Title
On the Modeling of Multi-Point RTT Passive Measurements for Network Delay Monitoring
Abstract
Many network management actions need a simultaneous consideration of several elements’ state. This is becoming an even more complex matter with the advent of reconfigurable deployments, where scaling functions up can prevent performance bottlenecks. Therefore, fine-grained detection of significant burdens arises as a cornerstone to optimize their monitoring and operation. We present advanced distributed passive retrieval of information, and statistical multi-point analysis ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AdPRISMA</italic> ), a passive monitoring system intended to fit models for network delay measurements with clustering elements to improve representation of central and extreme behaviors. As distinguishing features, it relies on cost-effective multi-point round-trip time (RTT) passive network measurements, and is able to select a suitable parametric model optimizing the trade-off between fitting and complexity. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AdPRISMA</italic> can correlate records collected from several vantage points and detect where performance issues are most likely to appear; adjust alarms in terms of the probability of events; and adapt its behavior to dynamic network conditions while presenting a fair identification of anomalous situations. We evaluate <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AdPRISMA</italic> with experiments both in virtual environments and with real-world data to provide evidences of its applicability and capabilities to represent network elements’ delay.
Year
DOI
Venue
2019
10.1109/TNSM.2019.2924812
IEEE Transactions on Network and Service Management
Keywords
Field
DocType
network monitoring,network delay,round-trip time,probability,passive measurements,performance management,pro-active management
Dynamic network analysis,Network delay,Passive monitoring,Computer science,Network element,Round-trip delay time,Network monitoring,Network management,Cluster analysis,Distributed computing
Journal
Volume
Issue
ISSN
16
3
1932-4537
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Daniel Perdices101.01
David Muelas2326.70
Iria Prieto300.34
Luis de Pedro421.40
Jorge E. López de Vergara518726.98