Designing a Subscription Service for Earthquake Big Data Analysis from Multiple Sources

Oladotun Omosebi; Stelios Sotiriadis; Eleana Asimakopoulou; Nik Bessis; Marcelo Trovati; Richart Hill

doi:10.1109/3PGCIC.2015.58

Designing a Subscription Service for Earthquake Big Data Analysis from Multiple Sources

Oladotun Omosebi, Stelios Sotiriadis, Eleana Asimakopoulou, Nik Bessis, Marcelo Trovati, Richart Hill

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

The unpredictable nature of earthquakes has been a challenge for many researchers for a long time. Earthquakes take place suddenly and quickly, leaving scientists little time to prepare for it. This is due to the inescapable realization of the fact that much information can be deciphered from the huge volume of data being generated from numerous heterogeneous sources by the second. This paper investigates the acquisition of earthquake data, processing of such data and making it available to subscribers who need information generated from a Big Data analysis process. It uses FIWARE Big Data Generic Enabler and relies on the Message Broker GE to notify subscribers. Finally, we present a prototype for a worldwide Earthquake seismic activity monitoring.

Original language	English
Title of host publication	2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	601-604
Number of pages	4
ISBN (Electronic)	9781467394734
DOIs	https://doi.org/10.1109/3PGCIC.2015.58
Publication status	Published - 4 Nov 2015
Externally published	Yes
Event	10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing - Krakow, Poland Duration: 4 Nov 2015 → 6 Nov 2015 Conference number: 10

Conference

Conference	10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing
Abbreviated title	3PGCIC 2015
Country/Territory	Poland
City	Krakow
Period	4/11/15 → 6/11/15

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10.1109/3PGCIC.2015.58Licence: Unspecified

Cite this

Omosebi, O., Sotiriadis, S., Asimakopoulou, E., Bessis, N., Trovati, M., & Hill, R. (2015). Designing a Subscription Service for Earthquake Big Data Analysis from Multiple Sources. In 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) (pp. 601-604). [7424635] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/3PGCIC.2015.58

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title = "Designing a Subscription Service for Earthquake Big Data Analysis from Multiple Sources",

abstract = "The unpredictable nature of earthquakes has been a challenge for many researchers for a long time. Earthquakes take place suddenly and quickly, leaving scientists little time to prepare for it. This is due to the inescapable realization of the fact that much information can be deciphered from the huge volume of data being generated from numerous heterogeneous sources by the second. This paper investigates the acquisition of earthquake data, processing of such data and making it available to subscribers who need information generated from a Big Data analysis process. It uses FIWARE Big Data Generic Enabler and relies on the Message Broker GE to notify subscribers. Finally, we present a prototype for a worldwide Earthquake seismic activity monitoring.",

keywords = "Big Data, Earthquake Data, FIWARE, Future Internet, Unstructured Data",

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doi = "10.1109/3PGCIC.2015.58",

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Omosebi, O, Sotiriadis, S, Asimakopoulou, E, Bessis, N, Trovati, M & Hill, R 2015, Designing a Subscription Service for Earthquake Big Data Analysis from Multiple Sources. in 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)., 7424635, Institute of Electrical and Electronics Engineers Inc., pp. 601-604, 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing , Krakow, Poland, 4/11/15. https://doi.org/10.1109/3PGCIC.2015.58

Designing a Subscription Service for Earthquake Big Data Analysis from Multiple Sources. / Omosebi, Oladotun; Sotiriadis, Stelios; Asimakopoulou, Eleana et al.

2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC). Institute of Electrical and Electronics Engineers Inc., 2015. p. 601-604 7424635.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Asimakopoulou, Eleana

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AU - Trovati, Marcelo

AU - Hill, Richart

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AB - The unpredictable nature of earthquakes has been a challenge for many researchers for a long time. Earthquakes take place suddenly and quickly, leaving scientists little time to prepare for it. This is due to the inescapable realization of the fact that much information can be deciphered from the huge volume of data being generated from numerous heterogeneous sources by the second. This paper investigates the acquisition of earthquake data, processing of such data and making it available to subscribers who need information generated from a Big Data analysis process. It uses FIWARE Big Data Generic Enabler and relies on the Message Broker GE to notify subscribers. Finally, we present a prototype for a worldwide Earthquake seismic activity monitoring.

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Designing a Subscription Service for Earthquake Big Data Analysis from Multiple Sources

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