CCD: A Distributed Publish/Subscribe Framework for Rich Content Formats

Jafarpour, Hojjat; Hore, Bijit; Mehrotra, Sharad; Venkatasubramanian, Nalini

doi:10.1109/tpds.2011.212

Cited by 9 publications

(8 citation statements)

References 14 publications

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“…Various event matching mechanisms for publish/subscribe systems have been studied, such as Tree, BDD, and DHT [1][2][3][4][5][6]. Aguilera et al [1] proposed a tree matching algorithm for content-based publish/subscribe systems.…”

Section: Related Workmentioning

confidence: 99%

“…Decentralized publish/subscribe systems have been studied to address this problem. Jafarpour et al [5] present a distributed publish/subscribe framework based on a DHT. The framework consists of a set of stable brokers that are connected with an overlay network.…”

Section: Related Workmentioning

confidence: 99%

“…Since there is an additional layer (i.e., message broker) between information senders and receivers, an efficient event matching algorithm is required in the message broker. Despite various matching algorithms such as Tree, Binary Decision Diagram (BDD), and Distributed Hash Table (DHT) [1][2][3][4][5][6], some issues remain for supporting events in different formats and semantics. Semantic Web technologies provide a platform and tools to match events in publish/ subscribe systems [7,8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Ontology-based quantitative similarity metric for event matching in publish/subscribe system

Kim

Kang

2015

Neurocomputing

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ontology-based quantitative similarity metric for event matching in publish/subscribe system

Kim

Kang

2015

Neurocomputing

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“…Context-aware applications play an important role in smart systems, starting from smart hospital [2][3][4][5], smart surveillance [6,7], smart community [8,9], smart notification [10][11][12][13], smart shopping [14,15], to smart building [16,17] applications. Let us consider the following examples of context-aware applications in smart environments.…”

Section: Introductionmentioning

confidence: 99%

Scarf

Shin

Ghosh

Mehrotra

et al. 2019

Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

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This paper proposes a context data management framework for efficient context data collection and evaluation to support contextaware applications. The proposed framework named SCARF leverages two architectures: a server-based centralized architecture and an edge-based architecture to address the problem of scalability of context collection and evaluation. SCARF collects the context data efficiently from resource constrained mobile/edge and multiple insitu sensors (not resource constrained) deployed in smart environments. In particular, SCARF takes a set of contextual queries from applications and optimizes the rate at which the context data needs to be collected and/or transmitted from the sensor to the server. Furthermore, SCARF decides whether the code for evaluating context should be executed on the server or on the edge. Execution on the edge will result in reduced communication between the server and the edge but can result in low performance due to resource constraints of the edge. On the other hand, evaluation of context on the server, will require SCARF to transmit sensor data from the sensor to the server but can result in high performance due to high resource availability of the server. SCARF is an adaptive framework which generates an optimal context acquisition plan and a context evaluation plan such that the overall latency is minimized.

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“…Subscription approach helps readers to subscribe interesting content. Readers use a subscription mechanism to express their message needs and publishers deliver published content to readers that have specified interest in it [11, 12]. Using author name and website address lists to subscribe content is popular in social media, such as rich site summary (RSS) readers in blogs and The Wall in Facebook.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Ontological Subscription and Blocking and Rich Site Summary for Blog Posts

Liu

2015

International Journal of Distributed Sensor Networks

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Information overload and privacy protection become critical issues with blogs. This paper presents the ontological subscription and blocking system (OSBS) using policies, ontologies, and rules to subscribe interesting posts and block unwanted posts. This system also uses rules for automatic conflict detection between polices. The effectiveness of two subscription systems, OSBS and RSS (rich site summary) reader, is compared. The experimental results reveal that the perceived privacy benefits on the novel OSBS are better than the existing RSS reader. The novel OSBS is as good as existing RSS reader from perceived information overload alleviation perspective.

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CCD: A Distributed Publish/Subscribe Framework for Rich Content Formats

Cited by 9 publications

References 14 publications

Ontology-based quantitative similarity metric for event matching in publish/subscribe system

Ontology-based quantitative similarity metric for event matching in publish/subscribe system

Scarf

Comparison of Ontological Subscription and Blocking and Rich Site Summary for Blog Posts

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