45 citations · 114 across the 15 of their papers we have counts for
15 papers
Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI
Chinmaya Kumar Dehury, Boris Sedlak, Alaa Saleh +4
We are moving from an information age to the age of intelligence. A decade, or possibly less than that, data will not be the gold anymore rather the derived intelligence out of the…
LLM-assisted Agentic Edge Intelligence Framework
Chinmaya Kumar Dehury, Siddharth Singh Kushwaha, Qiyang Zhang +2
Edge intelligence delivers low-latency inference, yet most edge analytics remain hard-coded and must be redeployed as conditions change. When data patterns shift or new questions a…
Socio-technical aspects of Agentic AI
Praveen Kumar Donta, Alaa Saleh, Ying Li +15
Agentic Artificial Intelligence (AI) represents a fundamental shift in the design of intelligent systems, characterized by interconnected components that collectively enable autono…
Synergizing Monetization, Orchestration, and Semantics in Computing Continuum
Chinmaya Kumar Dehury, Lauri Lovén, Praveen Kumar Donta +2
Industry demands are growing for hyper-distributed applications that span from the cloud to the edge in domains such as smart manufacturing, transportation, and agriculture. Yet to…
Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution
Yunquan Gao, Zhiguo Zhang, Praveen Kumar Donta +4
Deep Neural Networks (DNNs) are increasingly deployed across diverse industries, driving demand for mobile device support. However, existing mobile inference frameworks often rely…
Deep Reinforcement Learning (DRL)-based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions
Maria R. Read, Chinmaya Dehury, Satish Narayana Srirama +1
Streaming applications are becoming widespread across an extensive range of business domains as an increasing number of sources continuously produce data that need to be processed…
Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions
Abhishek Hazra, Andrea Morichetta, Ilir Murturi +5
Zero-touch network is anticipated to inaugurate the generation of intelligent and highly flexible resource provisioning strategies where multiple service providers collaboratively…
HeRAFC: Heuristic Resource Allocation and Optimization in MultiFog-Cloud Environment
Chinmaya Kumar Dehury, Bharadwaj Veeravalli, Satish Narayana Srirama
By bringing computing capacity from a remote cloud environment closer to the user, fog computing is introduced. As a result, users can access the services from more nearby computin…
Location-aware green energy availability forecasting for multiple time frames in smart buildings: The case of Estonia
Mehdi Hatamian, Bivas Panigrahi, Chinmaya Kumar Dehury
Renewable Energies (RE) have gained more attention in recent years since they offer clean and sustainable energy. One of the major sustainable development goals (SDG-7) set by the…
TOSCAdata: Modelling data pipeline applications in TOSCA
Chinmaya Kumar Dehury, Pelle Jakovits, Satish Narayana Srirama +2
The serverless platform allows a customer to effectively use cloud resources and pay for the exact amount of used resources. A number of dedicated open source and commercial cloud…
Serverless data pipeline approaches for IoT data in fog and cloud computing
Shivananda R Poojara, Chinmaya Kumar Dehury, Pelle Jakovits +1
With the increasing number of Internet of Things (IoT) devices, massive amounts of raw data is being generated. The latency, cost, and other challenges in cloud-based IoT data proc…
MUVINE: Multi-stage Virtual Network Embedding in Cloud Data Centers using Reinforcement Learning based Predictions
Hiren Kumar Thakkar, Chinmaya Kumar Dehury, Prasan Kumar Sahoo
The recent advances in virtualization technology have enabled the sharing of computing and networking resources of cloud data centers among multiple users. Virtual Network Embeddin…
Failure Aware Semi-Centralized Virtual Network Embedding in Cloud Computing Fat-Tree Data Center Networks
Chinmaya Kumar Dehury, Prasan Kumar Sahoo
In Cloud Computing, the tenants opting for the Infrastructure as a Service (IaaS) send the resource requirements to the Cloud Service Provider (CSP) in the form of Virtual Network…
RRFT: A Rank-Based Resource Aware Fault Tolerant Strategy for Cloud Platforms
Chinmaya Kumar Dehury, Prasan Kumar Sahoo, Bharadwaj Veeravalli
The applications that are deployed in the cloud to provide services to the users encompass a large number of interconnected dependent cloud components. Multiple identical component…
DeF-DReL: Systematic Deployment of Serverless Functions in Fog and Cloud environments using Deep Reinforcement Learning
Chinmaya Kumar Dehury, Shivananda Poojara, Satish Narayana Srirama
Fog computing is introduced by shifting cloud resources towards the users' proximity to mitigate the limitations possessed by cloud computing. Fog environment made its limited reso…