Epidemic information dissemination in distributed systems

Eugster, Patrick; Guerraoui, Rachid; Kermarrec, Anne-Marie; Massoulié, Laurent

doi:10.1109/mc.2004.1297243

Cited by 410 publications

(194 citation statements)

References 18 publications

Supporting

Mentioning

176

Contrasting

Unclassified

Order By: Relevance

“…Either almost all nodes receive the information at the end of the process or almost none. Eugster et al [11] identify four key requirements on epidemic algorithms as:…”

Section: Epidemic Methods In Communication Networkingmentioning

confidence: 99%

See 1 more Smart Citation

Biologically Inspired Networking

2007

View full text Add to dashboard Cite

“…Either almost all nodes receive the information at the end of the process or almost none. Eugster et al [11] identify four key requirements on epidemic algorithms as:…”

Section: Epidemic Methods In Communication Networkingmentioning

confidence: 99%

“…Another idea which originates from interacting population models in biology is the concept of using epidemic protocols for information diffusion [11]. Especially, in P2P networks, epidemic models can easily be applied due to their scalability, robustness, resilience to failure and ease of deployment.…”

Section: Epidemic Diffusionmentioning

confidence: 99%

Biologically Inspired Networking

2007

View full text Add to dashboard Cite

“…Serf [4] is a gossip-based protocol [19] that enables decentralized service discovery and orchestration in a cluster of nodes. It supports an event-based system, effectively enabling a peer-to-peer publish/subscribe model.…”

Section: R Wmentioning

confidence: 99%

Peer-to-peer secure updates for heterogeneous edge devices

Herry

Band

Perkins

et al. 2018

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium

View full text Add to dashboard Cite

Abstract-We consider the problem of securely distributing software updates to large scale clusters of heterogeneous edge compute nodes. Such nodes are needed to support the Internet of Things and low-latency edge compute scenarios, but are difficult to manage and update because they exist at the edge of the network behind NATs and firewalls that limit connectivity, or because they are mobile and have intermittent network access. We present a prototype secure update architecture for these devices that uses the combination of peer-to-peer protocols and automated NAT traversal techniques. This demonstrates that edge devices can be managed in an environment subject to partial or intermittent network connectivity, where there is not necessarily direct access from a management node to the devices being updated.

show abstract

“…Many are focused on scalable group communication and multicast [13][14][15][16][17][18][19]. Others have focused on data aggregation [20], live streaming of video [21], maintenance of Distributed Hash Table routing tables [22], social network links to propagate data more efficiently [23], or specific network characteristics for gossiping with lower cost [24].…”

Section: Further Readingmentioning

confidence: 99%

Gossip-Based Networking for Internet-Scale Distributed Systems

Rivière

Voulgaris

2011

Lecture Notes in Business Information Processing

View full text Add to dashboard Cite

Abstract. In the era of Internet-scale applications, an increasing number of services are distributed over pools of thousands to millions of networked computers. Along with the obvious advantages in performance and capacity, such a massive scale comes also with challenges. Continuous changes in the system become the norm rather than the exception, either because of inevitable hardware failures or merely due to standard maintenance and upgrading procedures. Rather than trying to impose rigid control on the massive pools of resources, we should equip Internet-scale applications with enough flexibility to work around inevitable faults. In that front, gossiping protocols have emerged as a promising component due to their highly desirable properties: self-healing, self-organizing, symmetric, immensely scalable, and simple. Through visiting a representative set of fundamental gossiping protocols, this paper provides insight on the principles that govern their behavior. By focusing on the rationale and incentives behind gossiping protocols, we introduce the reader to the alternative way of managing massive scale systems through gossiping, and we intrigue her or his interest to delve deeper into the subject by providing an extensive list of pointers.

show abstract

Epidemic information dissemination in distributed systems

Cited by 410 publications

References 18 publications

Biologically Inspired Networking

Biologically Inspired Networking

Peer-to-peer secure updates for heterogeneous edge devices

Gossip-Based Networking for Internet-Scale Distributed Systems

Contact Info

Product

Resources

About