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Albert van der Linde

dblp:181/1445 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2020
—ORCID · none

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

Databases, data management, data science and information retrieval · 2 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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
2 papers
Distributed systems · 100%
Computer networks
1 paper
Edge and fog computing · 100%
Network and information security
1 paper
Systems and software security · 100%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
consistency models		 0.412020
Practical Client-side Replication: Weak Consistency Semantics for Insecure Settings · Proc. VLDB Endow. 2020
Distributed systems
replication		 0.412020
Practical Client-side Replication: Weak Consistency Semantics for Insecure Settings · Proc. VLDB Endow. 2020
Distributed systems › consistency models
weak consistency		 0.412020
Practical Client-side Replication: Weak Consistency Semantics for Insecure Settings · Proc. VLDB Endow. 2020
Distributed systems
peer-to-peer systems		 0.312017
Legion: Enriching Internet Services with Peer-to-Peer Interactions · WWW 2017

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

replication protocol · 0.9peer-to-peer communication · 0.6decentralized coordination · 0.6
YearPublicationVenuePosition
2020 Practical Client-side Replication: Weak Consistency Semantics for Insecure Settings
Albert van der Linde, João Leitão 0001, Nuno M. Preguiça
 Proc. VLDB Endow.1
2017 Legion: Enriching Internet Services with Peer-to-Peer Interactions
abstract
Many web applications are built around direct interactions among users, from collaborative applications and social networks to multi-user games. Despite being user-centric, these applications are usually supported by services running on servers that mediate all interactions among clients. When users are in close vicinity of each other, relying on a centralized infrastructure for mediating user interactions leads to unnecessarily high latency while hampering fault-tolerance and scalability.
Albert van der Linde, Pedro Fouto, João Leitão 0001, Nuno M. Preguiça, Santiago J. Castiñeira, Annette Bieniusa
 WWW1