Cited By
View all- Chakrabarty SJoshi R(2020)Dark Data: People to People RecoveryICT Analysis and Applications10.1007/978-981-15-0630-7_24(247-254)Online publication date: 4-Feb-2020
BAUSPACE: A Scalable Infrastructure for Soft Sensors Development
Authors: 
Daniel Hernández, Francisco Arcas-Túnez, Andrés Muñoz, José M. CeciliaAuthors Info & Claims
Daniel Hernández, Francisco Arcas-Túnez, Andrés Muñoz, José M. CeciliaAuthors Info & ClaimsICPP Workshops '18: Workshop Proceedings of the 47th International Conference on Parallel Processing
Article No.: 22, Pages 1 - 4
Abstract
The Internet of Things (IoT) is driving the next economic revolution where the main actors are both the data volume and the immediacy. However, the IoT world is increasingly generating vast amounts of data classified as a "dark data", since most of them are generated but never analysed. Therefore, efficient big data analysis in IoT infrastructure is becoming mandatory to transform this data deluge into meaningful information. Even after enabling this analysis, the quantitative information provided by traditional "hard" sensors is not enough to deal with some scenarios where human observations are required. These observations could be targeted through "soft sensors", where people's opinion in social networks, posts, news or comments may be analyzed to create dynamic observation resources. Combining both sources-of-information (devices and humans) automatically would provide a very powerful tool that could represent a step forward in the data understanding science. However, the development of soft sensors implies the use of many services for crawling text sources and mashup Web-based content, storage it, understanding the language or inferring information, just to mention a few. Therefore, a novel cloud-based distributed system is mandatory to be able to develop such frameworks. In this paper we introduce a work-in-progress for a distributed and modular framework to develop soft sensors in a scalable manner and transparently to the cloud provider.
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- BAUSPACE: A Scalable Infrastructure for Soft Sensors Development
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Published In
August 2018
409 pages
ISBN:9781450365239
DOI:10.1145/3229710
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- University of Oregon: University of Oregon
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Association for Computing Machinery
New York, NY, United States
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Published: 13 August 2018
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ICPP '18 Comp
ICPP '18 Comp: 47th International Conference on Parallel Processing Companion
August 13 - 16, 2018
OR, Eugene, USA
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Overall Acceptance Rate 91 of 313 submissions, 29%
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View all- Chakrabarty SJoshi R(2020)Dark Data: People to People RecoveryICT Analysis and Applications10.1007/978-981-15-0630-7_24(247-254)Online publication date: 4-Feb-2020
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