This study paper revolves around the impact of virtualization at the various layers of storage stack. There is a rapid growth in the storage capacity, and hence the processing power in the respective enterprises storage appliances coupled with the requirements for high availability and it needs a Storage Area Network (SAN) architecture for providing the storage and performance elements here. The Storage Virtualization provides us with a combination and management of storage resources for Storage Area Network with multiple servers as well as the storage devices. The main aim for storage virtualization is its necessity to be inexpensive and not affect the performance. Currently, the storage virtualization is displayed at three different architectural levels: (1) the storage device, (2) the host and (3) the SAN fabric hardware as a central management unit. This paper further provides us with more information on the storage virtualization levels that are part of its architecture. Each of these levels that we will see grants us with particular advantages and benefits but is also limited in their capabilities gets considered as their drawbacks or limitations.

Storage, Performance, Virtualization, Network, Storage Virtualization, Storage Area Network (SAN), Network, Attached Storage (NAS), Server, Storage Device (Sub-System), Host, SAN Fabric, Virtual Machine Monitor/ Hypervisor

[1] Jun-wei Ge, Yong-long Deng, Yi-qiu Fang, “Research on Storage Virtualization Structure in Cloud Storage Environment” , Multimedia Technology (ICMT), International Conference, IEEE, 2010.
[2] Aameek Singh, Madhukar Korupolu and Dushmanta Mohapatra, “Server-Storage Virtualization: Integration and Load Balancing in Data Centers”, IEEE, 2008.
[3] Sandeep Kumar and Syam Kumar P, “Secure and efficient design and implementation of out-of-band storage virtualization”, IEEE, 2015.
[4] S. D. Joshi, Naveenkumar Jayakumar, Farid Zeimfar, “Workload Characteristics Impacts on File System Benchmarking”, Int. J. Adv. Res. Computer Sci. Software Eng., vol. 4, no. 2, pp. 39–44, 2014.
[5] N. Jayakumar, S. Singh, S. H. Patil, and S. D. Joshi, “Evaluation Parameters of Infrastructure Resources Required for Integrating Parallel Computing Algorithm and Distributed File System,” IJSTE - Int. J. Sci. Technol. Eng., vol. 1, no. 12, pp. 251–254, 2015.
[6] N. Jayakumar, T. Bhardwaj, K. Pant, S. D. Joshi, and S. H. Patil, “A Holistic Approach for Performance Analysis of Embedded Storage Array.”
[7] D. T. Jayakumar and R. Naveenkumar, “Active Storage,” Int. J. Adv. Res. Computer Sci. Software Eng. Int. J, vol. 2, no. 9, pp. 62–70, 2012.
[8] M. G. Kakamanshadi, M. J. Naveenkumar and S. H. Patil, “A Method to Find Shortest Reliable Path by Hardware Testing and Software Implementation,” Int. J. Eng. Sci., 2011.
[9] N. Kumar, S. Angral and R. Sharma, “Integrating Intrusion Detection System with Network monitoring,” Int. J. Sci. Res. Publ., vol. 4, no. 5, pp. 1–4, 2014.
[10] P. D. S. D. J. Naveenkumar J, “Evaluation of Active Storage System Realized through Mobility RPC,” Int. J. Innov. Res. Computer Commun. Eng., vol. 3, no. 11, pp. 11329–11335, 2015.
[11] S. D. Joshi, Naveenkumar J, “Evaluation of Active Storage System Realized Through Hadoop,” Int. J. Computer Sci. Mob. Computer, vol. 4, no. 12, pp. 67–73, 2015.
[12] J. Naveenkumar, R. Makwana, S. D. Joshi, and D. M. Thakore, “Offloading Compression and Decompression Logic Closer to Video Files Using Remote Procedure Call,” J. Impact Factor, vol. 6, no. 3, pp. 37–45, 2015.
[13] N. J. Rishikesh Salunkhe, “Query Bound Application Offloading: Approach Towards Increase Performance of Big Data Computing,” J. Emerg. Technol. Innov. Res., vol. 3, no. 6, pp. 188–191, 2016.
[14] R. Salunkhe, A. D. Kadam, N. Jayakumar, and S. Joshi, “Luster A Scalable Architecture File System: A Research Implementation on Active Storage Array Framework with Luster File System.” in ICEEOT, 2015.
[15] R. Salunkhe, A. D. Kadam, N. Jayakumar, and D. Thakore, “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.
[16] Naveenkumar J, Sagar S Lad, S. D. Joshi, “Comparison study on Hadoop’s HDFS with Lustre File System,” Int. J. Sci. Eng. Appl. Sci., vol. 1, no. 8, pp. 491–494, 2015.
[17] G. Sullivan, “Virtualization for Storage Efficiency and Centralized Management.”
