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Computing at the edge: but, what edge?

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[151]NOMS2020.pdf (474,7Kb)
 
10.1109/NOMS47738.2020.9110342
 
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hdl:2117/191912

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Contreras Murillo, Luis Miguel
Baliosian De Lazzari, Javier Ernesto
Martínez-Julia, Pedro
Serrat Fernández, JuanMés informacióMés informacióMés informació
Document typeConference report
Defense date2020
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectNECOS - Novel Enablers for Cloud Slicing (EC-H2020-777067)
5G-DIVE - 5G-DIVE: eDge Intelligence for Vertical Experimentation (EC-H2020-859881)
Abstract
The traditional telecommunications business is evolving towards offering a richer set of services beyond basic connectivity, leveraging on network programmability and virtualization. A versatile execution environment is required, capable of running different workloads in different locations in the network. Cloud computing is the key paradigm that allows fostering this trending change. One interesting question to solve is to what extent those computing environments have to move towards the network edge. Some services can be enabled by environments with increased capillarity, while others can be implemented in environments with more relaxed constraints (e.g., in terms of latency). This paper explores this topic by differentiating service edge from physical network edge and proposing an architecture based on the ALTO server for assisting orchestration systems in discriminating the suitable environments for each service. We present a network-flow strategy for assigning services to infrastructure elements following those precepts, together with an initial scalability evaluation of the proposed assignment solution to show its feasibility.
Description
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
CitationContreras, L.M. [et al.]. Computing at the edge: but, what edge?. A: IEEE/IFIP Network Operations and Management Symposium. "Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence: 20-24 April 2020". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 1-9. 
URIhttp://hdl.handle.net/2117/191912
DOI10.1109/NOMS47738.2020.9110342
ISBN978-1-7281-4974-5
Publisher versionhttps://ieeexplore.ieee.org/document/9110342
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  • MAPS - Management, Pricing and Services in Next Generation Networks - Ponències/Comunicacions de congressos [65]
  • Departament d'Enginyeria Telemàtica - Ponències/Comunicacions de congressos [561]
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