Autonomic Computing in Cloud Resource Management in Industry 4.0

lt;p> Dr. Tanupriya Choudhury received his bachelor's degree in CSE from West Bengal University of Technology, Kolkata, India, and master's Degree in CSE from Dr. M.G.R University, Chennai, India.He has received his PhD degree in the year 2016. He has Ten years experience in teaching as well as in Research. Currently he is working as an Associate Professor in dept. of CSE at UPES Dehradun. Recently he has received Global Outreach Education Award for Excellence in best Young researcher Award in GOECA 2018 His areas of interests include Human computing,Soft computing,Cloud computing,Data Mining etc.He has filed 14 patents till date and received 16 copyrights from MHRD for his own softwares.He has been associated with many conferences in India and abroad.He has authored more than 85 research papers till date.He has delivered invited talk and guest lecture in Jamia Millia Islamia University , Maharaja Agersen college of Delhi University , Duy Tan University Vietnam etc. He has been associated with many conferences throughout India as TPC member and session chair etc. He is a lifetime member of IETA, member of IEEE, and member of IET(UK) and other renowned technical societies. He is associated with Corporate and he is Technical Adviser of DeetyaSoft Pvt. Ltd. Noida , IVRGURU ,and Mydigital360 etc.He is holding the post of Secretary in IETA (Indian Engineering Teacher's Association-India), He is also holding the Advisor Position in INDO-UK Confederation of Science, Technology and Research Ltd.,London, UK and International Association of Professional and Fellow Engineers-Delaware-USA.

Dr. Bhupesh Kumar Dewangan pursued Bachelor of Technology form Pt Ravi Shankar Shukla University (STATE UNIVERSITY), Raipur and Master of Technology from Chhattisgarh Swami Vivekananda Technical University (STATE TECHNICAL UNIVERSITY), Bhilai in computer science and engineering. Currently he is pursuing PhD in computer science and engineering and Assistant Professor, Department of Informatics, at University of Petroleum and Energy Studies. He has more than 40 research publications in various international journals and conferences with SCI/SCOPUS/UGC indexing. His research interests in Autonomic Cloud Computing, Resource Scheduling, Software Engineering, and Testing. He is a member of various organizations like ISTE, IAPFE, etc.

Dr. Ravi Tomar is currently working in the capacity of Assistant Professor (Selection Grade) in School of Computer Science at University of Petroleum & Energy Studies, Dehradun, India. He is an Experienced Academician with a demonstrated history of working in the higher education industry. Skilled in Programming, Computer Networking, Python, Oracle Database, C++, Core Java, J2EE, RPA and CorDApp. A true believer in hard work and an Indian by heart. His research interests include Wireless Sensor networks, Image Processing, Data Mining and Warehousing, Computer Networks and VANET. He has authored more than 30 papers in different research areas, filled one patent and have authored 2 books. He has Delivered Trainings to corporates nationally and Internationally on RPA, Blockchain, CordaApp, J2EE and IoT to clients like Union Bank of Philippines, Ernst and Young, Deloitte. He is currently working on two consultancy projects on Irrigation and Book ATM. He has conducted International conferences in Paris and Kathmandu.

Dr.Bhupesh Kumar Singh is a Professor in "Faculty computing and software engineering" at the university of Arba Minch University, Arba Minch Ethiopia, He received his Ph.D. Degree in computer science for Birla Institute of Technology, Ranchi Mesra, India in 2013 for his dissertation on "Designing of Agent and Debugger for complex Sketch Recognition". He also holds B.E in computer Engineering for Government college of engineering Tirunelvel

Introduction.-  Introduction to Cloud Resource Management.- Autonomic Computing in Cloud.- Model, and Applications.- Issues and challenges in Autonomic computing and resource management.- The architecture of Autonomic Cloud Resource Management.- A self-adaptable framework to find best optimization techniques.- Healing application against resource failure.- Modelling re-installation components to adapt system configuration.- Self-protection application to defend the malicious request.- Resource management system for scheduling.- Comparative Analysis of various autonomic management systems in the cloud.- Applicability of Autonomic computing in resource management.- Conclusion.