Serverless in the wild: Characterizing and optimizing the serverless workload at a large cloud provider

M Shahrad, R Fonseca, I Goiri, G Chaudhry… - 2020 USENIX annual …, 2020 - usenix.org
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 …

TTLs matter: Efficient cache sizing with TTL-aware miss ratio curves and working set sizes

S Sultan, K Shakiba, A Lee, P Chen… - Proceedings of the …, 2024 - dl.acm.org
In-memory caches play a pivotal role in optimizing distributed systems by significantly
reducing query response times. Correctly sizing these caches is critical, especially …

Cocoa: Cold start aware capacity planning for function-as-a-service platforms

AU Gias, G Casale - … on modeling, analysis, and simulation of …, 2020 - ieeexplore.ieee.org
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 …

Reinforcement learning meets wireless networks: A layering perspective

Y Chen, Y Liu, M Zeng, U Saleem, Z Lu… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
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 …

Double auction mechanism design for video caching in heterogeneous ultra-dense networks

J Du, C Jiang, E Gelenbe, H Zhang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
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 …

Learning to cache and caching to learn: Regret analysis of caching algorithms

A Bura, D Rengarajan, D Kalathil… - IEEE/ACM …, 2021 - ieeexplore.ieee.org
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 …

Learning to cache: Federated caching in a cellular network with correlated demands

S Krishnendu, BN Bharath, N Garg… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …

TTL model for an LRU-based similarity caching policy

YB Mazziane, S Alouf, G Neglia, DS Menasche - Computer Networks, 2024 - Elsevier
Similarity caching allows requests for an item to be served by a similar item. Applications
include recommendation systems, multimedia retrieval, and machine learning. Recently …

Tracing the path to youtube: A quantification of path lengths and latencies toward content caches

TV Doan, L Pajevic, V Bajpai… - IEEE Communications …, 2018 - ieeexplore.ieee.org
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 …

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 …