Chinmaya Kumar Dehury

According to our database, Chinmaya Kumar Dehury authored at least 28 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions.

Abhishek Hazra, Andrea Morichetta, Ilir Murturi, Lauri Lovén, Chinmaya Kumar Dehury, Victor Casamayor-Pujol, Praveen Kumar Donta, Schahram Dustdar

Computer, March, 2024

HeRAFC: Heuristic resource allocation and optimization in MultiFog-Cloud environment.

Chinmaya Kumar Dehury, Bharadwaj Veeravalli, Satish Narayana Srirama

J. Parallel Distributed Comput., January, 2024

Securing Clustered Edge Intelligence With Blockchain.

Chinmaya Kumar Dehury, Satish Narayana Srirama, Praveen Kumar Donta, Schahram Dustdar

IEEE Consumer Electron. Mag., January, 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

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

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

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

Integrating Serverless and DRL for Infrastructure Management in Streaming Data Processing across Edge-Cloud Continuum.

Chinmaya Kumar Dehury, Satish Narayana Srirama

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024, 2024

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., July, 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

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

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

TOSCAdata: Modeling data pipeline applications in TOSCA.

Chinmaya Kumar Dehury, Pelle Jakovits, Satish Narayana Srirama, Giorgos Giotis, Gaurav Garg

J. Syst. Softw., 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

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

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

CCEI-IoT: Clustered and Cohesive Edge Intelligence in Internet of Things.

Chinmaya Kumar Dehury, Praveen Kumar Donta, Schahram Dustdar, Satish Narayana Srirama

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2022

2021

TOSCAdata: Modelling data pipeline applications in TOSCA.

Chinmaya Kumar Dehury, Pelle Jakovits, Satish Narayana Srirama, Giorgos Giotis, Gaurav Garg

CoRR, 2021

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

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

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

Data Pipeline Architecture for Serverless Platform.

Chinmaya Kumar Dehury, Pelle Jakovits, Satish Narayana Srirama, Vasilis Tountopoulos, Giorgos Giotis

Proceedings of the Software Architecture - 14th European Conference, 2020

An efficient service dispersal mechanism for fog and cloud computing using deep reinforcement learning.

Chinmaya Kumar Dehury, Satish Narayana Srirama

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019

DYVINE: Fitness-Based Dynamic Virtual Network Embedding in Cloud Computing.

Chinmaya Kumar Dehury, Prasan Kumar Sahoo

IEEE J. Sel. Areas Commun., 2019

Personalized Service Delivery using Reinforcement Learning in Fog and Cloud Environment.

Chinmaya Kumar Dehury, Satish Narayana Srirama

Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, 2019

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

Efficient data and CPU-intensive job scheduling algorithms for healthcare cloud.

Prasan Kumar Sahoo, Chinmaya Kumar Dehury

Comput. Electr. Eng., 2018

2016

Design and implementation of a novel service management framework for IoT devices in cloud.

Chinmaya Kumar Dehury, Prasan Kumar Sahoo

J. Syst. Softw., 2016