Enabling resource scheduling in cloud distributed videoconferencing systems

Alonso González, Álvaro and Rodríguez Pérez, Pedro and Aguado Cortezón, Ignacio and Salvachúa Rodríguez, Joaquín (2016). Enabling resource scheduling in cloud distributed videoconferencing systems. In: "The Seventh International Conferences on Cloud Computing, GRIDs, and Virtualization (CLOUD COMPUTING 2016)", 20/03/2015 - 24/03/2015, Rome, Italy. pp. 51-56.

Description

Title: Enabling resource scheduling in cloud distributed videoconferencing systems
Author/s:
  • Alonso González, Álvaro
  • Rodríguez Pérez, Pedro
  • Aguado Cortezón, Ignacio
  • Salvachúa Rodríguez, Joaquín
Item Type: Presentation at Congress or Conference (Article)
Event Title: The Seventh International Conferences on Cloud Computing, GRIDs, and Virtualization (CLOUD COMPUTING 2016)
Event Dates: 20/03/2015 - 24/03/2015
Event Location: Rome, Italy
Title of Book: The Seventh International Conferences on Cloud Computing, GRIDs, and Virtualization (CLOUD COMPUTING 2016)
Date: 2016
Subjects:
Freetext Keywords: Cloud computing; videoconferencing; distributed MCU; scheduling
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

When deploying videoconferencing systems in Cloud based infrastructures, one of the most complex challenges is to distribute Multipoint Control Units (MCUs) among different servers. By addressing this challenge, we can improve the flexibility and the performance of this type of systems. However, to actually take advantage of the Cloud possibilities we have also to introduce mechanisms to dynamically schedule the distribution of the MCUs across the available resources. In this paper, we propose a resource scheduling model for videoconferencing systems and, starting from an existing MCU distribution architecture, we design a solution to enable the resource scheduling basing on custom criteria. These criteria can be based on the characteristics of each server or in their status in real time. We validate the extended model by setting up a typical videoconferencing deployment among a set of Cloud providers and testing a decision algorithm. We conclude that the proposed model enables the use of a wide range of algorithms that can be adapted to the needs of different Cloud deployment.

More information

Item ID: 42825
DC Identifier: http://oa.upm.es/42825/
OAI Identifier: oai:oa.upm.es:42825
Official URL: https://www.thinkmind.org/download.php?articleid=cloud_computing_2016_3_20_20042
Deposited by: Memoria Investigacion
Deposited on: 17 Jul 2016 09:18
Last Modified: 17 Jul 2016 09:18
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