A Resource Prediction Engine for Efficient Multimedia Services Provision

Author:

Kryftis Yiannos1,Mastorakis George2,Mavromoustakis Constandinos X.1,Batalla Jordi Mongay3,Bourdena Athina1,Pallis Evangelos2

Affiliation:

1. University of Nicosia, Cyprus

2. Technological Educational Institute of Crete, Greece

3. National Institute of Telecommunications, Poland & Warsaw University of Technology, Poland

Abstract

This chapter presents a novel network architecture for optimal and balanced provision of multimedia services. The proposed architecture includes a central Management and Control (M&C) plane, located at Internet provider's premises, as well as distributed M&C planes for each delivery method, including Content Delivery Networks (CDNs) and Home Gateways. As part of the architecture, a Resource Prediction Engine (RPE) is presented that utilizes novel models and algorithms for resource usage prediction, making possible the optimal distribution of streaming data. It also enables for the prediction of the upcoming fluctuations of the network that provide the ability to make the proper decisions in achieving optimized Quality of Service (QoS) and Quality of Experience (QoE) for the end users.

Publisher

IGI Global

Reference63 articles.

1. Amazon Elastic Computing Cloud. (2014). Retrieved from http://aws.amazon.com/ec2

2. Andreou, A., Mavromoustakis, C. X., Mastorakis, G., Bourdena, A., & Pallis, E. (2014). Adaptive heuristic-based P2P network connectivity and configuration for resource availability. In Resource management in mobile computing environments (pp. 221-240). Springer.

3. The theta model: a decomposition approach to forecasting

4. Bourdena, A., Makris, P., Skoutas, D. N., Skianis, C., Kormentzas, G., Pallis, E., & Mastorakis, G. (n.d.). Joint radio resource management in cognitive networks: TV white spaces exploitation paradigm. Academic Press.

5. A dynamic spectrum management framework for efficient TVWS exploitation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3