The Sparse Basis Problem and Multilinear Algebra
SIAM Journal on Matrix Analysis and Applications
End-to-end routing behavior in the Internet
IEEE/ACM Transactions on Networking (TON)
On the constancy of internet path properties
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
On the origin of power laws in Internet topologies
ACM SIGCOMM Computer Communication Review
Network tomography on general topologies
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Detecting shared congestion of flows via end-to-end measurement
IEEE/ACM Transactions on Networking (TON)
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
User-level internet path diagnosis
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Simple network performance tomography
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
On the Cost-Quality Tradeoff in Topology-Aware Overlay Path Probing
ICNP '03 Proceedings of the 11th IEEE International Conference on Network Protocols
An algebraic approach to practical and scalable overlay network monitoring
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Multicast-based inference of network-internal loss characteristics
IEEE Transactions on Information Theory
The use of end-to-end multicast measurements for characterizing internal network behavior
IEEE Communications Magazine
Multicast-based loss inference with missing data
IEEE Journal on Selected Areas in Communications
QoSaaS: quality of service as a service
Hot-ICE'11 Proceedings of the 11th USENIX conference on Hot topics in management of internet, cloud, and enterprise networks and services
Scalable deterministic end-to-end probing and analytical method for overlay network monitoring
Proceedings of the 7th International Conference on Network and Services Management
A novel fault diagnosis mechanism for wireless sensor networks
Mathematical and Computer Modelling: An International Journal
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Internet fault diagnosis is extremely important for end-users, overlay network service providers (like Akamai [), and even Internet service providers (ISPs). However, because link-level properties cannot be uniquely determined from end-to-end measurements, the accuracy of existing statistical diagnosis approaches is subject to uncertainty from statistical assumptions about the network. In this paper, we propose a novel least-biased end-to-end network diagnosis (in short, LEND) system for inferring link-level properties like loss rate. We define a minimal identifiable link sequence (MILS) as a link sequence of minimal length whose properties can be uniquely identified from end-to-end measurements. We also design efficient algorithms to find all the MILSs and infer their loss rates for diagnosis. Our LEND system works for any network topology and for both directed and undirected properties and incrementally adapts to network topology and property changes. It gives highly accurate estimates of the loss rates of MILSs, as indicated by both extensive simulations and Internet experiments. Furthermore, we demonstrate that such diagnosis can be achieved with fine granularity and in near real-time even for reasonably large overlay networks. Finally, LEND can supplement existing statistical inference approaches and provide smooth tradeoff between diagnosis accuracy and granularity.