Thematic event processing

Souleiman Hasan; Edward Curry

doi:10.13025/21244

Thematic event processing

Souleiman Hasan
, Edward Curry

Computer Science

University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

13 Citations (Scopus)

Abstract

Event-based systems follow a decoupled mode of interaction between event producers and consumers in space, time, and synchronization to enable scalability within distributed systems. We recognize a fourth dimension of coupling due to the need for mutual agreements on terms that describe event types, attributes, and values. Semantic coupling is challenging in large-scale, open, and heterogeneous environments such as the Internet of Things (IoT). It requires event producers and consumers to agree on event semantics and can limit scalability due to the difficulties in establishing such agreements. In this paper we propose a new thematic event processing approach based on enhancing events and subscriptions with terms representing their themes to clarify their domains and meanings in addition to their pay- load. Experiments conducted using large heterogeneous sets of smart-city and energy management events suggest up to 85% of matching accuracy at a rate of 500 events/sec of throughput. This represents around 15% improvement in accuracy and 150% in throughput over non-thematic approaches. This suggests the viability of thematic event processing to scale to environments such as the IoT.

Original language	English
Title of host publication	Proceedings of the 15th International Middleware Conference, Middleware 2014
Publisher	Association for Computing Machinery
Pages	109-120
Number of pages	12
ISBN (Electronic)	9781450327855
DOIs	https://doi.org/10.13025/21244 https://doi.org/10.1145/2663165.2663335
Publication status	Published - 8 Dec 2014
Event	15th International Middleware Conference, Middleware 2014 - Bordeaux, France Duration: 8 Dec 2014 → 12 Dec 2014

Publication series

Name	Proceedings of the 15th International Middleware Conference, Middleware 2014

Conference

Conference	15th International Middleware Conference, Middleware 2014
Country/Territory	France
City	Bordeaux
Period	8/12/14 → 12/12/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Approximate matching
Distributional semantics
Event processing
Internet of things
Semantic matching
Theme tags
Uncertainty

Access to Document

10.13025/21244Licence: CC BY-NC-ND
10.1145/2663165.2663335

Hasan-and-curry-middleware2014Accepted author manuscript, 688 KBLicence: CC BY-NC-ND

Cite this

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title = "Thematic event processing",

abstract = "Event-based systems follow a decoupled mode of interaction between event producers and consumers in space, time, and synchronization to enable scalability within distributed systems. We recognize a fourth dimension of coupling due to the need for mutual agreements on terms that describe event types, attributes, and values. Semantic coupling is challenging in large-scale, open, and heterogeneous environments such as the Internet of Things (IoT). It requires event producers and consumers to agree on event semantics and can limit scalability due to the difficulties in establishing such agreements. In this paper we propose a new thematic event processing approach based on enhancing events and subscriptions with terms representing their themes to clarify their domains and meanings in addition to their pay- load. Experiments conducted using large heterogeneous sets of smart-city and energy management events suggest up to 85\% of matching accuracy at a rate of 500 events/sec of throughput. This represents around 15\% improvement in accuracy and 150\% in throughput over non-thematic approaches. This suggests the viability of thematic event processing to scale to environments such as the IoT.",

keywords = "Approximate matching, Distributional semantics, Event processing, Internet of things, Semantic matching, Theme tags, Uncertainty",

author = "Souleiman Hasan and Edward Curry",

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language = "English",

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Hasan, S & Curry, E 2014, Thematic event processing. in Proceedings of the 15th International Middleware Conference, Middleware 2014. Proceedings of the 15th International Middleware Conference, Middleware 2014, Association for Computing Machinery, pp. 109-120, 15th International Middleware Conference, Middleware 2014, Bordeaux, France, 8/12/14. https://doi.org/10.13025/21244, https://doi.org/10.1145/2663165.2663335

Thematic event processing. / Hasan, Souleiman; Curry, Edward.
Proceedings of the 15th International Middleware Conference, Middleware 2014. Association for Computing Machinery, 2014. p. 109-120 (Proceedings of the 15th International Middleware Conference, Middleware 2014).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

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AU - Hasan, Souleiman

AU - Curry, Edward

PY - 2014/12/8

Y1 - 2014/12/8

N2 - Event-based systems follow a decoupled mode of interaction between event producers and consumers in space, time, and synchronization to enable scalability within distributed systems. We recognize a fourth dimension of coupling due to the need for mutual agreements on terms that describe event types, attributes, and values. Semantic coupling is challenging in large-scale, open, and heterogeneous environments such as the Internet of Things (IoT). It requires event producers and consumers to agree on event semantics and can limit scalability due to the difficulties in establishing such agreements. In this paper we propose a new thematic event processing approach based on enhancing events and subscriptions with terms representing their themes to clarify their domains and meanings in addition to their pay- load. Experiments conducted using large heterogeneous sets of smart-city and energy management events suggest up to 85% of matching accuracy at a rate of 500 events/sec of throughput. This represents around 15% improvement in accuracy and 150% in throughput over non-thematic approaches. This suggests the viability of thematic event processing to scale to environments such as the IoT.

AB - Event-based systems follow a decoupled mode of interaction between event producers and consumers in space, time, and synchronization to enable scalability within distributed systems. We recognize a fourth dimension of coupling due to the need for mutual agreements on terms that describe event types, attributes, and values. Semantic coupling is challenging in large-scale, open, and heterogeneous environments such as the Internet of Things (IoT). It requires event producers and consumers to agree on event semantics and can limit scalability due to the difficulties in establishing such agreements. In this paper we propose a new thematic event processing approach based on enhancing events and subscriptions with terms representing their themes to clarify their domains and meanings in addition to their pay- load. Experiments conducted using large heterogeneous sets of smart-city and energy management events suggest up to 85% of matching accuracy at a rate of 500 events/sec of throughput. This represents around 15% improvement in accuracy and 150% in throughput over non-thematic approaches. This suggests the viability of thematic event processing to scale to environments such as the IoT.

KW - Approximate matching

KW - Distributional semantics

KW - Event processing

KW - Internet of things

KW - Semantic matching

KW - Theme tags

KW - Uncertainty

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M3 - Conference Publication

T3 - Proceedings of the 15th International Middleware Conference, Middleware 2014

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BT - Proceedings of the 15th International Middleware Conference, Middleware 2014

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T2 - 15th International Middleware Conference, Middleware 2014

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ER -

Thematic event processing

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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