0000-0001-9281-1166 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 45 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 of few International Journals and also in the reviewer’s panel of some International Journals. Dr. Vidyarthi has co-authored three books. First one, a research monograph, entitled “Scheduling in Distributed Computing Systems: Design, Analysis and Models” was published by Springer, USA in 2009. Second 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. The third research monograph by Dr. Vidyarthi is “Auction Based Resource Provisioning in Cloud Computing” published by Springer in the year 2018. Dr. Vidyarthi is the senior 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.
Email- [email protected], [email protected]
Employment
Employment history is unavailable.
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (10)
- Admission Control and Resource Provisioning in Fog‐Integrated Cloud Using Modified Genetic Adaptive Neuro‐Fuzzy Inference System Save
- An efficient fuzzy‐based task offloading in edge‐fog‐cloud architecture Save
- Blockchain based resource allocation in cloud and distributed edge computing: A survey Save
- Admission Control Policies in Fog Computing Using Extensive Form Game Save
- CoFA for QoS based secure communication using adaptive chaos dynamical system in fog-integrated cloud Save
- Intelligent admission control manager for fog‐integrated cloud: A hybrid machine learning approach Save
- A novel energy-efficient scheduling model for multi-core systems Save
- A Truthful and Fair Multi-Attribute Combinatorial Reverse Auction for Resource Procurement in Cloud Computing Save
- Integration of analytic network process with service measurement index framework for cloud service provider selection Save
- An Energy Aware Cost Effective Scheduling Framework for Heterogeneous Cluster System Save