7 citations · 26 across the 11 of their papers we have counts for
13 papers
DQ-Ladder: A Deep Reinforcement Learning-based Bitrate Ladder for Adaptive Video Streaming
Reza Farahani, Zoha Azimi, Vignesh V Menon +4
Adaptive streaming of segmented video over HTTP typically relies on a predefined set of bitrate-resolution pairs, known as a bitrate ladder. However, fixed ladders often overlook v…
ELLMPEG: An Edge-based Agentic LLM Video Processing Tool
Zoha Azimi, Reza Farahani, Radu Prodan +1
Large language models (LLMs), the foundation of generative AI systems like ChatGPT, are transforming many fields and applications, including multimedia, enabling more advanced cont…
Osmotic Learning: A Self-Supervised Paradigm for Decentralized Contextual Data Representation
Mario Colosi, Reza Farahani, Maria Fazio +2
Data within a specific context gains deeper significance beyond its isolated interpretation. In distributed systems, interdependent data sources reveal hidden relationships and lat…
Serverless Everywhere: A Comparative Analysis of WebAssembly Workflows Across Browser, Edge, and Cloud
Mario Colosi, Reza Farahani, Lauri Loven +2
WebAssembly (Wasm) is a binary instruction format that enables portable, sandboxed, and near-native execution across heterogeneous platforms, making it well-suited for serverless w…
Toward Sustainability-Aware LLM Inference on Edge Clusters
Kolichala Rajashekar, Nafiseh Sharghivand, Radu Prodan +1
Large language models (LLMs) require substantial computational resources, leading to significant carbon emissions and operational costs. Although training is energy-intensive, the…
Fiaingen: A financial time series generative method matching real-world data quality
Jože M. Rožanec, Tina Žezlin, Laurentiu Vasiliu +3
Data is vital in enabling machine learning models to advance research and practical applications in finance, where accurate and robust models are essential for investment and tradi…
Towards AI-Assisted Sustainable Adaptive Video Streaming Systems: Tutorial and Survey
Reza Farahani, Zoha Azimi, Christian Timmerer +1
Improvements in networking technologies and the steadily increasing numbers of users, as well as the shift from traditional broadcasting to streaming content over the Internet, hav…
Scheduling of Distributed Applications on the Computing Continuum: A Survey
Narges Mehran, Dragi Kimovski, Hermann Hellwagner +3
The demand for distributed applications has significantly increased over the past decade, with improvements in machine learning techniques fueling this growth. These applications p…
A Survey on Energy Consumption and Environmental Impact of Video Streaming
Samira Afzal, Narges Mehran, Zoha Azimi Ourimi +4
Climate change challenges require a notable decrease in worldwide greenhouse gas (GHG) emissions across technology sectors. Digital technologies, especially video streaming, accoun…
Comparison of Microservice Call Rate Predictions for Replication in the Cloud
Narges Mehran, Arman Haghighi, Pedram Aminharati +4
Today, many users deploy their microservice-based applications with various interconnections on a cluster of Cloud machines, subject to stochastic changes due to dynamic user requi…
Content-Adaptive Variable Framerate Encoding Scheme for Green Live Streaming
Vignesh V Menon, Samira Afzal, Prajit T Rajendran +3
Adaptive live video streaming applications use a fixed predefined configuration for the bitrate ladder with constant framerate and encoding presets in a session. However, selecting…
Decentralized Machine Learning for Intelligent Health Care Systems on the Computing Continuum
Dragi Kimovski, Sasko Ristov, Radu Prodan
The introduction of electronic personal health records (EHR) enables nationwide information exchange and curation among different health care systems. However, the current EHR syst…
Where to Encode: A Performance Analysis of x86 and Arm-based Amazon EC2 Instances
Roland Mathá, Dragi Kimovski, Anatoliy Zabrovskiy +2
Video streaming became an undivided part of the Internet. To efficiently utilize the limited network bandwidth it is essential to encode the video content. However, encoding is a c…