S. Tripathy

State-of-the-Art Load Balancing Algorithms for Mist-Fog-Cloud Assisted Paradigm: A Review and Future Directions

D. S. Roy, Rabindra Kumar Barik, J. Sharmila, 2023, Archives of Computational Methods in Engineering.

DeepMist: Toward Deep Learning Assisted Mist Computing Framework for Managing Healthcare Big Data

C. L. Chowdhary, Sujit Bebortta, Shakila Basheer, 2023, IEEE Access.

Secure-M2FBalancer: A Secure Mist to Fog Computing-Based Distributed Load Balancing Framework for Smart City Application

Diptendu Sinha Roy, Rabindra K. Barik, D. S. Roy, 2021, Advances in Communication, Devices and Networking.

PROCESSING OF PRESUMPTION TOP-K INQUIRE IN A TREE STRUCTURED NETWORKS

Dr. C. Nalini, S. Tripathy, 2014 .

A FUZZY LOGIC APPROACH FOR DISTRIBUTED COMPUTATION OF PROBABILISTIC TOP-K QUERIES IN WIRELESS SENSOR NETWORKS

Subhranshu Sekhar Tripathy, Syed Irfan Yaqoob, Nurul Hasan, 2014 .

Cloud GIS Model for Geospatial Bigdata Visualization towards Smart City: A case study of Bhubaneswar, Odisha

D. S. Roy, Rabindra Kumar Barik, S. Tripathy, 2022, 2022 OITS International Conference on Information Technology (OCIT).

An optimal fog-cloud offloading framework for big data optimization in heterogeneous IoT networks

Umar Muhammad Modibbo, Sujit Bebortta, Irfan Ali, 2023, Decision Analytics Journal.

A Novel Edge-Computing-Based Framework for an Intelligent Smart Healthcare System in Smart Cities

A. L. Imoize, Sujit Bebortta, A. Imoize, 2022, Sustainability.

M2FBalancer: A mist-assisted fog computing-based load balancing strategy for smart cities

Diptendu Sinha Roy, Rabindra K. Barik, D. S. Roy, 2021, J. Ambient Intell. Smart Environ..