Resource Usage Prediction Models for Optimal Multimedia Content Provision

Yiannos Kryftis , George Mastorakis , Constandinos X. Mavromoustakis , Jordi Mongay Batalla , Joel J. P. C. Rodrigues , Ciprian Dobre

Abstract

Abstract: This paper proposes a network architecture that utilizes novel resource prediction models for optimal selection of multimedia content provision methods. The proposed research approach is based on a prototype system, which exploits a resource prediction engine (RPE), utilizing time series and epidemic spread models, for optimal and balanced distribution of the streaming data among content delivery networks, cloud-based providers and home media gateways. The proposed epidemic diseases models adopt the characteristics of the multimedia content delivery over the network architecture. In this context, this 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. In addition, this paper presents two algorithms, adopted in the prototype network architecture, for optimal selection of multimedia content delivery methods, as well as balanced delivery load, by exploiting the RPE. Both algorithms and models are evaluated to establish their efficiency, toward effectively predicting future network traffic demands. The simulation results verify the validity of the proposed approach, identifying fields for future research and experimentation.
Author Yiannos Kryftis - [University of Nicosia (UNIC)]
Yiannos Kryftis ,,
-
- University of Nicosia
, George Mastorakis - [University of Nicosia (UNIC)]
George Mastorakis,,
-
- University of Nicosia
, Constandinos X. Mavromoustakis - University of Nicosia (UNIC)
Constandinos X. Mavromoustakis,,
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, Jordi Mongay Batalla IT
Jordi Mongay Batalla,,
- The Institute of Telecommunications
, Joel J. P. C. Rodrigues - [University of Beira Interior (UBI)]
Joel J. P. C. Rodrigues ,,
-
- Universidade da Beira Interior
, Ciprian Dobre - [University Politehnica of Bucharest (UPB)]
Ciprian Dobre,,
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- Universitatea Politehnica din Bucuresti
Journal seriesIEEE Systems Journal, ISSN 1932-8184
Issue year2016
Vol99
Pages1-12
Publication size in sheets0.55
Keywords in Englishresource prediction engine (RPE), Content delivery networks (CDNs), epidemic spread models, media distribution middleware (MDM), multimedia services systems, network architectures, quality of experience (QoE)
DOIDOI:10.1109/JSYST.2016.2548423
projectThe Develpment of Digital Communicatios. Project leader: Dąbrowski Andrzej, , Phone: +48 22 234-7843, start date 10-07-2005, end date 30-04-2006, IT/2005/statut, Completed
WEiTI Działalność statutowa
Languageen angielski
File
2016 Batalla Resource Usage Prediction.pdf (file archived - login or check accessibility on faculty) 2016 Batalla Resource Usage Prediction.pdf 1.55 MB
Score (nominal)35
ScoreMinisterial score = 35.0, 27-03-2017, ArticleFromJournal
Ministerial score (2013-2016) = 35.0, 27-03-2017, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 3.882 (2) - 2016=3.888 (5)
Citation count*7 (2017-12-24)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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