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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 |
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Author/s: |
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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 |
Subjects: | |
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.
Item ID: | 56550 |
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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 |