Design of a Location-based Publish/Subscribe Service using a Graph-based Computing Model
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Design of a Location-based Publish/Subscribe Service using a Graph-based Computing Model
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2017
Publisher
IEEE
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Conference Paper
Abstract
We present here the initial results of our investigation of a system architecture for location-based publish/subscribe services utilizing a graph-based model for managing data and computations. This architecture is implemented on a cluster computer using the facilities and the computation model provided by the Beehive framework which supports a transactional model of parallel computing on dynamic graph data structures. We implemented a Museum Visitor Service as an example of a location-based publish/subscribe system to study and evaluate the performance this approach. This service includes features
utilizing location-based publish/subscribe functions for supporting coordination and collaboration among members in a social group visiting the museum. We implemented a testbed system for this service and evaluated its performance on a cluster computer. Our work also illustrates that weaker consistency models for transactions can be utilized in such services to achieve higher performance and scalability.
Description
This paper presents a graph-based model for building broker architectures in location-based publish-subcribe systems. This work is based on the Beehive parallel programming platform for graph problems.
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National Science Foundation
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10.1109/CIC.2017.00024
Previously Published Citation
A. Tripathi and H. Hoang, "Design of a Location-based Publish/Subscribe Service using a Graph-based Computing Model," 2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC), DOI: 10.1109/CIC.2017.00024
Suggested citation
Tripathi, Anand; Hoang, Henry. (2017). Design of a Location-based Publish/Subscribe Service using a Graph-based Computing Model. Retrieved from the University Digital Conservancy, 10.1109/CIC.2017.00024.
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