MEHARI: a system for analysing the use of the internet services

Lizcano, P.J.; Azcorra, Arturo; Solé-Pareta, Josep; Domingo‐Pascual, Jordi; Álvarez-Campana, Manuel

doi:10.1016/s1389-1286(99)00106-1

Cited by 4 publications

(2 citation statements)

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“…During the last years, the Advanced Broadband Communications Centre (CCABA) of the UPC has been involved in several projects related to internet traffic monitoring and analysis in the Spanish National Research and Education Network (RedIRIS), namely CASTBA, MEHARI (Lizcano et al, 1999) and MIRA (Veciana-Nogués et al, 2000, 2002. As a result of such experience, we have developed a traffic monitoring and analysis system, called SMARTxAC (pronounced smartpac), in joint collaboration with the Supercomputing Centre of Catalonia (CESCA).…”

Section: Introductionmentioning

confidence: 99%

SMARTxAC: a passive monitoring and analysis system for high‐speed networks

Barlet‐Ros

Sole-Pareta

Barrantes

et al. 2006

Campus-Wide Information Systems

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During the last years, the Advanced Broadband Communications Center (CCABA) of the UPC has been involved in several projects related to Internet traffic monitoring and analysis in the Spanish National Research and Education Network (RedIRIS), namely CASTBA, MEHARI [1] and MIRA [2, 3]. As a result of such an experience, a new traffic monitoring and analysis system, called SMARTxAC, has been developed at CCABA in joint work with the Supercomputing Center of Catalonia (CESCA). SMARTxAC is an always-on passive monitoring and analysis system that operates at gigabit speeds without packet loss. It also integrates a web-based graphical interface that offers numerous traffic statistics online. The main difference between SMARTxAC and other passive measurement infrastructures and systems for high-speed networks, such as those instrumented by NLANR [4] and Sprint [5], lies in that SMARTxAC has been explicitly designed for online traffic analysis, whereas in other approaches traffic analysis tasks are usually postponed to an offline stage.

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Section: Introductionmentioning

confidence: 99%

SMARTxAC: a passive monitoring and analysis system for high‐speed networks

Barlet‐Ros

Sole-Pareta

Barrantes

et al. 2006

Campus-Wide Information Systems

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“…Several projects, CASTBA [5], MEHARI [6] and MIRA [7] projects, are our contribution to the traffic analysis in the Spanish NRN RediRIS [8]. The main difference between our projects and the other traffic analysis initiatives has been the need of a full packet capture to perform traffic analysis at application header level.…”

Section: Introductionmentioning

confidence: 99%

Verifying IP Meters from Sampled Measurements

Veciana-Nogués

Cabellos‐Aparicio

Domingo‐Pascual

et al. 2002

IFIP Advances in Information and Communication Technology

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Traffic measurement and analysis is nowadays a very critical task and requires complex and high-cost traffic analysis equipment and infrastructure. The difficulty increases when high bandwidth connections are to be monitored. Network topology, the network technology used, applications and user behavior influence the overall traffic on the network. For network planning and provisioning is crucial to know the trends of the traffic behavior, that is why the analysis of protocol application is very useful. Most recent low-cost monitoring platforms for high-speed links rely on samples of the whole traffic. The purpose of the measurements range from monitoring and traffic characterization, to charging and billing. It is a must to know the statistical validity of the sampled data and the consequent detailed results obtained by classifying the traffic according to different categories. This fact is even more important when it is intended to be used for charging or cost sharing. In this paper we propose an approach to validate the statistical capture of our system. We compare full traffic measurements which contain all the traffic with sampled traffic measurements, in order to know what is the threshold of a sampled traffic to estimate the real traffic with a certain degree of confidence. Results are presented using traffic from a real network environment and comparing our capture platform results with results derived from the real traffic.

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