0000-0003-4151-0552 About
Deo Prakash Vidyarthi is Professor in the School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India. Dr. Vidyarthi has published around 125 research papers in various International Journals and Transactions (including IEEE, Elsevier, Springer, Wiley, World Scientific etc.) and around 50 research papers in the proceedings of various peer-reviewed conferences in India and abroad. He has contributed many chapters and articles in various edited volumes/magazines. He is in the editorial board and also in the reviewer’s panel of many International Journals. Dr. Vidyarthi has co-authored a book (research monograph) entitled “Scheduling in Distributed Computing Systems: Design, Analysis and Models” published by Springer, USA released in 2009. Another book (edited) by Dr. Vidyarthi is “Technologies and Protocols for the Future Internet Design: Reinventing the Web”, by IGI-Global (USA) released in the year 2012. His another book published in the year 2018 is a Springer Brief on “Auction Based Resource Provisioning in Cloud Computing”. Dr. Vidyarthi is the member of the IEEE, ACM, International Society of Research in Science and Technology (ISRST), USA, senior member of the International Association of Computer Science and Information Technology (IACSIT), Singapore and International Association of Engineers (IAENG).
His research interest includes Parallel and Distributed System, Grid and Cloud Computing, Mobile Computing, Internet of Things, Evolutionary Computing.
Employment
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Jawaharlal Nehru University Professor2004 - Present
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Banaras Hindu University Teaching/Research1991 - 2004
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (57)
- Communication-Aware Fog Device Deployment in Edge-Fog-Cloud Systems Using Jaya Algorithm Save
- Energy-efficient communication-aware VM placement in cloud datacenter using JAYA Save
- Empowering Health Insurance with Personalization: A Comprehensive Architecture Leveraging Federated Learning and BlockChain Save
- Securing Digital Integrity: Proposed Comprehensive Framework for Deepfake Detection and Blockchain Validation Save
- Intelligent Task Offloading: Reducing Delay and Offloading Failure Using Predictive Resource Allocation and Deep Reinforcement Learning (ITO-PDR) Save
- PMRNA: Parameter matching of realtime and non‐realtime applications for resource provisioning in fog‐integrated cloud Save
- Optimizing fog device deployment for maximal network connectivity and edge coverage using metaheuristic algorithm Save
- A hybrid model using JAYA-GA metaheuristics for placement of fog nodes in fog-integrated cloud Save
- An ML‐based task clustering and placement using hybrid Jaya‐gray wolf optimization in fog‐cloud ecosystem Save
- FNSS: A Heuristics for Fog Node Site Selection Save