Design and implementation of a novel service management framework for IoT devices in cloud. - Chinmaya Kumar Dehury; Prasan Kumar Sahoo (J. Syst. Softw., 2016)

Efficient data and CPU-intensive job scheduling algorithms for healthcare cloud. - Prasan Kumar Sahoo; Chinmaya Kumar Dehury (Comput. Electr. Eng., 2018)

LVRM: On the Design of Efficient Link Based Virtual Resource Management Algorithm for Cloud Platforms. - Prasan Kumar Sahoo; Chinmaya Kumar Dehury; Bharadwaj Veeravalli (IEEE Trans. Parallel Distributed Syst., 2018)

Personalized Service Delivery using Reinforcement Learning in Fog and Cloud Environment. - Chinmaya Kumar Dehury; Satish Narayana Srirama (iiWAS, 2019)

DYVINE: Fitness-Based Dynamic Virtual Network Embedding in Cloud Computing. - Chinmaya Kumar Dehury; Prasan Kumar Sahoo (IEEE J. Sel. Areas Commun., 2019)

An efficient service dispersal mechanism for fog and cloud computing using deep reinforcement learning. - Chinmaya Kumar Dehury; Satish Narayana Srirama (CCGRID, 2020)

Data Pipeline Architecture for Serverless Platform. - Chinmaya Kumar Dehury; Pelle Jakovits; Satish Narayana Srirama; Vasilis Tountopoulos; Giorgos Giotis (ECSA Companion, 2020)

CCoDaMiC: A framework for Coherent Coordination of Data Migration and Computation platforms. - Chinmaya Kumar Dehury; Satish Narayana Srirama; Tek Raj Chhetri (Future Gener. Comput. Syst., 2020)

MUVINE: Multi-Stage Virtual Network Embedding in Cloud Data Centers Using Reinforcement Learning-Based Predictions. - Hiren Kumar Thakkar; Chinmaya Kumar Dehury; Prasan Kumar Sahoo (IEEE J. Sel. Areas Commun., 2020)

DeF-DReL: Systematic Deployment of Serverless Functions in Fog and Cloud environments using Deep Reinforcement Learning. - Chinmaya Kumar Dehury; Shivananda R. Poojara; Shridhar G. Domanal; Satish Narayana Srirama (CoRR, 2021)

TOSCAdata: Modelling data pipeline applications in TOSCA. - Chinmaya Kumar Dehury; Pelle Jakovits; Satish Narayana Srirama; Giorgos Giotis; Gaurav Garg (CoRR, 2021)

CCEI-IoT: Clustered and Cohesive Edge Intelligence in Internet of Things. - Chinmaya Kumar Dehury; Praveen Kumar Donta; Schahram Dustdar; Satish Narayana Srirama (EDGE, 2022)

A Combined System Metrics Approach to Cloud Service Reliability Using Artificial Intelligence. - Tek Raj Chhetri; Chinmaya Kumar Dehury; Artjom Lind; Satish Narayana Srirama; Anna Fensel (Big Data Cogn. Comput., 2022)

Location-aware green energy availability forecasting for multiple time frames in smart buildings: The case of Estonia. - Mehdi Hatamian; Bivas Panigrahi; Chinmaya Kumar Dehury (CoRR, 2022)

Serverless data pipeline approaches for IoT data in fog and cloud computing. - Shivananda R. Poojara; Chinmaya Kumar Dehury; Pelle Jakovits; Satish Narayana Srirama (Future Gener. Comput. Syst., 2022)

TOSCAdata: Modeling data pipeline applications in TOSCA. - Chinmaya Kumar Dehury; Pelle Jakovits; Satish Narayana Srirama; Giorgos Giotis; Gaurav Garg (J. Syst. Softw., 2022)

Failure Aware Semi-Centralized Virtual Network Embedding in Cloud Computing Fat-Tree Data Center Networks. - Chinmaya Kumar Dehury; Prasan Kumar Sahoo (IEEE Trans. Cloud Comput., 2022)

Learning-driven ubiquitous mobile edge computing: Network management challenges for future generation Internet of Things. - Praveen Kumar Donta; Edmundo Monteiro; Chinmaya Kumar Dehury; Ilir Murturi (Int. J. Netw. Manag., 2023)

RRFT: A Rank-Based Resource Aware Fault Tolerant Strategy for Cloud Platforms. - Chinmaya Kumar Dehury; Prasan Kumar Sahoo; Bharadwaj Veeravalli (IEEE Trans. Cloud Comput., 2023)

Stochastic Modeling for Intelligent Software-Defined Vehicular Networks: A Survey. - Banoth Ravi; Blesson Varghese; Ilir Murturi; Praveen Kumar Donta; Schahram Dustdar; Chinmaya Kumar Dehury; Satish Narayana Srirama (Comput., 2023)

Integrating Serverless and DRL for Infrastructure Management in Streaming Data Processing across Edge-Cloud Continuum. - Chinmaya Kumar Dehury; Satish Narayana Srirama (ICDCSW, 2024)

Def-DReL: Towards a sustainable serverless functions deployment strategy for fog-cloud environments using deep reinforcement learning. - Chinmaya Kumar Dehury; Shivananda R. Poojara; Satish Narayana Srirama (Appl. Soft Comput., 2024)

Deep Reinforcement Learning (DRL)-based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions. - Maria Rodriguez Read; Chinmaya Kumar Dehury; Satish Narayana Srirama; Rajkumar Buyya (CoRR, 2024)

Enabling privacy-aware interoperable and quality IoT data sharing with context. - Tek Raj Chhetri; Chinmaya Kumar Dehury; Blesson Varghese; Anna Fensel; Satish Narayana Srirama; Rance J. DeLong (Future Gener. Comput. Syst., 2024)

Learning-driven Data Fabric Trends and Challenges for cloud-to-thing continuum. - Praveen Kumar Donta; Chinmaya Kumar Dehury; Yu-Chen Hu (J. King Saud Univ. Comput. Inf. Sci., 2024)

Securing Clustered Edge Intelligence With Blockchain. - Chinmaya Kumar Dehury; Satish Narayana Srirama; Praveen Kumar Donta; Schahram Dustdar (IEEE Consumer Electron. Mag., 2024)

HeRAFC: Heuristic resource allocation and optimization in MultiFog-Cloud environment. - Chinmaya Kumar Dehury; Bharadwaj Veeravalli; Satish Narayana Srirama (J. Parallel Distributed Comput., 2024)

Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions. - Abhishek Hazra; Andrea Morichetta 002; Ilir Murturi; Lauri Lovén; Chinmaya Kumar Dehury; Victor Casamayor-Pujol; Praveen Kumar Donta; Schahram Dustdar (Computer, 2024)

Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution. - Yunquan Gao; Zhiguo Zhang; Praveen Kumar Donta; Chinmaya Kumar Dehury; Xiujun Wang; Dusit Niyato; Qiyang Zhang (CoRR, 2025)

Spiking Neural Networks in Intelligent Edge Computing. - Guanlei Zhang; Lei Feng 001; Fanqin Zhou; Zhixiang Yang; Qiyang Zhang; Alaa Saleh; Praveen Kumar Donta; Chinmaya Kumar Dehury (IEEE Consumer Electron. Mag., 2025)