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  1. Proceedings of the Doctoral Symposium of the 16th International Middleware Conference (Middleware Doct Symposium '15)
  2. Graph-Based Publish/Subscribe Research with Dynamic Subscriptions
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Enhancing the Internet of Things with Reconfigurable Hardware and Software
Towards Semantic Integration of Heterogeneous Sensor Data with Indigenous Knowledge for Drought Forecasting
Advanced monitoring and smart auto-scaling of NoSQL systems
Distributed Data Flow: a Programming Model for the Crowdsourced Internet of Things
Towards a Scalable, Distributed Metadata Service for Causal Consistency under Partial Geo-replication
Optimal Resource Provisioning Approach based on Cost Modeling for Spark Applications in Public Clouds
Graph-Based Publish/Subscribe Research with Dynamic Subscriptions
Drums: a Middleware-Aware Distributed Robot Monitoring System
Intrusion Detection System for Embedded Systems

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Graph-Based Publish/Subscribe Research with Dynamic Subscriptions

Content Provider ACM Digital Library
Author Pacheco, Eduardo Cañas, César
Abstract The publish/subscribe paradigm is well-regarded for its ability to successfully disseminate data while decoupling data providers from data consumers. Traditionally, pub/sub uses two common forms of filtering: topic-based and content-based, with a matching language that is limited to those filtering forms. However, it can be difficult to use these approaches to express interest in a semantic information domain. The current, past, and future research work shown in this paper explores an alternate publication and filtering model based on graphs, where consumers can express their interest in certain publications by subscribing to parts of a graph. This graph-based approach takes advantage of the properties of nodes and semantics of edges to model an application domain. In our research we have developed a graph-based pub/sub middleware prototype and are currently working on extending it to support dynamic graph updates and dynamic subscriptions.
Starting Page 1
Ending Page 4
Page Count 4
File Format PDF
ISBN 9781450337281
DOI 10.1145/2843966.2843973
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-12-07
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Parametric subscriptions Publish/subscribe Graphs
Content Type Text
Resource Type Article
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