A Gossip-Style Failure Detection Service
By Robbert van Renesse, Yaron Minsky, Mark Hayden. 2009
611 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/695a10a91b559e5caec2931f474e6132c7ef4299
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Anne-Marie Kermarrec
- Márk Jelasity
- Alberto Montresor
- Özalp Babaoglu
- Maarten van Steen
- Jon M. Kleinberg
- Spyros Voulgaris
- Rachid Guerraoui
Citations in the corpus
- Want to scale in centralized systems? Think P2P (2015, methodology): “This includes distributed objects [61], component-based middleware [62], modular distributed platforms [43, 63–65], aspects [66], reflection [67], and models at runtime approaches [68, 69] just to name of few.”
- Ef £ cient PDA Synchronization (2002, background): “Moreover, the successful implementation of this protocol on the computationally and communicationally limited Palm device suggests that the same can be done for more complicated, heterogeneous networks of many machines.”
- Spatial gossip and resource location protocols (2001, background): “For nodes arranged with uniform density in Euclidean space, we present natural gossip mechanisms, called spatial gossip, that satisfy such a guarantee: new information is spread to nodes at distance d, with high probability, in O(log1+e d) time steps.”
- Astrolabe: A robust and scalable technology for distributed system monitoring, management, and data mining (2003, background): “/2143'5 should grow logarithmically with membership size (see [32]), which in turn can be determined from the nmembers attribute.”
- Peer-to-Peer Membership Management for Gossip-Based Protocols (2003, methodology): “They have been used in various contexts such as publish-subscribe systems [12], distributed databases [10], distributed failure detection [26], distributed resource location [25], and virtual synchrony [15].”
- Gossip-based peer sampling (2007, background): “Ideally, any given node should exchange information with peers that are selected following a uniform random sample of all nodes currently in the system [Demers et al. 1987; van Renesse et al. 1998; Birman et al. 1999; Karp et al. 2000; Sun and Sturman 2000; Kowalczyk and Vlassis 2005].”
- Efficient PDA Synchronization (2003, background): “resource availability [17,18], data within gossip protocols [ 19 ,20], or memos and address books.”
- Kelips: Building an Efficient and Stable P2P DHT through Increased Memory and Background Overhead (2003, background): “Heartbeat updates originate at the responsible node (for filetuples, this is the homenode) and are disseminated through a peer-to-peer Epidemic protocol [7].”
- Connectivity and inference problems for temporal networks (2000, background): “has been exploited in the design of protocols for distributed systems [5, 16].”
- Gossip-based aggregation in large dynamic networks (2005, background): “Examples include database replication [3] and failure detection [27].”
- Lightweight probabilistic broadcast (2001, methodology): “detection based on gossips [ 29 ], while a third paper describ es Capt’n Cook [28], a gossip-based resource location protocol for the Internet, which can in that sense be seen as a membership protocol.6 This protocol enables the”
- On the quality of service of failure detectors (2000, background): “(many such variations exist in practice [10, 19, 28]).”