RT Conference Proceedings
T1 Towards an architecture for big data analytics leveraging edge/fog paradigms
A1 Díaz-De-Arcaya, Josu
A1 Miñon, Raül
A1 Torre-Bastida, Ana I.
A2 Duchien, Laurence
A2 Koziolek, Anne
A2 Mirandola, Raffaela
A2 Martinez, Elena Maria Navarro
A2 Quinton, Clement
A2 Scandariato, Ricardo
A2 Scandurra, Patrizia
A2 Trubiani, Catia
A2 Weyns, Danny
AB An industry transformation is being boosted by Big Data and Cloud technologies. We present a Big Data architecture, which expands the life cycle of data processing through the Edge, Fog and Cloud computing layers. The proposed architecture takes advantage of the strengths of each: the Cloud layer executes heavy analytical processes, the Fog is responsible for the ingestion and performing aggregations, and the Edge manages devices and actuators. The proposed architecture tackles two main goals, 1) latencies and response times can be reduced by bringing the analytics closer to where the data is generated and 2) the use of computing resources is optimised. In order to conceptualise this architecture, an orchestration module is proposed with the goal of optimising the deployment of analytical workloads across the three layers, by evaluating their computing resources. In addition to this, another module is designed to monitor the performance of such workloads allowing the redistribution of tasks assigned to each node. These modules will be implemented in a real case scenario in the train domain.
PB Association for Computing Machinery
SN 9781450371421
YR 2019
FD 2019-09-09
LK https://hdl.handle.net/11556/2727
UL https://hdl.handle.net/11556/2727
LA eng
NO Díaz-De-Arcaya , J , Miñon , R & Torre-Bastida , A I 2019 , Towards an architecture for big data analytics leveraging edge/fog paradigms . in L Duchien , A Koziolek , R Mirandola , E M N Martinez , C Quinton , R Scandariato , P Scandurra , C Trubiani & D Weyns (eds) , 13th European Conference on Software Architecture, ECSA 2019 - Companion Proceedings . ACM International Conference Proceeding Series , vol. 2 , Association for Computing Machinery , pp. 173-176 , 13th European Conference on Software Architecture, ECSA 2019 , Paris , France , 9/09/19 . https://doi.org/10.1145/3344948.3344987
NO conference
NO Publisher Copyright: © 2019 ACM.
DS TECNALIA Publications
RD 28 jul 2024