Abstract
This paper presents a full video delivery network monitoring suite. Our monitoring tool offers a new view of a video delivery network, a view based on the quality perceived by final users. We measure, in real time and automatically, the perceived quality at the client side by means of the recently proposed PSQA technology. Moreover, we improve PSQA’s efficiency and robustness for video analysis by studying the flows at the frame level, instead of the packet level previously considered in the literature. The developed monitoring suite is a completely free-software application, based on well-known technologies such as the Simple Network Management Protocol or the Round Robin Databases, which can be executed in various operating systems. In this paper we explain the tool implementation and we present some of the first experimental measurements performed with it.
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References
DSL Forum Technical Work WT-126: Video services quality of experience (qoe) requirements and mechansims (2007)
Evertz Microsystems Ltd. - Manufacturer of High Quality Film and Digital Broadcast Equipment (2007), http://www.evertz.com/
Tandberg Home page (2007), http://www.tandberg.com/
Cisco Systems, Inc. (2007), http://www.cisco.com/
Alcatel-Lucent Home (2007), http://www.alcatel-lucent.com/
Siemens AG (2007), http://www.siemens.com/
IETF Network Working Group: An Architecture for Describing Simple Network Management Protocol (SNMP) Management Frameworks (RFC 3411) (2002)
Mohamed, S., Rubino, G.: A Study of Real–time Packet Video Quality Using Random Neural Networks. IEEE Transactions On Circuits and Systems for Video Technology 12(12), 1071–1083 (2002)
Mohamed, S., Rubino, G., Varela, M.: Performance evaluation of real-time speech through a packet network: a Random Neural Networks-based approach. Performance Evaluation 57(2), 141–162 (2004)
ITU-R Recommendation BT.500-11: Methodology for the subjective assessment of the quality of television pictures (2002)
Voran, S.: The Development of Objective Video Quality Measures that Emulate Human Perception. In: IEEE GLOBECOM, pp. 1776–1781. IEEE Computer Society Press, Los Alamitos (1991)
van den Branden Lambrecht, C.: Perceptual Models and Architectures for Video Coding Applications. PhD thesis, EPFL, Lausanne, Swiss (1996)
Gelenbe, E.: Random Neural Networks with Negative and Positive Signals and Product Form Solution. Neural Computation 1, 502–511 (1989)
VideoLan home page (2007), http://www.videolan.org
IETF Network Working Group: Management Information Base (MIB) for the Simple Network Management Protocol (SNMP) (RFC 3418) (2002)
IETF Network Working Group: Structure of Management Information Version 2 (RFC 2578) (1999)
IETF Network Working Group: Textual Conventions for SMIv2 (RFC 2579) (1999)
IETF Network Working Group: Conformance Statements for SMIv2 (RFC 2580) (1999)
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© 2007 Springer-Verlag Berlin Heidelberg
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De Vera, D., Rodríguez-Bocca, P., Rubino, G. (2007). QoE Monitoring Platform for Video Delivery Networks. In: Medhi, D., Nogueira, J.M., Pfeifer, T., Wu, S.F. (eds) IP Operations and Management. IPOM 2007. Lecture Notes in Computer Science, vol 4786. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75853-2_12
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DOI: https://doi.org/10.1007/978-3-540-75853-2_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75852-5
Online ISBN: 978-3-540-75853-2
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