Edge federation simulator for data stream analytics

Cárdenas Rodríguez, Román ORCID: https://orcid.org/0000-0003-0762-4425, Arroba García, Patricia ORCID: https://orcid.org/0000-0002-0587-997X, Moya Fernández, José Manuel ORCID: https://orcid.org/0000-0003-4433-2296 and Risco Martín, José Luis (2019). Edge federation simulator for data stream analytics. In: "Proceedings of the 2019 Summer Simulation Conference (SummerSim '19)", 22/07/2019 - 24/07/2019, Berlín, Alemania. pp. 1-12.


Title: Edge federation simulator for data stream analytics
Item Type: Presentation at Congress or Conference (Article)
Event Title: Proceedings of the 2019 Summer Simulation Conference (SummerSim '19)
Event Dates: 22/07/2019 - 24/07/2019
Event Location: Berlín, Alemania
Title of Book: Summer Simulation Conference
Date: July 2019
Freetext Keywords: DEVS; Driving Assistance; Edge Computing; MBSE
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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The technological revolution of the Internet of Things (IoT) is transforming our society by registering and analyzing users and infrastructures? behavior in order to develop new services for improving life quality and resource management. IoT-based applications demand a vast amount of both localized and location-based information services. For these scenarios, current cloud-based services appear to be inefficient in terms of latency, throughput and power consumption. Edge computing proposes new infrastructures for effective real-time decision making. These facilities should be able to process a vast amount of data from multiple geographically distributed sources. To that end, new urban edge data centers are to be deployed, bringing computing resources closer to data sources while reducing both core network congestion and overall energy demand. This paper presents an Edge Federation simulator for data stream analytics in a 5G scenario that provides the necessary resource management for efficient service-oriented computing.

Funding Projects

Government of Spain
Sistema integral para la gestión óptima coordinada de recursos en centros de datos de altas prestaciones [Grid-E]
Government of Spain
Manuel Prieto Matías
Efficient heterogeneous computing: from the processor to the datacenter
Government of Spain

More information

Item ID: 56550
DC Identifier: https://oa.upm.es/56550/
OAI Identifier: oai:oa.upm.es:56550
Official URL: https://dl.acm.org/doi/10.5555/3374138.3374181
Deposited by: Memoria Investigacion
Deposited on: 23 Mar 2020 16:47
Last Modified: 23 Mar 2020 16:47
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