A perspective study of virtual machine migration. - Christina Terese Joseph; K. Chandrasekaran 001; Robin Cyriac (ICACCI, 2014)

Machine Learning Approaches for Resource Allocation in the Cloud: Critical Reflections. - Akarsh Murali; Nibir Nirjas Das; Shiv Shankar Sukumaran; K. Chandrasekaran 001; Christina Terese Joseph; John Paul Martin (ICACCI, 2018)

Construing Microservice Architectures: State-of-the-Art Algorithms and Research Issues. - Amit V. Nene; Christina Terese Joseph; K. Chandrasekaran 001 (KMO, 2019)

Fuzzy Reinforcement Learning based Microservice Allocation in Cloud Computing Environments. - Christina Terese Joseph; John Paul Martin; K. Chandrasekaran 001; A. Kandasamy (TENCON, 2019)

Elucidating the challenges for the praxis of fog computing: An aspect-based study. - John Paul Martin; A. Kandasamy; K. Chandrasekaran 001; Christina Terese Joseph (Int. J. Commun. Syst., 2019)

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements. - Christina Terese Joseph; K. Chandrasekaran 001 (Softw. Pract. Exp., 2019)

Concurrency Analysis of Go and Java. - P. Y. Abhinav; Avakash Bhat; Christina Terese Joseph; K. Chandrasekaran 001 (ICCCS, 2020)

IntMA: Dynamic Interaction-aware resource allocation for containerized microservices in cloud environments. - Christina Terese Joseph; K. Chandrasekaran 001 (J. Syst. Archit., 2020)

Machine Learning Powered Autoscaling for Blockchain-Based Fog Environments. - John Paul Martin; Christina Terese Joseph; K. Chandrasekaran 001; A. Kandasamy (BLOCKCHAIN, 2021)

Nature-inspired resource management and dynamic rescheduling of microservices in Cloud datacenters. - Christina Terese Joseph; Kandasamy Chandrasekaran (Concurr. Comput. Pract. Exp., 2021)

Improving Industry 4.0 Readiness: Monolith Application Refactoring using Graph Attention Networks. - Tanisha Rathod; Christina Terese Joseph; John Paul Martin (CCGridW, 2023)

Fog Assisted Personalized Dynamic Pricing for Smartgrid. - Christina Terese Joseph; John Paul Martin; K. Chandrasekaran 001; S. P. Raja 001 (IEEE Trans. Comput. Soc. Syst., 2023)

Enhancing Sleep Apnea Detection with Lightweight Models: Interpretable Convolutional Neural Network Deployed on Raspberry Pi. - Jayadeep J; Christina Terese Joseph; John Paul Martin (HealthCom, 2024)