18 citations · 18 across the 4 of their papers we have counts for
4 papers
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…
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…
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…