The rationale of the current optical networking initiatives
Future Generation Computer Systems - iGrid 2002
Internet traffic measurement: what's going on in my network?
Internet traffic measurement: what's going on in my network?
Flow classification by histograms: or how to go on safari in the internet
Proceedings of the joint international conference on Measurement and modeling of computer systems
Identifying elephant flows through periodically sampled packets
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
A methodology for studying persistency aspects of internet flows
ACM SIGCOMM Computer Communication Review
Fisher information of sampled packets: an application to flow size estimation
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
The Basic Practice of Statistics (Cloth), Student CD, Premium Website & Minitab V 14
The Basic Practice of Statistics (Cloth), Student CD, Premium Website & Minitab V 14
Characteristic analysis of internet traffic from the perspective of flows
Computer Communications
A measurement study of correlations of Internet flow characteristics
Computer Networks: The International Journal of Computer and Telecommunications Networking
An architecture for the self-management of lambda-connections in hybrid networks
EUNICE'07 Proceedings of the 13th open European summer school and IFIP TC6.6 conference on Dependable and adaptable networks and services
Offloading IP flows onto lambda-connections
DSOM'07 Proceedings of the Distributed systems: operations and management 18th IFIP/IEEE international conference on Managing virtualization of networks and services
Understanding Internet traffic streams: dragonflies and tortoises
IEEE Communications Magazine
Wide-area Internet traffic patterns and characteristics
IEEE Network: The Magazine of Global Internetworking
Self-management of hybrid networks: introduction, pros and cons
EUNICE'11 Proceedings of the 17th international conference on Energy-aware communications
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Network monitoring plays an important role in network management. Through the analysis of network parameters (e.g. , flow throughput), managers can observe network behavior and make decisions based on them. The choice of network parameters although should be relevant for each specific objective. In this paper, we focus on the analysis of network parameters that are relevant for our self-management of lambda-connections proposal. This proposal consists of an automatic decision process to offload large IP flows onto lambda-connections. This paper aims at statistically analyzing a list of potential network parameters as relevant estimators for flow volume. The main contribution of this work is the introduction of a statistical methodology to validate that some few network parameters can be considered as good predictors for flow volume. These predictors are therefore of great interest to be used in our automatic decision process.