Specialization : High Performance Computing
HPC Group is providing training, assistance, and support for researchers and students in high performance computing in the institute.
Specific areas of expertise include:
- Task Allocation
- Fault Tolerant Distributed Computing
- Distributed Computing with Multi-Core processing nodes.
Recent Publications:
- Dharmendra Prasad Mahato and Ravi Shankar Singh, Reliability modeling and analysis for deadline-constraint grid service. The 32-nd IEEE International Conference on Advanced Information Networking and Applications, 2018 (Accepted).
- Dharmendra Prasad Mahato and Ravi Shankar Singh, On maximizing reliability of grid transaction processing system considering balanced task allocation using social spider optimization. Swarm and Evolutionary Computation -Elsevier,2017, 5 Year Impact Factor: 7.731, 2017
- Dharmendra Prasad Mahato, Ravi Shankar Singh, Anil Kumar Tripathi, Ashish Kumar Maurya, On Scheduling Transactions in a Grid Processing System considering load through Ant Colony Optimization, Applied Soft Computing -Elsevier, 2017, 5-Year Impact Factor: 3.811
- Santosh Kumar, Sanjay Kumar Singh, Amit Kumar Singh, Shrikant Tiwari, Ravi Shankar Singh, Privacy Preserving Security using Biometrics in Cloud Computing. Multimedia tools and applications-( Springer, IF:1.530 ),(accepted for publication in 2017)
- Dharmendra Prasad Mahat and Ravi Shankar Singh, Maximizing availability for task scheduling in on-demand computing based transaction processing system using ant colony optimization. Concurrency and Computation: Practice and Experience- Wiley, 2017(Accepted), Impact Factor: 1.133
- Dharmendra Prasad Mahato and Ravi Shankar Singh, Balanced task allocation in the on-demand computing-based transaction processing system using social spider optimization. Concurrency and Computation: Practice and Experience- Wiley, 2017, Impact Factor: 1.133
- Dharmendra Prasad Mahato and Ravi Shankar Singh, Load Balanced Transaction Scheduling using Honey Bee Optimization Considering Performability in On-demand Computing System. Concurrency and
Faculty:
