Title
Performance of network and service monitoring frameworks
Abstract
The efficiency and the performance of management systems is becoming a hot research topic within the networks and services management community. This concern is due to the new challenges of large scale managed systems, where the management plane is integrated within the functional plane and where management activities have to carry accurate and up-to-date information. We defined a set of primary and secondary metrics to measure the performance of a management approach. Secondary metrics are derived from the primary ones and quantifies mainly the efficiency, the scalability and the impact of management activities. To validate our proposals, we have designed and developed a benchmarking platform dedicated to the measurement of the performance of a JMX manager-agent based management system. The second part of our work deals with the collection of measurement data sets from our JMX benchmarking platform. We mainly studied the effect of both load and the number of agents on the scalability, the impact of management activities on the user perceived performance of a managed server and the delays of JMX operations when carrying variables values. Our findings show that most of these delays follow a Weibull statistical distribution. We used this statistical model to study the behavior of a monitoring algorithm proposed in the literature, under heavy tail delays distribution. In this case, the view of the managed system on the manager side becomes noisy and out of date.
Year
DOI
Venue
2009
10.1109/INM.2009.5188888
integrated network management
Keywords
DocType
Volume
jmx manager-agent,management plane,heavy tail delays distribution,management system,secondary metrics,jmx benchmarking platform,service monitoring framework,management approach,jmx operation,i. i ntroduction,services management community,management activity,network monitoring,java,quality management,throughput,weibull distribution,measurement,benchmark testing,statistical distribution,service management,management systems,statistical model,scalability,mathematical model,heavy tail,data mining
Conference
abs/0907.3047
ISSN
ISBN
Citations 
11th IFIP/IEEE International Symposium on Integrated Network Management (2009)
978-1-4244-3487-9
3
PageRank 
References 
Authors
0.78
11
3
Name
Order
Citations
PageRank
Abdelkader Lahmadi19018.46
Laurent Andrey2549.73
Olivier Festor366585.40