[18] T. A. Faculty, S. Sivathanu, and I. P. Fulfillment, “Enhancing Storage Performance in Virtualized Environments Enhancing Storage Performance in Virtualized” no. August, 2011.
[19] G. Praveen, “Analysis of Performance in the Virtual Machines Environment,” International J. Adv. Sci. Technol., vol. 32, no. pp. 53–64, 2011.
[20] Press, “Virtualization.” Summary, “How Processor Core Count Impacts Virtualization Performance and Scalability.
[21] 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.
[22] Raval K.S, Suryawanshi R.S, Naveenkumar J and Thakore D.M, 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, 2011.
[23] Archana R.C, Naveenkumar J and Patil, S.H, Iris Image Pre-Processing and Minutiae Points Extraction. International Journal of Computer Science and Information Security, 9(6), p.171, 2011.
[24] BVDUCOE, B.B, Iris Image Pre-Processing and Minutiae Points Extraction. International Journal of Computer Science & Information Security, 2011.
[25] 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.
[26] Naveenkumar J and Joshi S.D, 2015. Evaluation of Active Storage System Realized through Mobility RPC.
[27] Jayakumar D.T and Naveen Kumar, S.D Joshi, “International Journal of Advanced Research in Computer Science and Software Engineering”, Int. J, 2(9), pp.62-70, 2012.
[28] 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.
[29] Jayakumar N, Bhardwaj T, Pant K., Joshi S.D and Patil S.H, A Holistic Approach for Performance Analysis of Embedded Storage Array.
[30] Naveenkumar J, Makwana R, Joshi S.D and Thakore D.M, Offloading Compression and Decompression Logic Closer to Video Files Using Remote Procedure Call, Journal Impact Factor, 6(3), pp.37-45, 2015.
[31] Naveenkumar J, Makwana R, Joshi S.D and Thakore D.M, Performance Impact Analysis of Application Implemented on Active Storage Framework. International Journal, 5(2), 2015.
[32] 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.
[33] Salunkhe R, Kadam A.D, Jayakumar N and Joshi S.D, Luster A Scalable Architecture File System: A Research Implementation on Active Storage Array Framework with Luster File System.
[34] Jayakumar N, Reducts and Discretization Concepts, tools for Predicting Student’s Performance.
[35] Jayakumar M.N, Zaeimfar M.F, Joshi M.M and Joshi S.D, International Journal of Computer Engineering & Technology (IJCET), Journal Impact Factor, 5(1), pp.46-51, 2014.
[36] Kumar N, Angral S and Sharma R, Integrating Intrusion Detection System with Network Monitoring. International Journal of Scientific and Research Publications, 4, pp.1-4, 2014.
[37] Namdeo J and Jayakumar N, Predicting Students Performance Using Data Mining Technique with Rough Set Theory Concepts. International Journal, 2(2), 2014.
[38] 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.
[39] 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.
[40] Naveenkumar J and Raval K.S, Clouds Explained Using Use-Case Scenarios.
[41] Naveenkumar J, S.D Joshi, Evaluation of Active Storage System Realized Through Hadoop. International Journal of Computer Science and Mobile Computing, 4(12), pp.67–73, 2015.
[42] Rishikesh Salunkhe, N.J, Query Bound Application Offloading: Approach Towards Increase Performance of Big Data Computing. Journal of Emerging Technologies and Innovative Research, 3(6), pp.188–191, 2016.
[43] Sagar S Lad, S.D Joshi, N.J, Comparison study on Hadoop’s HDFS with Lustre File System. International Journal of Scientific Engineering and Applied Science, 1(8), pp.491–494, 2015.
[44] Angel, S. et al., End-to-end performance isolation through virtual datacenters. 11th USENIX Symposium on Operating Systems Design and Implementation (OSDI 14), (Vdc), pp.233–248. Available at: http://dl.acm.org/citation.cfm?id=2685048.2685067, 2014.
[45] Cherkasova L & Gardner R, Measuring CPU overhead for I/O processing in the Xen virtual machine monitor. Proceedings of the USENIX annual …, pp.387–390. Available at: http://static.usenix.org/events/usenix05/tech/general/full_papers/short_papers/cherkasova/cherkasova.pdf.
2005.
[46] Paper W, Storage Intelligence in the Network : EMC’s Perspective, 2003.
[47] VMware, Virtualizing Performance-Critical Database Applications in VMware vSphere. VMware, p.8, 2009.
[48] https://www.cs.uic.edu/~jbell/CourseNotes/OperatingSystems/13_IOSystems.html
[49] Durairaj M and Kannan P, A Study On Virtualization Techniques and Challenges in Cloud Computing, International Journal Of Scientific & Technology Research Volume 3, Issue 11, November 2014.
[50] 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.
[51] 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.