Content delivery network security: A survey

M Ghaznavi, E Jalalpour… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
A content delivery network (CDN) is a distributed infrastructure to deliver digital contents to
end users with high performance. CDNs are critical to provide and protect the availability of …

Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers

K Bilal, O Khalid, A Erbad, SU Khan - Computer Networks, 2018 - Elsevier
Advancements in smart devices, wearable gadgets, sensors, and communication paradigm
have enabled the vision of smart cities, pervasive healthcare, augmented reality and …

Taking the edge off with espresso: Scale, reliability and programmability for global internet peering

KK Yap, M Motiwala, J Rahe, S Padgett… - Proceedings of the …, 2017 - dl.acm.org
We present the design of Espresso, Google's SDN-based Internet peering edge routing
infrastructure. This architecture grew out of a need to exponentially scale the Internet edge …

Awstream: Adaptive wide-area streaming analytics

B Zhang, X Jin, S Ratnasamy, J Wawrzynek… - Proceedings of the 2018 …, 2018 - dl.acm.org
The emerging class of wide-area streaming analytics faces the challenge of scarce and
variable WAN bandwidth. Non-adaptive applications built with TCP or UDP suffer from …

Neural adaptive content-aware internet video delivery

H Yeo, Y Jung, J Kim, J Shin, D Han - 13th USENIX Symposium on …, 2018 - usenix.org
Internet video streaming has experienced tremendous growth over the last few decades.
However, the quality of existing video delivery critically depends on the bandwidth resource …

Nemo: enabling neural-enhanced video streaming on commodity mobile devices

H Yeo, CJ Chong, Y Jung, J Ye, D Han - Proceedings of the 26th Annual …, 2020 - dl.acm.org
The demand for mobile video streaming has experienced tremendous growth over the last
decade. However, existing methods of video delivery fall short of delivering high-quality …

Deep reinforcement learning (DRL)-based device-to-device (D2D) caching with blockchain and mobile edge computing

R Zhang, FR Yu, J Liu, T Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Device-to-Device (D2D) caching assists Mobile Edge Computing (MEC) based caching in
offloading inter-domain traffic by sharing cached items with nearby users, while its …

{CFA}: A practical prediction system for video {QoE} optimization

J Jiang, V Sekar, H Milner, D Shepherd… - … USENIX Symposium on …, 2016 - usenix.org
Many prior efforts have suggested that Internet video Quality of Experience (QoE) could be
dramatically improved by using data-driven prediction of video quality for different choices …

Quality of experience-centric management of adaptive video streaming services: Status and challenges

S Petrangeli, JVD Hooft, T Wauters… - ACM Transactions on …, 2018 - dl.acm.org
Video streaming applications currently dominate Internet traffic. Particularly, HTTP Adaptive
Streaming (HAS) has emerged as the dominant standard for streaming videos over the best …

Pytheas: Enabling {Data-Driven} Quality of Experience Optimization Using {Group-Based}{Exploration-Exploitation}

J Jiang, S Sun, V Sekar, H Zhang - 14th USENIX symposium on …, 2017 - usenix.org
Content providers are increasingly using data-driven mechanisms to optimize quality of
experience (QoE). Many existing approaches formulate this process as a prediction problem …