N. and Thakore, D., In Search of a Scalable File System State-of-the-art File Systems Review and Map view of new Scalable File system.
[14] Salunkhe, R., Kadam, A.D., Jayakumar, N. and Joshi, S., Luster A Scalable Architecture File System: A Research Implementation on Active Storage Array Framework with Luster file System.
[15] Jayakumar, N., Reducts and Discretization Concepts, tools for Predicting Student’s Performance.
[16] Jayakumar, M.N., Zaeimfar, M.F., Joshi, M.M. and Joshi, S.D., 2014. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (IJCET). Journal Impact Factor, 5(1), pp.46-51.
[17] Kumar, N., Angral, S. and Sharma, R., 2014. Integrating Intrusion Detection System with Network Monitoring. International Journal of Scientific and Research Publications, 4, pp.1-4.
[18] Namdeo, J. and Jayakumar, N., 2014. Predicting Students Performance Using Data Mining Technique with Rough Set Theory Concepts. International Journal, 2(2).
[19] Naveenkumar, J., Keyword Extraction through Applying Rules of Association and Threshold Values. International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), ISSN, pp.2278-1021.
[20] Kakamanshadi, G., Naveenkumar, J. and Patil, S.H., 2011. A Method to Find Shortest Reliable Path by Hardware Testing and Software Implementation. International Journal of Engineering Science and Technology (IJEST), ISSN, pp.0975-5462.
[21] Naveenkumar, J. and Raval, K.S., Clouds Explained Using Use-Case Scenarios.
[22] Naveenkumar J, S.D.J., 2015. Evaluation of Active Storage System Realized Through Hadoop. International Journal of Computer Science and Mobile Computing, 4(12), pp.67–73.
[23] Rishikesh Salunkhe, N.J., 2016. Query Bound Application Offloading: Approach Towards Increase Performance of Big Data Computing. Journal of Emerging Technologies and Innovative Research, 3(6), pp.188–191.
[24] Sagar S lad s d joshi, N.J., 2015. Comparison study on Hadoop’s HDFS with Lustre File System. International Journal of Scientific Engineering and Applied Science, 1(8), pp.491–494.
[25] Salunkhe, R. et al., 2015. In Search of a Scalable File System State-of-the-art File Systems Review and Map view of new Scalable File system. International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) - 2016. pp. 1–8.
[26] Naveenkumar, J. and Raval, K.S., Clouds Explained Using Use-Case Scenarios. INDIACom-2011 Computing for Nation Development, 2011/3.
[27] N. Jayakumar, “Reducts and Discretization Concepts, tools for Predicting Student’s Performance,” Int. J. Eng. Sci. Innov. Technol., vol. 3, no. 2, pp. 7–15, 2014.
[28] BVDUCOE, B.B., 2011. Iris Image Pre-Processing and Minutiae Points Extraction. International Journal of Computer Science & Information Security.
[29] P. D. S. D. J. Naveenkumar J, “Evaluation of Active Storage System Realized through MobilityRPC,” Int. J. Innov. Res. Comput. Commun. Eng., vol. 3, no. 11, pp. 11329–11335, 2015.
[30] Anjali Nigam and Vineet Singh, “Securing Data Transmission in Cloud using Encryption Algorithms”, International Journal of Computer Sciences and Engineering Research Volume 4, Issue 6, June 2016.
[31] Pritika Goel, “An Improved Load Balancing Technique in Weighted Clustering Algorithm”, International Journal of Computer Sciences and Engineering Research Volume 4, Issue 6, June 2016.
[32] Anish Babu S , Hareesh M J , John Paul Martin , Sijo Cherian and Yedhu Sastri.”System Performance evaluation of Paravirtualization, Container virtualization and Full virtualization using Xen, OpenVZ and XenServer” Fourth International Conference on Advances in Computing and Communications.pp 247-250 IEEE 2014