Evaluating the Scalability of Distributed Systems
IEEE Transactions on Parallel and Distributed Systems
Java and Jmx: Building Manageable Systems
Java and Jmx: Building Manageable Systems
On delays in management frameworks: metrics, models and analysis
DSOM'06 Proceedings of the 17th IFIP/IEEE international conference on Distributed Systems: operations and management
DSOM'05 Proceedings of the 16th IFIP/IEEE Ambient Networks international conference on Distributed Systems: operations and Management
Comparing the performance of SNMP and Web services-based management
IEEE Transactions on Network and Service Management
On management technologies and the potential of Web services
IEEE Communications Magazine
A model and evaluation of distributed network management approaches
IEEE Journal on Selected Areas in Communications
Monitoring, aggregation and filtering for efficient management of virtual networks
Proceedings of the 7th International Conference on Network and Services Management
Distributed, application-level monitoring for heterogeneous clouds using stream processing
Future Generation Computer Systems
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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.