M
Maarten van Steen
Researcher at University of Twente
Publications - 165
Citations - 8380
Maarten van Steen is an academic researcher from University of Twente. The author has contributed to research in topics: Middleware (distributed applications) & Replication (computing). The author has an hindex of 35, co-authored 160 publications receiving 7940 citations. Previous affiliations of Maarten van Steen include VU University Amsterdam & University of Amsterdam.
Papers
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Book
Distributed Systems: Principles and Paradigms
TL;DR: Intended for use in a senior/graduate level distributed systems course or by professionals, this text systematically shows how distributed systems are designed and implemented in real systems.
Journal ArticleDOI
CYCLON: Inexpensive Membership Management for Unstructured P2P Overlays
TL;DR: The protocol is shown to construct graphs that have low diameter, low clustering, highly symmetric node degrees, and that are highly resilient to massive node failures, and it is shown that the protocol is highly reactive to restoring randomness when a large number of nodes fail.
Journal ArticleDOI
Gossip-based peer sampling
TL;DR: This paper presents a generic framework to implement a peer-sampling service in a decentralized manner by constructing and maintaining dynamic unstructured overlays through gossiping membership information itself, which generalizes existing approaches and makes it easy to discover new ones.
Journal ArticleDOI
Wikipedia workload analysis for decentralized hosting
TL;DR: It is concluded that decentralized architectures must focus on applying techniques to efficiently handle read operations while maintaining consistency and dealing with typical issues on decentralized systems such as churn, unbalanced loads and malicious participating nodes.
Proceedings ArticleDOI
The peer sampling service: experimental evaluation of unstructured gossip-based implementations
TL;DR: This paper presents a generic framework to implement reliable and efficient peer sampling services, which generalizes existing approaches and makes it easy to introduce new ones, and shows that all of them lead to differentpeer sampling services none of which is uniformly random.