Course

Name: Bharanidharan. G

RSL ID: RSL086

Listing Type: Research Excellence

Year: 2022

Volume No.: 2

Issue No.: 1

This listing is for below work :

journal

Predictive Scaling for Elastic Compute Resources on Public Cloud Utilizing Deep Learning based Long Short-term Memory

Area/Stream: Computer Science, Authors: Bharanidharan. G, Dr. S. Jayalakshmi Keywords: Predictive auto-scaling, business intelligence, virtual machines (VM’s), deep learning models; analytics, elasticity, high performance public cloud data centre (HP-PCDC), right sizing
Year:2021, Month:October, Volume: 12, Issue: 10 View Abstract Download File

About Bharanidharan. G:

Bharanidharan. G
Research Scholar
Vels Institute of Science Technology and Advanced Studies (VISTAS), Velan Nagar, P.V. Vaithiyalingam Road, Pallavaram, Chennai
Tamil Nadu - 600 117.

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Mr. Bharanidharan. G carrying his Ph.D Research in the specific area of Green Cloud Computing under the guidance of most respected Dr. S. Jayalaksmi, Professor, Department of Computer Applications, VISTAS, Pallavaram, Chennai after his completion of M.Phil from Vinayaka Mission University, Salem, Tamilnadu. He is actively involved in research to develop a Green framework and to maintain environmental sustainability in cloud infrastructure by provisioning the right resources. He is also currently working as an Assistant Professor in the Department of Computer Applications, The New College (Autonomous), Chennai-4 from 2008-Till date. He was also served as Joint Secretary in the New College Staff Association (NCSA) from 2013-15. Apart from his teaching and research he is a veteran Tamil News Reader in Raj Television, Chennai from 2008 - Till date. His native is Cuddalore which is a coastal town situated near Pondicherry. Cuddalore is famous for silver beach, Paadaleeswarar temple and for renowned schools and colleges. He has completed his school studies in St.Joseph’s Higher Secondary school, Manjakuppam, Cuddalore which is 175 years old. He has graduated his B.Sc. Computer Science (2000-2003) from St.Joseph’s college of Arts and Science, Cuddalore. In his under graduate he served as a Volunteer in Rotract Club to serve the needy people. He was participated in many seminars and one of it to be highlighted was “How to Avoid Corruption for better India?”. In the year of 2004 he moved to Chennai to pursue his PG studies MCA at SRM Engineering College, Kattankulathur Chennai. In the PG level, he participated in various seminars, presented technical papers, participated in talent hunt, Ad-Zap etc. and won the prizes from the colleges like VELS College of Science, Easwari Engineering College etc. He was also worked as a Software Associate in .NET domain and handled various Enterprise application projects like Pfizer, Nerolac, Bacardi in SIFY Technologies, Taramani, Chennai. He was presented papers in the International Conferences such as ISMAC 2020, IndiaCom 2021. He was published nearly 9 papers which were indexed in Scopus and one paper in Web of Science. He was also published a book chapter with ISBN. He was actively participated nearly 172 online National and International webinars, workshops conducted by various prestigious colleges during COVID-19 pandemic period which was helped a lot for implementing some of the ideas given by the technical experts in his research works. He was also received the awards such as Best Research Scholar (2020) and Best Researcher On-going (2021), Best Faculty Award (2021), Research Excellence Award (2022) from Karunanadhar Charitable Trust, Tiruvannamalai, India, Chennai Soft Tech, Chennai and InSc. He was invited as resource person to handle the webinar on “How to Avoid Plagiarism and its Tools?” for Research Scholars, teachers at National Institute of Technical Teachers Training and Research (NITTTR), Taramani, Chennai on 06/01/2022. He has involved with great interest to design a public cloud framework to select optimal VM machine through predictive VM placement and there to do predictive auto-scaling for providing the exact resources to Dev-Ops team for cyclic workloads with elasticity and agility. So that over-provisioning or under provisioning of resources has been avoided to meet the QOS and SLA and to avoid carbon emissions for bringing sustainable environment. Thereby Energy and cost can also be saved by means of right provisioning of resources through anticipating the demand in advance by means of cool visual analytics generated through deep learning by training the model to give accurate results with VM classification and getting exact instance count based on dataset with time stamps which is regression based. He is a proud member of IEEE from 2020, InSc 2022, Computer Society of India (CSI). His area of specialization includes Cloud Computing, Artificial Intelligence and IOT.

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