DocumentCode :
2284669
Title :
PathCrawler: Automatic harvesting web infra-structure
Author :
Marcondes, Cesar ; Sanadidi, M.Y. ; Gerla, Mario ; Schwartz, Ramon S. ; Santos, Raphael O. ; Martinello, Magnos
Author_Institution :
Comput. Sci. Dept., Univ. of California, Los Angeles, CA
fYear :
2008
fDate :
7-11 April 2008
Firstpage :
339
Lastpage :
346
Abstract :
As network topologies have grown in size and complexity, it is becoming a daunting task for network administrators to keep track the capacity dimensioning of newly installed web-servers within a single or multiple providers. In fact, monitor capacity dimensioning is not a trivial activity since network state changes rather frequently, in particular, in academic environments. In this paper, we describe estimation algorithms and the software architecture of an efficient network management suite to automatically mine path capacity and minimum delays from a venture point to a set of observed web servers. The principle of the suite is based on packet dispersion techniques and repetitive non-intrusive measurements. We provide analytical insights, simulation results and some real case studies where we argument about the correctness, accuracy and usefulness of the suite in the context of management and operation of complex IP based networks.
Keywords :
IP networks; Internet; computer network management; file servers; telecommunication network topology; IP based networks; PathCrawler; automatic harvesting web infra-structure; capacity dimensioning; estimation algorithms; network administrators; network management suite; network topologies; packet dispersion techniques; repetitive non-intrusive measurements; software architecture; web-servers; Analytical models; Computer science; Convergence; Delay estimation; Kernel; Monitoring; Network servers; Network topology; Software architecture; Web server; Inline TCP Estimators; Measurements and Monitoring; Network Management; Performance Evaluation; Webcrawler;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Operations and Management Symposium, 2008. NOMS 2008. IEEE
Conference_Location :
Salvador, Bahia
ISSN :
1542-1201
Print_ISBN :
978-1-4244-2065-0
Electronic_ISBN :
1542-1201
Type :
conf
DOI :
10.1109/NOMS.2008.4575153
Filename :
4575153
Link To Document :
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