2015 IEEE 35th International Conference on Distributed Computing Systems 2015
DOI: 10.1109/icdcs.2015.56
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Dynamoth: A Scalable Pub/Sub Middleware for Latency-Constrained Applications in the Cloud

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Cited by 44 publications
(31 citation statements)
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“…Beyond the geo-context related work, there is also related work on (IoT) data distribution approaches and techniques; some of these also consider a subset of the above introduced geo-context dimensions. We see the most closely related approaches in the area of pub/sub, e.g., in IoT [26,27,28,29,30] but also for applications ranging from enterprise to web computing [31,32,33,34,35,36,37,38,39]. In addition, there is also non-pub/sub related work on data distribution in general, e.g., [40,41,42]; neither of these explicitly captures geo-context information.…”
Section: Rwmentioning
confidence: 99%
“…Beyond the geo-context related work, there is also related work on (IoT) data distribution approaches and techniques; some of these also consider a subset of the above introduced geo-context dimensions. We see the most closely related approaches in the area of pub/sub, e.g., in IoT [26,27,28,29,30] but also for applications ranging from enterprise to web computing [31,32,33,34,35,36,37,38,39]. In addition, there is also non-pub/sub related work on data distribution in general, e.g., [40,41,42]; neither of these explicitly captures geo-context information.…”
Section: Rwmentioning
confidence: 99%
“…Often, a load balancer is used as a single point of entry for all communications: this creates a single logical broker from the perspective of clients and provides some sort of reliability and vertical scalability [10], [11]. However, such setups are either static and cumbersome to deploy or dynamically implement autoscaling in a central cloud service [12]. Given the limited amount of resources that will be available at the MEC, solutions where additional brokers may be dynamically created or shut down according to the local load conditions become of primary importance, as well as the development of accurate prediction models for resource provisioning [13].…”
Section: B Broker Vertical Clusteringmentioning
confidence: 99%
“…Basically, there exist two models of Pub/Sub systems: topic-based [3,4,6,5] and content-based [12,22]. In the first model, subscribers share a common knowledge on a set of available topics and every published message is labeled with one of these topics.…”
Section: Related Workmentioning
confidence: 99%
“…In topic-based Pub/Sub system, a subscriber can register its interests in one or more topics, and then it receives all published messages related to these topics (e.g., Scribe [3], Bayeux [4], DYNATOPS [5], Dynamoth [6], Magnet [7] and DRScribe [8]). The advantages of topic-based Pub/Sub systems when compared to content-based (see Section 5) are mainly that messages can be statically grouped into topics, the diffusion of messages to subscribers is usually based on multicast groups, and the interface offered to the user is simple.…”
Section: Introductionmentioning
confidence: 99%