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dc.contributor.authorPueyo Centelles, Roger
dc.contributor.authorSelimi, Mennan
dc.contributor.authorFreitag, Fèlix
dc.contributor.authorNavarro Moldes, Leandro
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2021-01-21T14:03:44Z
dc.date.available2021-01-21T14:03:44Z
dc.date.issued2020
dc.identifier.citationPueyo-Centelles, R. [et al.]. REDEMON: Resilient Decentralized Monitoring system for edge Infrastructures. A: IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing. "20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing: 11-14 May 2020, Melbourne, Australia: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 91-100. ISBN 978-1-7281-6095-5. DOI 10.1109/CCGrid49817.2020.00-84.
dc.identifier.isbn978-1-7281-6095-5
dc.identifier.urihttp://hdl.handle.net/2117/335744
dc.description.abstractThe Guifi.net community network has evolved during the past 15 years into a telecommunications infrastructure that offers Internet access to more than 80.000 people. The monitoring system currently in place for this network is lagging behind the growth of the infrastructure, requiring manual intervention and counting several single points of failure. In this paper we present REDEMON, a resilient decentralized monitoring system, hosted on distributed and interconnected edge devices, for a reliable, eventually-consistent monitoring of the Guifi.net network, leveraging CRDT-based data structures implemented on AntidoteDB. We developed the REDEMON system as a prototype featuring resilience, decentralization and automation, in order to replace the legacy monitoring system. To assess the system, this prototype was deployed on resource-constraint edge nodes in the Guifi.net production network and evaluated under realistic conditions. The decentralized assignment mechanism successfully achieves setting the minimum number of monitoring servers per network device that satisfies the established system requirements. Besides, by concentrating the workload on the minimum required number of servers running at their maximum capacity, the remaining devices can idle away, reducing the consumption footprint of the system. With regard to computing resources, we measure a moderate CPU and RAM usage by the monitoring system on low-capacity devices, while we observe that a considerable network traffic is required for achieving a resilient and consistent data storage layer. This resilient and decentralized architecture could lay the basis for other edge applications in the cloud computing domain that need to coordinate over distributed and consistent shared data.
dc.description.sponsorshipThis work was supported by the European H2020 framework programme project LightKone (H2020-732505), by the Spanish State Research Agency (AEI) under contracts PCI2019- 111850-2 and PCI2019-111851-2, and the Catalan government AGAUR SGR 990.
dc.format.extent10 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures distribuïdes
dc.subject.lcshCloud computing
dc.subject.lcshTelecommunication -- Traffic -- Management
dc.subject.otherDistributed monitoring
dc.subject.otherEdge clouds
dc.subject.otherCRDT
dc.titleREDEMON: Resilient Decentralized Monitoring system for edge Infrastructures
dc.typeConference report
dc.subject.lemacComputació en núvol
dc.subject.lemacTelecomunicació -- Tràfic -- Gestió
dc.contributor.groupUniversitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts
dc.identifier.doi10.1109/CCGrid49817.2020.00-84
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9139684
dc.rights.accessOpen Access
local.identifier.drac30249982
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/732505/EU/Lightweight Computation for Networks at the Edge/LightKone
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/2PE/PCI2019-111850-2
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/2PE/PCI2019-111851-2
dc.relation.projectidinfo:eu-repo/grantAgreement/AGAUR/2017 SGR 990
local.citation.authorPueyo-Centelles, R.; Selimi, M.; Freitag, F.; Navarro, L.
local.citation.contributorIEEE/ACM International Symposium on Cluster, Cloud and Internet Computing
local.citation.publicationName20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing: 11-14 May 2020, Melbourne, Australia: proceedings
local.citation.startingPage91
local.citation.endingPage100


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