Consiglio Nazionale delle Ricerche

Tipo di prodottoContributo in atti di convegno
TitoloPrescriptive Analytics for MEC Orchestration
Anno di pubblicazione2018
FormatoElettronico
Autore/iA. Ceselli, M. Fiore, A. Furno, M. Premoli, S. Secci, R. Stanica
Affiliazioni autoriUniversità Degli Studi di Milano, CNR-IEIIT, IFSTTAR / ENTPE, Sorbonne Université / CNRS, Université de Lyon / INSA Lyon / Inria
Autori CNR e affiliazioni
  • MARCO FIORE
Lingua/e
  • inglese
AbstractOrchestrating network and computing resources in Mobile Edge Computing (MEC) is an important item in the networking research agenda. In this paper, we propose a novel algorithmic approach to solve the problem of dynamically assigning base stations to MEC facilities, while taking into consideration multiple time-periods, and computing load switching and access latency costs. In particular, leveraging on an existing state of the art on mobile data analytics, we propose a methodology to integrate arbitrary time-period aggregation methods into a network optimization framework. We notably apply simple consecutive time period aggregation and agglomerative hierarchical clustering. Even if the aggregation and optimization methods represent techniques which are different in nature, and whose aim is partially overlapping, we show that they can be integrated in an efficient way. By simulation on real mobile cellular datasets, we show that, thanks to the clustering, we can scale with the number of time-periods considered, that our approach largely outperforms the case without time-period aggregations in terms of MEC access latency, and at which extent the use of clustering and time aggregation affects computing time and solution quality.
Lingua abstractinglese
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Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
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Parole chiaveMobile edge computing, Orchestration, Clustering, Data analytics
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Titolo convegno/congressoIFIP Networking
Luogo convegno/congressoZurich, Switzerland
Data/e convegno/congressoMay 2018
RilevanzaInternazionale
RelazioneContributo
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Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
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