Title

A Solid Phase Assay For Topoisomerase I Interfacial Poisons And Catalytic Inhibitors

Keywords

Access network; Fault diagnosis; IPTV; VoD

Abstract

To prevent subscriber churn, network service providers of VoD, SDV and IPTV have a pressing need to pro-actively detect, isolate and fix outages within an access network. Network induced degradations prove to be detrimental for streaming applications. This typically leads to a poor quality of experience (QoE) for subscribers. By monitoring key functional points of the access network for traces of degradation, service providers can devise mechanisms to mitigate the problem. In this work we propose a hierarchy of exporters, collectors and ANCON (ANalysis and CONtrol) nodes that can semi-autonomously monitor, detect and isolate impairments within an access network. Exporters on the data plane gather and disseminate statistics for individual subnets, which are streamed onto "collector" nodes on an orthogonal plane. Collector nodes aggregate traffic from various exporters, and stream them onto the root of the tree (ANCON). With an even placement of exporters, root cause analysis can now take the granularity of loss rates or delay rates in individual segments or subnets of an access network. As an extension to our architecture, we show that the overlay can support instrumentations of quality evaluation for streaming video. As an example, we use a simple MOS plugin that is in part an extension of the ITU-T Erlang model to predict the quality of a video stream much before it reaches the end user. We show that our overlay can support a wide variety of quality evaluation metrics. Through extensive simulations and an implementation, we discuss issues of engineering such an overlay, isolating impairments in access networks, instrumenting MOS plugins and predicting video quality of multimedia streams in transit. © 2011 Elsevier B.V. All rights reserved.

Publication Date

2-15-2012

Publication Title

Analytical Biochemistry

Volume

421

Issue

4

Number of Pages

607-616

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.ab.2011.12.018

Socpus ID

84859697943 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84859697943

This document is currently not available here.

Share

COinS