Haranath Rakshit

@visvabharati.ac.in

Senior Research Fellow at Department of Computer and System Sciences, Siksha-Bhavana, Visva-Bharati
Visva-Bharati University

Haranath Rakshit


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https://researchid.co/hrcs-research
Haranath Rakshit, Research Scholar (UGC-NET SRF) in Computer and System Sciences at Visva-Bharati University, working on secure and scalable Edge AI systems for distributed IoT environments. My research lies at the intersection of intelligent systems, distributed computing, and applied security, with a focus on designing, deploying, and securing real-time AI pipelines from edge devices to cloud infrastructure. I study Edge Computing architectures for low-latency intelligence, develop adaptive Edge AI models (including TinyML and on-device learning), and apply Machine Learning techniques for optimization and lifecycle management. My work also extends to containerized, cloud-native orchestration using Docker–Kubernetes for scalable deployment, alongside applied cryptographic mechanisms to ensure secure communication, identity management, and data protection across IoT–Edge–Cloud ecosystems.

EDUCATION

Ph.D. in Computer Science (Pursuing) [2022-2027] from Visva-Bharati University

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Information Systems, Artificial Intelligence, Software
2

Scopus Publications

3

Scholar Citations

1

Scholar h-index

Scopus Publications

  • Optimizing the Efficiency of Computational Platforms: Traditional vs. Containerized Setups
    Haranath Rakshit, Subhasis Banerjee
    Proceedings of 2025 3rd International Conference on Intelligent Systems Advanced Computing and Communication Isacc 2025, 2025
    Optimizing computational platforms in digital labs is vital for education, research, and enterprise applications. Traditional setups face resource inefficiencies, scalability constraints, and configuration conflicts, hindering performance. This paper compares traditional and containerized setups using Docker and Kubernetes, evaluating metrics such as CPU usage, memory consumption, latency, and setup time. Results reveal containerization reduces CPU usage by 23%, memory by 34%, latency by 40%, and setup time by 80%, while improving scalability by 140%. Proxy containers and orchestration effectively resolve MySQL plugin mismatches, ensuring uninterrupted operation and efficient resource utilization. These findings underscore containerization’s role in enhancing digital lab efficiency, scalability, and adaptability. Future research will focus on AI-driven orchestration techniques and advanced network policies to address challenges in multi-container environments.
  • Scalability Evaluation on Zero Downtime Deployment in Kubernetes Cluster
    Haranath Rakshit, Subhasis Banerjee
    2024 IEEE Calcutta Conference Calcon 2024 Proceedings, 2024
    This article investigates the relative impact of zero downtime deployment strategies on the scalability of applications within Kubernetes clusters. Ensuring uninterrupted service delivery while managing changing workloads is crucial in modern software development. Strategies like rolling updates, blue-green deployments, and canary releases enable seamless updates without service interruptions. However, their comparison implications on application scalability in Kubernetes clusters remain understudied. We conducted an in-depth comparative analysis of these deployment strategies, assessing their performance on scalability patterns, performance metrics, resource utilization, and operational metrics. Our findings offer valuable insights into the effectiveness of zero downtime deployment strategies for scalable application delivery in Kubernetes environments. Understanding these relative impacts helps organizations make informed decisions for resilient and scalable application management.

RECENT SCHOLAR PUBLICATIONS

  • Lightweight Session-Key Rekeying Framework for Secure IoT-Edge Communication
    H Rakshit, R Bhandari, S Banerjee
    arXiv preprint arXiv:2511.02924 , 2025
    2025
  • Flexible Hybrid Cryptosystem HRSE for Education, Experimentation and Innovation
    H Rakshit, S Banerjee
    2025
  • Hybrid Resilience (H/R) Testing Model: AI-Driven Zero Downtime Deployment for Kubernetes
    H Rakshit, S Banerjee
    2025
  • Optimizing the Efficiency of Computational Platforms: Traditional vs. Containerized Setups
    H Rakshit, S Banerjee
    2025 3rd International Conference on Intelligent Systems, Advanced Computing … , 2025
    2025
  • Scalability evaluation on zero downtime deployment in kubernetes cluster
    H Rakshit, S Banerjee
    2024 IEEE Calcutta Conference (CALCON), 1-5 , 2024
    2024
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • Scalability evaluation on zero downtime deployment in kubernetes cluster
    H Rakshit, S Banerjee
    2024 IEEE Calcutta Conference (CALCON), 1-5 , 2024
    2024
    Citations: 3
  • Lightweight Session-Key Rekeying Framework for Secure IoT-Edge Communication
    H Rakshit, R Bhandari, S Banerjee
    arXiv preprint arXiv:2511.02924 , 2025
    2025
  • Flexible Hybrid Cryptosystem HRSE for Education, Experimentation and Innovation
    H Rakshit, S Banerjee
    2025
  • Hybrid Resilience (H/R) Testing Model: AI-Driven Zero Downtime Deployment for Kubernetes
    H Rakshit, S Banerjee
    2025
  • Optimizing the Efficiency of Computational Platforms: Traditional vs. Containerized Setups
    H Rakshit, S Banerjee
    2025 3rd International Conference on Intelligent Systems, Advanced Computing … , 2025
    2025

Publications

Conference Paper: (published)
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Document Title: "Scalability Evaluation on Zero Downtime Deployment in Kubernetes Cluster"
Authors: Haranath Rakshit, Subhasis Banerjee


Published in: 2024 IEEE Calcutta Conference (CALCON)


Document Title: "Optimizing the Efficiency of Computational Platforms: Traditional vs. Containerized Setups"
Authors: Haranath Rakshit; Subhasis Banerjee


Published in: 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)


Pre-Print:
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Research Article: "Hybrid Resilience (H/R) Testing Model: AI-Driven Zero Downtime Deployment for Kubernetes"
Authors: Haranath Rakshit, Subhasis Banerjee

GRANT DETAILS

Awarded Grants:
----------------------
Grant Title: Junior Research Fellowship (JRF)
Granting Agency: University Grants Commission (UGC), Government of India
Grant Number / Reference ID: 210510078094
Awardee Name: Haranath Rakshit
Date of Award: 12 March 2022
Funding Duration: 5 years from Ph.D. admission date (20/09/2022)
Field of Research: Computer Science and Applications