In conventional networks, correlating path information to resource utilisation on the granularity of packets is a hard problem when using policy-based traffic handling schemes. We introduce a new approach termed ‘intrinsic monitoring’ which relies on the use of IPv6 extension headers in combination with formal behaviour models to gather resource information along a path. This allows a network m...

The objective of this study is to optimize the river monitoring network in Taizihe River, Northeast China. The situation of the network and water characteristics were studied in this work. During this study, water samples were collected once a month during January 2009 - December 2010 from seventeen sites. Futhermore, the 16 monitoring indexes were analyzed in the field and laboratory. The pH v...

The vitality and utility of a network are affected significantly by the network management system (NMS) that is used to administer and monitor the network. However, models that can characterize the quality of a NMS are generally missing in the literature. In this paper, we introduce the concept of quality of monitoring (QoM), provide a mathematical formulation based on stochastic processes that...

We introduce an architecture for “Intradomain Overlays”, where a subset of routers within a domain is augmented with a dedicated host. These strategically placed hosts form an overlay network, and we describe a number of applications for such overlays. These applications include efficient network monitoring, policyand load-based packet re-routing, and network resource accounting. In this paper,...

To detect possible quality of service (QoS) degradation and locate the cause of the degradation, end-to-end QoS monitoring is not sufficient. Instead, QoS distribution should be monitored, i.e., the distribution of QoS experienced by a real-time flow in different network segments should be monitored. However, few of current monitoring systems can provide QoS distribution monitoring. This paper ...

air pollution is a challenging issue in some of the large cities in developing countries. air quality monitoring and interpretation of data are two important factors for air quality management in urban areas. several methods exist to analyze air quality. among them, we applied the dynamic neural network (tdnn) and radial basis function (rbf) methods to predict the concentrations of ground-level...

Several data stream management systems (DSMSs), enabling their users to measure and analyze the behavior of a data stream on-line, are now available to the public. Network monitoring, as a challenging application domain, has shown to fit into the domain of DSMSs. With the use of the Borealis DSMS, we have implemented a set of network monitoring tasks. By performing these network monitoring task...

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Performance monitoring systems are becoming increasingly important in providing Quality-of-Service (QoS) based services and service guarantees. Performance monitoring can occur at different levels and different timescales. Either passive measurements and active measurements can be employed. Currently, a large amount of work has gone into developing mechanisms and protocols for performance and t...