The {CacheLib} caching engine: Design and experiences at scale

B Berg, DS Berger, S McAllister, I Grosof… - … USENIX Symposium on …, 2020 - usenix.org
Web services rely on caching at nearly every layer of the system architecture. Commonly,
each cache is implemented and maintained independently by a distinct team and is highly …

[HTML][HTML] Learning relaxed belady for content distribution network caching

Z Song, DS Berger, K Li, A Shaikh, W Lloyd… - … USENIX Symposium on …, 2020 - usenix.org
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Information Registration Discounts Student Grant Application Diversity Grant Application …

{ARTEMIS}: Adaptive Bitrate Ladder Optimization for Live Video Streaming

F Tashtarian, A Bentaleb, H Amirpour… - … USENIX Symposium on …, 2024 - usenix.org
Live streaming of segmented videos over the Hypertext Transfer Protocol (HTTP) is
increasingly popular and serves heterogeneous clients by offering each segment in multiple …

{SIEVE} is Simpler than {LRU}: an Efficient {Turn-Key} Eviction Algorithm for Web Caches

Y Zhang, J Yang, Y Yue, Y Vigfusson… - 21st USENIX Symposium …, 2024 - usenix.org
Caching is an indispensable technique for low-cost and fast data serving. The eviction
algorithm, at the heart of a cache, has been primarily designed to maximize efficiency …

Rl-cache: Learning-based cache admission for content delivery

V Kirilin, A Sundarrajan, S Gorinsky… - Proceedings of the 2019 …, 2019 - dl.acm.org
Content delivery networks (CDNs) distribute much of the Internet content by caching and
serving the objects requested by users. A major goal of a CDN is to maximize the hit rates of …

Pruning edge research with latency shears

N Mohan, L Corneo, A Zavodovski, S Bayhan… - Proceedings of the 19th …, 2020 - dl.acm.org
Edge computing has gained attention from both academia and industry by pursuing two
significant challenges: 1) moving latency critical services closer to the users, 2) saving …

Park: An open platform for learning-augmented computer systems

H Mao, P Negi, A Narayan, H Wang… - Advances in …, 2019 - proceedings.neurips.cc
We present Park, a platform for researchers to experiment with Reinforcement Learning (RL)
for computer systems. Using RL for improving the performance of systems has a lot of …

Towards lightweight and robust machine learning for cdn caching

DS Berger - Proceedings of the 17th ACM Workshop on Hot Topics …, 2018 - dl.acm.org
Recent advances in the field of reinforcement learning promise a general approach to
optimize networking systems. This paper argues against the recent trend for generalization …

Remote peering: More peering without internet flattening

I Castro, JC Cardona, S Gorinsky… - Proceedings of the 10th …, 2014 - dl.acm.org
The trend toward more peering between networks is commonly conflated with the trend of
Internet flattening, ie, reduction in the number of intermediary organizations on Internet …

A comprehensive model for web sites quality

O Signore - Seventh IEEE International Symposium on Web …, 2005 - ieeexplore.ieee.org
Many of existing criteria for evaluating Web sites quality require methods such as heuristic
evaluations, or/and empirical usability tests. This paper aims at defining a quality model and …