Raven: belady-guided, predictive (deep) learning for in-memory and content caching
Performance of caching algorithms not only determines the quality of experience for users,
but also affects the operating and capital expenditures for cloud service providers. Today's …
but also affects the operating and capital expenditures for cloud service providers. Today's …
Darwin: Flexible learning-based cdn caching
Cache management is critical for Content Delivery Networks (CDNs), impacting their
performance and operational costs. Most production CDNs apply static, hand-tuned caching …
performance and operational costs. Most production CDNs apply static, hand-tuned caching …
Towards latency awareness for content delivery network caching
Caches are pervasively used in content delivery networks (CDNs) to serve requests close to
users and thus reduce content access latency. However, designing latency-optimal caches …
users and thus reduce content access latency. However, designing latency-optimal caches …
Beyond Belady to Attain a Seemingly Unattainable Byte Miss Ratio for Content Delivery Networks
Reducing the byte miss ratio (BMR) in the Content Delivery Network (CDN) caches can help
providers save on the cost of paying for traffic. When evicting objects or files of different sizes …
providers save on the cost of paying for traffic. When evicting objects or files of different sizes …
Online caching with no regret: Optimistic learning via recommendations
The design of effective online caching policies is an increasingly important problem for
content distribution networks, online social networks and edge computing services, among …
content distribution networks, online social networks and edge computing services, among …
SwiftCache: Model-Based Learning for Dynamic Content Caching in CDNs
B Abolhassani, A Eryilmaz, T Hou - arXiv preprint arXiv:2402.17111, 2024 - arxiv.org
We introduce SwiftCache, a" fresh" learning-based caching framework designed for content
distribution networks (CDNs) featuring distributed front-end local caches and a dynamic …
distribution networks (CDNs) featuring distributed front-end local caches and a dynamic …
Whittle index-based q-learning for wireless edge caching with linear function approximation
We consider the problem of content caching at the wireless edge to serve a set of end users
via unreliable wireless channels so as to minimize the average latency experienced by end …
via unreliable wireless channels so as to minimize the average latency experienced by end …
Predictive edge caching through deep mining of sequential patterns in user content retrievals
Edge caching plays an increasingly important role in boosting user content retrieval
performance while reducing redundant network traffic. The effectiveness of caching …
performance while reducing redundant network traffic. The effectiveness of caching …
A learned cache eviction framework with minimal overhead
Recent work shows the effectiveness of Machine Learning (ML) to reduce cache miss ratios
by making better eviction decisions than heuristics. However, state-of-the-art ML caches …
by making better eviction decisions than heuristics. However, state-of-the-art ML caches …
LBSC: A Cost-Aware Caching Framework for Cloud Databases
Caching is a crucial solution to alleviate the high latency and low bandwidth of cloud
databases. However, existing caching algorithms are not suitable for cloud databases as 1) …
databases. However, existing caching algorithms are not suitable for cloud databases as 1) …