Christian Tanguy

dblp:01/4078 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0002-8155-5352ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Memory systems · 100%
Computer networks
1 paper
Content delivery and video streaming · 67% Internet architecture and protocols · 33%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems › cache
cache performance
0.112012
Performance evaluation of the random replacement policy for networks of caches · SIGMETRICS 2012
Memory systems › cache management
cache replacement
0.112012
Performance evaluation of the random replacement policy for networks of caches · SIGMETRICS 2012
Content delivery and video streaming › caching
cache networks
0.012012
Performance evaluation of the random replacement policy for networks of caches · SIGMETRICS 2012
Content delivery and video streaming
content delivery network
0.012012
Performance evaluation of the random replacement policy for networks of caches · SIGMETRICS 2012
Internet architecture and protocols
information-centric networking
0.012012
Performance evaluation of the random replacement policy for networks of caches · SIGMETRICS 2012

Methods — techniques the papers use, named apart from their topics

queueing theory · 0.3asymptotic analysis · 0.3
YearPublicationVenuePosition
2014 Performance evaluation of the random replacement policy for networks of caches
Massimo Gallo, Bruno Kauffmann, Luca Muscariello, Alain Simonian, Christian Tanguy
Perform. Evaluation5
2012 Performance evaluation of the random replacement policy for networks of caches
abstract
Caching is a key component for Content Distribution Networks and new Information-Centric Network architectures. In this paper, we address performance issues of caching networks running the RND replacement policy. We first prove that when the popularity distribution follows a general power-law with decay exponent α > 1, the miss probability is asymptotic to O( C1-α) for large cache size C. We further evaluate network of caches under RND policy for homogeneous tree networks and extend the analysis to tandem cache networks where caches employ either LRU or RND policies.
Massimo Gallo, Bruno Kauffmann, Luca Muscariello, Alain Simonian, Christian Tanguy
SIGMETRICS5