activity
20152024
most citedCloud, Fog or Edge: Where to Compute?

106 citations · 133 across the 6 of their papers we have counts for

collaborators

6 papers

cs.MM2024★ 2 cited

Towards Low-Latency and Energy-Efficient Hybrid P2P-CDN Live Video Streaming

Reza Farahani, Christian Timmerer, Hermann Hellwagner

Streaming segmented videos over the Hypertext Transfer Protocol (HTTP) is an increasingly popular approach in both live and video-on-demand (VoD) applications. However, designing a…

cs.MM2023★ 11 cited

Transcoding Quality Prediction for Adaptive Video Streaming

Vignesh V Menon, Reza Farahani, Prajit T Rajendran +3

In recent years, video streaming applications have proliferated the demand for Video Quality Assessment VQA). Reduced reference video quality assessment (RR-VQA) is a category of V…

cs.MM2022★ 6 cited

ECAS-ML: Edge Computing Assisted Adaptation Scheme with Machine Learning for HTTP Adaptive Streaming

Jesús Aguilar-Armijo, Ekrem Çetinkaya, Christian Timmerer +1

As the video streaming traffic in mobile networks is increasing, improving the content delivery process becomes crucial, e.g., by utilizing edge computing support. At an edge node,…

cs.DC2021★ 106 cited

Cloud, Fog or Edge: Where to Compute?

Dragi Kimovski, Roland Mathá, Josef Hammer +3

The computing continuum extends the high-performance cloud data centers with energy-efficient and low-latency devices close to the data sources located at the edge of the network.…

cs.AI2016

Stream Reasoning-Based Control of Caching Strategies in CCN Routers

Harald Beck, Bruno Bierbaumer, Minh Dao-Tran +3

Content-Centric Networking (CCN) research addresses the mismatch between the modern usage of the Internet and its outdated architecture. Importantly, CCN routers may locally cache…

cs.NI2015★ 8 cited

SAF: Stochastic Adaptive Forwarding in Named Data Networking

Daniel Posch, Benjamin Rainer, Hermann Hellwagner

Forwarding decisions in classical IP-based networks are predetermined by routing. This is necessary to avoid loops, inhibiting opportunities to implement an adaptive and intelligen…