Organisations possess and continuously generate huge amounts of static and stream data, especially with the proliferation of Internet of Things technologies. Collected but unused data, i.e., Dark Data, mean loss in value creation potential. In this respect, the concept of Computing Continuum extends the traditional more centralised Cloud Computing paradigm with Fog and Edge Computing in order to ensure low latency pre-processing and filtering close to the data sources. However, there are still major challenges to be addressed, in particular related to management of various phases of Big Data processing on the Computing Continuum. In this paper, we set forth an ecosystem for Big Data pipelines in the Computing Continuum and introduce five relevant real-life example use cases in the context of the proposed ecosystem.

Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview / Roman, D.; Nikolov, N.; Soylu, A.; Elvesaeter, B.; Song, H.; Prodan, R.; Kimovski, D.; Marrella, A.; Leotta, F.; Matskin, M.; Ledakis, G.; Theodosiou, K.; Simonet-Boulogne, A.; Perales, F.; Kharlamov, E.; Ulisses, A.; Solberg, A.; Ceccarelli, R.. - 2021-:(2021), pp. 1-4. (Intervento presentato al convegno 26th IEEE Symposium on Computers and Communications, ISCC 2021 tenutosi a Athens, Greece) [10.1109/ISCC53001.2021.9631410].

Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview

Marrella A.
;
Leotta F.;Ceccarelli R.
2021

Abstract

Organisations possess and continuously generate huge amounts of static and stream data, especially with the proliferation of Internet of Things technologies. Collected but unused data, i.e., Dark Data, mean loss in value creation potential. In this respect, the concept of Computing Continuum extends the traditional more centralised Cloud Computing paradigm with Fog and Edge Computing in order to ensure low latency pre-processing and filtering close to the data sources. However, there are still major challenges to be addressed, in particular related to management of various phases of Big Data processing on the Computing Continuum. In this paper, we set forth an ecosystem for Big Data pipelines in the Computing Continuum and introduce five relevant real-life example use cases in the context of the proposed ecosystem.
2021
26th IEEE Symposium on Computers and Communications, ISCC 2021
Big Data; Cloud-Fog-Edge Computing; Computing Continuum; Dark Data; Data Pipelines
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview / Roman, D.; Nikolov, N.; Soylu, A.; Elvesaeter, B.; Song, H.; Prodan, R.; Kimovski, D.; Marrella, A.; Leotta, F.; Matskin, M.; Ledakis, G.; Theodosiou, K.; Simonet-Boulogne, A.; Perales, F.; Kharlamov, E.; Ulisses, A.; Solberg, A.; Ceccarelli, R.. - 2021-:(2021), pp. 1-4. (Intervento presentato al convegno 26th IEEE Symposium on Computers and Communications, ISCC 2021 tenutosi a Athens, Greece) [10.1109/ISCC53001.2021.9631410].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1667426
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