Epidemic models using Resource Prediction mechanism for optimal provision of multimedia services

Yiannos Kryftis, Constandinos X. Mavromoustakis, George Mastorakis, Jordi Mongay Batalla, Periklis Chatzimisios

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper proposes a network architecture that goes a step beyond the current state-of-the-art, by elaborating on a novel resource reservation and provision scheme, through a Media Distribution Middleware (MDM), that is based on a Resource Prediction Engine (RPE) leading to both high resource utilization and quality guarantees. The architecture defines management planes and software components that provide the mechanisms for collecting monitoring data, predicting possible future values of the network metrics and resources usage, and applying management decisions to keep the provision optimal. The proposed research approach is based on novel time series and epidemic spread models, and the outcome is used for the optimal distribution of streaming data, among Content Delivery Networks, cloud-based providers and Home Media Gateways. The proposed epidemic diseases model adopts the characteristics of the multimedia content delivery over the network architecture. In this context, the paper aims to present the advantages of using such models, by presenting and analyzing an epidemic spread scheme for Video on Demand (VoD) delivery, to predict future epidemic spread behavior. The validity of the proposed system is verified through several sets of extended experimental simulation tests, carried out under controlled simulation conditions.

Original languageEnglish
Title of host publication2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages91-96
Number of pages6
ISBN (Electronic)9781467381864
DOIs
Publication statusPublished - 25 Jan 2016
Event20th IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2015 - Guildford, United Kingdom
Duration: 7 Sep 20159 Sep 2015

Other

Other20th IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2015
CountryUnited Kingdom
CityGuildford
Period7/09/159/09/15

Keywords

  • Content Delivery Networks
  • Epidemic Models
  • Multimedia Services Systems
  • Quality of Experience
  • Resource Prediction Engine

Fingerprint Dive into the research topics of 'Epidemic models using Resource Prediction mechanism for optimal provision of multimedia services'. Together they form a unique fingerprint.

  • Cite this

    Kryftis, Y., Mavromoustakis, C. X., Mastorakis, G., Batalla, J. M., & Chatzimisios, P. (2016). Epidemic models using Resource Prediction mechanism for optimal provision of multimedia services. In 2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, CAMAD 2015 (pp. 91-96). [7390487] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAMAD.2015.7390487