Skip to Main content Skip to Navigation
New interface
Conference papers

Towards a Robust Framework of Network Coordinate Systems

Abstract : Network Coordinate System (NCS) is an efficient and scalable mechanism to predict latency between any two network hosts based on historical measurements. Most NCS models, such as metric space embedding based, like Vivaldi, and matrix factorization based, like DMF and Phoenix, use squared error measure in training which suffers from the erroneous records, i.e. the records with large noise. To overcome this drawback, we introduce an elegant error measure, the Huber norm to network latency prediction. The Huber norm shows its robustness to the large data noise while remaining efficiency of optimization. Based on that, we upgrade the traditional NCS models into more robust versions, namely Robust Vivaldi model and Robust Matrix Factorization model. We conduct extensive experiments to compare the proposed models with traditional ones and the results show that our approaches significantly increase the accuracy of network latency prediction.
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Thursday, June 1, 2017 - 11:34:57 AM
Last modification on : Thursday, June 1, 2017 - 3:00:58 PM
Long-term archiving on: : Wednesday, September 6, 2017 - 6:55:43 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Linpeng Tang, Zhiyong Shen, Qunyang Lin, Junqing Xie. Towards a Robust Framework of Network Coordinate Systems. 11th International Networking Conference (NETWORKING), May 2012, Prague, Czech Republic. pp.331-343, ⟨10.1007/978-3-642-30045-5_25⟩. ⟨hal-01531122⟩



Record views


Files downloads