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Serverless in the wild: Characterizing and optimizing the serverless workload at a large cloud provider
Function as a Service (FaaS) has been gaining popularity as a way to deploy computations
to serverless backends in the cloud. This paradigm shifts the complexity of allocating and …
to serverless backends in the cloud. This paradigm shifts the complexity of allocating and …
TTLs matter: Efficient cache sizing with TTL-aware miss ratio curves and working set sizes
In-memory caches play a pivotal role in optimizing distributed systems by significantly
reducing query response times. Correctly sizing these caches is critical, especially …
reducing query response times. Correctly sizing these caches is critical, especially …
Cocoa: Cold start aware capacity planning for function-as-a-service platforms
Function-as-a-Service (FaaS) has become increasingly popular in the software industry due
to the implied cost-savings in event-driven workloads and its synergy with DevOps. To size …
to the implied cost-savings in event-driven workloads and its synergy with DevOps. To size …
Reinforcement learning meets wireless networks: A layering perspective
Driven by the soaring traffic demand and the growing diversity of mobile services, wireless
networks are evolving to be increasingly dense and heterogeneous. Accordingly, in such …
networks are evolving to be increasingly dense and heterogeneous. Accordingly, in such …
Double auction mechanism design for video caching in heterogeneous ultra-dense networks
Recently, wireless streaming of on-demand videos of mobile users (MUs) has become the
major form of data traffic over cellular networks. As a response, caching popular videos in …
major form of data traffic over cellular networks. As a response, caching popular videos in …
Learning to cache and caching to learn: Regret analysis of caching algorithms
Crucial performance metrics of a caching algorithm include its ability to quickly and
accurately learn a popularity distribution of requests. However, a majority of work on …
accurately learn a popularity distribution of requests. However, a majority of work on …
Learning to cache: Federated caching in a cellular network with correlated demands
In this paper, the problem of distributed content caching in a small-cell Base Stations (sBSs)
wireless network that maximizes the cache hit performance is considered. Most of the …
wireless network that maximizes the cache hit performance is considered. Most of the …
TTL model for an LRU-based similarity caching policy
Similarity caching allows requests for an item to be served by a similar item. Applications
include recommendation systems, multimedia retrieval, and machine learning. Recently …
include recommendation systems, multimedia retrieval, and machine learning. Recently …
Tracing the path to youtube: A quantification of path lengths and latencies toward content caches
Quantifying the benefits of content cache deployments, both in terms of latency and path
lengths, and identifying the disparity of achievable benefits over IPv6 and over IPv4, is …
lengths, and identifying the disparity of achievable benefits over IPv6 and over IPv4, is …
An overview of analysis methods and evaluation results for caching strategies
G Hasslinger, M Okhovatzadeh, K Ntougias… - Computer Networks, 2023 - Elsevier
We survey analytical methods and evaluation results for the performance assessment of
caching strategies. Knapsack solutions are derived, which provide static caching bounds for …
caching strategies. Knapsack solutions are derived, which provide static caching bounds for …