Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-22687
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Spillner, Josef | - |
dc.date.accessioned | 2021-06-23T08:27:54Z | - |
dc.date.available | 2021-06-23T08:27:54Z | - |
dc.date.issued | 2020-12-07 | - |
dc.identifier.isbn | 978-1-4503-8202-1 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/22687 | - |
dc.description.abstract | Publish/subscribe (pub/sub) message brokers are typically operated with multiple tenants and multiple topics per tenant. Messages sent by a producer to a topic are received by consumers who subscribed to the same topic. In many applications, topic hierarchies are a desired property. This is especially the case for geospatial applications in which regions are composed of smaller-scale regions. However, most message brokers do not support hierarchies natively. HTABroker demonstrates how a light-weight processing function deployed to an extensible message broker overcomes this limitation for several geospatial index systems. | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | Association for Computing Machinery | de_CH |
dc.rights | Licence according to publishing contract | de_CH |
dc.subject.ddc | 004: Informatik | de_CH |
dc.title | Hierarchical topic aggregation for geospatial applications through processing extensions in message brokers | de_CH |
dc.type | Konferenz: Paper | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Engineering | de_CH |
zhaw.organisationalunit | Institut für Informatik (InIT) | de_CH |
dc.identifier.doi | 10.1145/3429358.3429370 | de_CH |
dc.identifier.doi | 10.21256/zhaw-22687 | - |
zhaw.conference.details | 21st International Middleware Conference, Delft, Netherlands (online), 7-11 December 2020 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 2 | de_CH |
zhaw.pages.start | 1 | de_CH |
zhaw.publication.status | acceptedVersion | de_CH |
zhaw.publication.review | Peer review (Publikation) | de_CH |
zhaw.title.proceedings | Middleware '20 Demos and Posters | de_CH |
zhaw.webfeed | Service Engineering | de_CH |
zhaw.webfeed | ZHAW digital | de_CH |
zhaw.funding.zhaw | Smart Cities & Regions Services Enablement (SCReSE) | de_CH |
zhaw.author.additional | No | de_CH |
zhaw.display.portrait | Yes | de_CH |
Appears in collections: | Publikationen School of Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2020_Spillner_HTABroker_Middleware20.pdf | Accepted Version | 135.38 kB | Adobe PDF | View/Open |
Show simple item record
Spillner, J. (2020). Hierarchical topic aggregation for geospatial applications through processing extensions in message brokers [Conference paper]. Middleware ’20 Demos and Posters, 1–2. https://doi.org/10.1145/3429358.3429370
Spillner, J. (2020) ‘Hierarchical topic aggregation for geospatial applications through processing extensions in message brokers’, in Middleware ’20 Demos and Posters. Association for Computing Machinery, pp. 1–2. Available at: https://doi.org/10.1145/3429358.3429370.
J. Spillner, “Hierarchical topic aggregation for geospatial applications through processing extensions in message brokers,” in Middleware ’20 Demos and Posters, Dec. 2020, pp. 1–2. doi: 10.1145/3429358.3429370.
SPILLNER, Josef, 2020. Hierarchical topic aggregation for geospatial applications through processing extensions in message brokers. In: Middleware ’20 Demos and Posters. Conference paper. Association for Computing Machinery. 7 Dezember 2020. S. 1–2. ISBN 978-1-4503-8202-1
Spillner, Josef. 2020. “Hierarchical Topic Aggregation for Geospatial Applications through Processing Extensions in Message Brokers.” Conference paper. In Middleware ’20 Demos and Posters, 1–2. Association for Computing Machinery. https://doi.org/10.1145/3429358.3429370.
Spillner, Josef. “Hierarchical Topic Aggregation for Geospatial Applications through Processing Extensions in Message Brokers.” Middleware ’20 Demos and Posters, Association for Computing Machinery, 2020, pp. 1–2, https://doi.org/10.1145/3429358.3429370.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.