Chinmaya Kumar Dehury

38 papers B 1C 1Journal 33Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Socio-technical aspects of Agentic AI.
CoRR
Praveen Kumar Donta, Alaa Saleh, Ying Li, Shubham Vaishnav, Kai Fang, Hailin Feng, Yuchao Xia, Thippa Reddy Gadekallu, Qiyang Zhang, Xiaodan Shi, Ali Beikmohammadi, Sindri Magnússon, Ilir Murturi, Chinmaya Kumar Dehury, Marcin Paprzycki, Lauri Lovén, Sasu Tarkoma, Schahram Dustdar
2025 J jnl
Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution.
CoRR
Yunquan Gao, Zhiguo Zhang, Praveen Kumar Donta, Chinmaya Kumar Dehury, Xiujun Wang, Dusit Niyato, Qiyang Zhang
2025 J jnl
Spiking Neural Networks in Intelligent Edge Computing.
IEEE Consumer Electron. Mag.
Guanlei Zhang, Lei Feng, Fanqin Zhou, Zhixiang Yang, Qiyang Zhang, Alaa Saleh, Praveen Kumar Donta, Chinmaya Kumar Dehury
2025 J jnl
Synergizing Monetization, Orchestration, and Semantics in Computing Continuum.
CoRR
Chinmaya Kumar Dehury, Lauri Lovén, Praveen Kumar Donta, Ilir Murturi, Schahram Dustdar
2024 J jnl
Deep Reinforcement Learning (DRL)-based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions.
CoRR
Maria Rodriguez Read, Chinmaya Kumar Dehury, Satish Narayana Srirama, Rajkumar Buyya
2024 J jnl
Def-DReL: Towards a sustainable serverless functions deployment strategy for fog-cloud environments using deep reinforcement learning.
Appl. Soft Comput.
Chinmaya Kumar Dehury, Shivananda R. Poojara, Satish Narayana Srirama
2024 J jnl
Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions.
Computer
Abhishek Hazra, Andrea Morichetta, Ilir Murturi, Lauri Lovén, Chinmaya Kumar Dehury, Víctor Casamayor-Pujol, Praveen Kumar Donta, Schahram Dustdar
2024 J jnl
Enabling privacy-aware interoperable and quality IoT data sharing with context.
Future Gener. Comput. Syst.
Tek Raj Chhetri, Chinmaya Kumar Dehury, Blesson Varghese, Anna Fensel, Satish Narayana Srirama, Rance J. DeLong
2024 J jnl
HeRAFC: Heuristic resource allocation and optimization in MultiFog-Cloud environment.
J. Parallel Distributed Comput.
Chinmaya Kumar Dehury, Bharadwaj Veeravalli, Satish Narayana Srirama
2024 — conf
Integrating Serverless and DRL for Infrastructure Management in Streaming Data Processing across Edge-Cloud Continuum.
ICDCSW
Chinmaya Kumar Dehury, Satish Narayana Srirama
2024 J jnl
Learning-driven Data Fabric Trends and Challenges for cloud-to-thing continuum.
J. King Saud Univ. Comput. Inf. Sci.
Praveen Kumar Donta, Chinmaya Kumar Dehury, Yu-Chen Hu
2024 J jnl
Securing Clustered Edge Intelligence With Blockchain.
IEEE Consumer Electron. Mag.
Chinmaya Kumar Dehury, Satish Narayana Srirama, Praveen Kumar Donta, Schahram Dustdar
2023 J jnl
Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions.
CoRR
Abhishek Hazra, Andrea Morichetta, Ilir Murturi, Lauri Lovén, Chinmaya Kumar Dehury, Víctor Casamayor-Pujol, Praveen Kumar Donta, Schahram Dustdar
2023 J jnl
HeRAFC: Heuristic Resource Allocation and Optimization in MultiFog-Cloud Environment.
CoRR
Chinmaya Kumar Dehury, Bharadwaj Veeravalli, Satish Narayana Srirama
2023 J jnl
Learning-driven ubiquitous mobile edge computing: Network management challenges for future generation Internet of Things.
Int. J. Netw. Manag.
Praveen Kumar Donta, Edmundo Monteiro, Chinmaya Kumar Dehury, Ilir Murturi
2023 J jnl
RRFT: A Rank-Based Resource Aware Fault Tolerant Strategy for Cloud Platforms.
IEEE Trans. Cloud Comput.
Chinmaya Kumar Dehury, Prasan Kumar Sahoo, Bharadwaj Veeravalli
2023 J jnl
Stochastic Modeling for Intelligent Software-Defined Vehicular Networks: A Survey.
Comput.
Banoth Ravi, Blesson Varghese, Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar, Chinmaya Kumar Dehury, Satish Narayana Srirama
2022 J jnl
A Combined System Metrics Approach to Cloud Service Reliability Using Artificial Intelligence.
Big Data Cogn. Comput.
