Techniques for building a scalable and reliable distributed content-based publish/subscribe system

Shen, Zhenhui

doi:10.31274/rtd-180813-16725

Cited by 1 publication

(3 citation statements)

References 60 publications

(99 reference statements)

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“…Next we analyzed the delivery ratio using implementations based on the OMNeT++ simulation environment and the MiXiM framework to employ a radio model compared to the self-stabilizing tree based approach by Shen et al [13]. Both approaches, Shen and PSVR use the same dynamically computed spanning tree.…”

Section: Discussionmentioning

confidence: 99%

“…We are only aware of two self-stabilizing pub/sub systems [9,13]. Jaeger's system uses a broker overlay network to route publications to subscribers connected to brokers, these only forward the data [9].…”

Section: Related Workmentioning

confidence: 99%

“…The renewal of leases is triggered by periodically dispensed subscription messages, an expired lease leads to the removal of the entry. Shen uses a spanning tree to route publications [13]. Nodes maintain routing tables to forward publications.…”

Section: Related Workmentioning

confidence: 99%

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$$\mathcal {PSVR}$$ - Self-stabilizing Publish/Subscribe Communication for Ad-Hoc Networks (Short Paper)

Siegemund

Turau

2016

Lecture Notes in Computer Science

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This paper presents the novel routing algorithm PSVR for pub/sub systems in ad-hoc networks. Its focus is on scenarios where communications links are unstable and nodes frequently change subscriptions. PSVR presents a compromise of size and maintenance effort for routing tables due to sub-and unsubscriptions and the length of routing paths. Designed in a self-stabilizing manner it scales well with network size. The evaluation reveals that PSVR only needs slightly more messages than a close to optimal routing structure for publication delivery, and creates shorter routing paths than an existing self-stabilizing algorithm. A real world deployment shows the usability of the approach.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%