Internet tomography

@article{citeulike:781332, abstract = {Today's Internet is a massive, distributed network which continues to explode in size as e-commerce and related activities grow. The heterogeneous and largely unregulated structure of the Internet renders tasks such as dynamic routing, optimized service provision, service-level verification, and detection of anomalous/malicious behavior increasingly challenging tasks. The problem is compounded by the fact that one cannot rely on the cooperation of individual servers and routers to aid in the collection of network traffic measurements vital for these tasks. In many ways, network monitoring and inference problems bear a strong resemblance to other "inverse problems" in which key aspects of a system are not directly observable. Familiar signal processing problems such as tomographic image reconstruction, system identification, and array processing all have interesting interpretations in the networking context. This article introduces the new field of network tomography, a field which we believe will benefit greatly from the wealth of signal processing theory and algorithms}, author = {Coates, A. and Hero and Nowak, R. and Yu, Bin }, citeulike-article-id = {781332}, journal = {Signal Processing Magazine, IEEE}, keywords = {measurement, topology}, number = {3}, pages = {47--65}, posted-at = {2007-01-15 04:34:06}, priority = {2}, title = {Internet tomography}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=998081}, volume = {19}, year = {2002} }

TY - JOUR ID - citeulike:781332 L3 - citeulike-article-id:781332 TI - Internet tomography JF - Signal Processing Magazine, IEEE VL - 19 IS - 3 SP - 47 EP - 65 N2 - Today's Internet is a massive, distributed network which continues to explode in size as e-commerce and related activities grow. The heterogeneous and largely unregulated structure of the Internet renders tasks such as dynamic routing, optimized service provision, service-level verification, and detection of anomalous/malicious behavior increasingly challenging tasks. The problem is compounded by the fact that one cannot rely on the cooperation of individual servers and routers to aid in the collection of network traffic measurements vital for these tasks. In many ways, network monitoring and inference problems bear a strong resemblance to other "inverse problems" in which key aspects of a system are not directly observable. Familiar signal processing problems such as tomographic image reconstruction, system identification, and array processing all have interesting interpretations in the networking context. This article introduces the new field of network tomography, a field which we believe will benefit greatly from the wealth of signal processing theory and algorithms KW - measurement KW - topology AU - Coates, A AU - Hero AU - Nowak, R AU - Yu, Bin PY - 2002/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=998081 ER -