Tek Raj Chhetri, Chinmaya Kumar Dehury, Artjom Lind, Satish Narayana Srirama, Anna Fensel
2022 — conf
CCEI-IoT: Clustered and Cohesive Edge Intelligence in Internet of Things.
EDGE
Chinmaya Kumar Dehury, Praveen Kumar Donta, Schahram Dustdar, Satish Narayana Srirama
2022 J jnl
Failure Aware Semi-Centralized Virtual Network Embedding in Cloud Computing Fat-Tree Data Center Networks.
IEEE Trans. Cloud Comput.
Chinmaya Kumar Dehury, Prasan Kumar Sahoo
2022 J jnl
Location-aware green energy availability forecasting for multiple time frames in smart buildings: The case of Estonia.
CoRR
Mehdi Hatamian, Bivas Panigrahi, Chinmaya Kumar Dehury
2022 J jnl
Serverless data pipeline approaches for IoT data in fog and cloud computing.
Future Gener. Comput. Syst.
Shivananda R. Poojara, Chinmaya Kumar Dehury, Pelle Jakovits, Satish Narayana Srirama
2022 J jnl
TOSCAdata: Modeling data pipeline applications in TOSCA.
J. Syst. Softw.
Chinmaya Kumar Dehury, Pelle Jakovits, Satish Narayana Srirama, Giorgos Giotis, Gaurav Garg
2021 J jnl
DeF-DReL: Systematic Deployment of Serverless Functions in Fog and Cloud environments using Deep Reinforcement Learning.
CoRR
Chinmaya Kumar Dehury, Shivananda R. Poojara, Shridhar G. Domanal, Satish Narayana Srirama
2021 J jnl
Failure Aware Semi-Centralized Virtual Network Embedding in Cloud Computing Fat-Tree Data Center Networks.
CoRR
Chinmaya Kumar Dehury, Prasan Kumar Sahoo
2021 J jnl
MUVINE: Multi-stage Virtual Network Embedding in Cloud Data Centers using Reinforcement Learning based Predictions.
CoRR
Hiren Kumar Thakkar, Chinmaya Kumar Dehury, Prasan Kumar Sahoo
2021 J jnl
RRFT: A Rank-Based Resource Aware Fault Tolerant Strategy for Cloud Platforms.
CoRR
Chinmaya Kumar Dehury, Prasan Kumar Sahoo, Bharadwaj Veeravalli
2021 J jnl
Serverless data pipeline approaches for IoT data in fog and cloud computing.
CoRR
Shivananda R. Poojara, Chinmaya Kumar Dehury, Pelle Jakovits, Satish Narayana Srirama
2021 J jnl
TOSCAdata: Modelling data pipeline applications in TOSCA.
CoRR
Chinmaya Kumar Dehury, Pelle Jakovits, Satish Narayana Srirama, Giorgos Giotis, Gaurav Garg
2020 B conf
An efficient service dispersal mechanism for fog and cloud computing using deep reinforcement learning.
CCGRID
Chinmaya Kumar Dehury, Satish Narayana Srirama
2020 J jnl
CCoDaMiC: A framework for Coherent Coordination of Data Migration and Computation platforms.
Future Gener. Comput. Syst.
Chinmaya Kumar Dehury, Satish Narayana Srirama, Tek Raj Chhetri
2020 — conf
Data Pipeline Architecture for Serverless Platform.
ECSA Companion
Chinmaya Kumar Dehury, Pelle Jakovits, Satish Narayana Srirama, Vasilis Tountopoulos, Giorgos Giotis
2020 J jnl
MUVINE: Multi-Stage Virtual Network Embedding in Cloud Data Centers Using Reinforcement Learning-Based Predictions.
IEEE J. Sel. Areas Commun.
Hiren Kumar Thakkar, Chinmaya Kumar Dehury, Prasan Kumar Sahoo
2019 J jnl
DYVINE: Fitness-Based Dynamic Virtual Network Embedding in Cloud Computing.
IEEE J. Sel. Areas Commun.
Chinmaya Kumar Dehury, Prasan Kumar Sahoo
2019 C conf
Personalized Service Delivery using Reinforcement Learning in Fog and Cloud Environment.
iiWAS
Chinmaya Kumar Dehury, Satish Narayana Srirama
2018 J jnl
Efficient data and CPU-intensive job scheduling algorithms for healthcare cloud.
Comput. Electr. Eng.
Prasan Kumar Sahoo, Chinmaya Kumar Dehury
2018 J jnl
LVRM: On the Design of Efficient Link Based Virtual Resource Management Algorithm for Cloud Platforms.
IEEE Trans. Parallel Distributed Syst.
Prasan Kumar Sahoo, Chinmaya Kumar Dehury, Bharadwaj Veeravalli
2016 J jnl
Design and implementation of a novel service management framework for IoT devices in cloud.
J. Syst. Softw.
Chinmaya Kumar Dehury, Prasan Kumar Sahoo