Application of sampling methodologies to network traffic characterization
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
Effective bandwidths for multiclass Markov fluids and other ATM sources
IEEE/ACM Transactions on Networking (TON)
Deriving traffic demands for operational IP networks: methodology and experience
IEEE/ACM Transactions on Networking (TON)
A distributed approach to measure IP traffic matrices
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
An efficient process for estimation of network demand for qos-aware IP network planning
IPOM'06 Proceedings of the 6th IEEE international conference on IP Operations and Management
Empirical Effective Bandwidth Estimation for IPTV Admission Control
MMNS '07 Proceedings of the 10th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services: Real-Time Mobile Multimedia Services
An approach to measurement based quality of service control for communications networks
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
EA'09 Proceedings of the 9th international conference on Artificial evolution
Analysis of the impact of sampling on NetFlow traffic classification
Computer Networks: The International Journal of Computer and Telecommunications Networking
QoSPlan: A Measurement Based Quality of Service aware Network Planning Framework
Journal of Network and Systems Management
Achieving high robustness and performance in QoS-aware route planning for IPTV networks
Information Sciences: an International Journal
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We present an economically efficient framework for provision of essential input for QoS-aware IP network planning. Firstly, we define a process for reuse of network accounting data for construction of a QoS-aware network demand matrix. Secondly, we define a process for estimation of QoS-related effective bandwidth coefficients from packet traces collected per traffic classe. Taken together, these processes provide the necessary input required to plan a network in accordance with QoS constraints. We present results of a sensitivity analysis of the demand estimation process, and of an economic analysis of the relative merit of deployment of our approach in comparison to a traditional direct measurement-based approach. We conclude that although there is a degree of inaccuracy in our network demand estimation process this inaccuracy is within acceptable bounds, and that this is offset by the potential for significant cost reductions for the ISP.