Advanced monitoring techniques for a large-scale data-processing network

Purpose - The aim of this paper is to describe the methods used to monitor and measure the performance of the data acquisition network deployed in the ATLAS detector at the LHC in CERN, Geneva.Design methodology approach - Strict inventory and connectivity control was employed through cross-correlat...

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Bibliographic Details
Published in:Campus-wide information systems 2008-11, Vol.25 (5), p.287-300
Main Authors: Martin, B., Al-Shabibi, A., Batraneanu, S.M., Ciobotaru, Darlea, G.L., Ivanovici, M., Leahu, L., Stancu, S.N.
Format: Article
Language:English
Subjects:
Communications networks
Data base management
Data processing
Design specifications
Distributed processing
Information processing
Information Services
Information Sources
Measurement techniques
Monitoring systems
Networks
Performance evaluation
Performance management
Real time
Responsible persons
Software
Studies
Topology
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Summary:Purpose - The aim of this paper is to describe the methods used to monitor and measure the performance of the data acquisition network deployed in the ATLAS detector at the LHC in CERN, Geneva.Design methodology approach - Strict inventory and connectivity control was employed through cross-correlation of multiple databases. Basic monitoring uses a commercial product and, in addition to that, 2-D graph display tools were developed to compare and contrast multiple instances of peer performance in terms of through-put and error. Traffic analysis and diagnostics were improved by displaying at carefully customized aggregate plots. By overlaying geographical, logical and traffic information a 3-D, system-wide, visualization system was developed with fly-through navigation and zoom-based levels of detail to monitor the 6,000-port system in quasi-real time.Findings - The difficulties of automatically detecting unacceptable traffic patterns are presented and both signal-processing techniques and rules-based expert systems are suggested as possible solutions to the problem.Originality value - It is believed that the scope of the 3-D visualization program is unique in the field of network monitoring. These techniques should be of value to any manager of a complex network situation.
ISSN:1065-0741
2056-4880
2054-5576
2056-4899
DOI:10.1108/10650740810921448