Towards an efficient performance evaluation of communication systems described by message sequence charts
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 2767, Page: 415-429
2003
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
A message sequence chart (MSC) is a high-level description of the message interaction between system components and their environment. Communication between distributed instances can be described by MSCs and these descriptions can be extended by notions for time consumption and resources and afterwards included in a system performance model. Such models can be evaluated by discrete event simulation or under reasonable assumptions alternatively with analytical queueing network algorithms. In this way steady state performance measures like resource utilizations and end-to-end delays can be calculated with low effort. The simulation uses the same input like the analytical formulas and allows for the investigation of dynamic performance behaviour or for the study of models including features which can not be handled by analytical formulas. © IFIP International Federation for Information Processing 2003.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=35248848403&origin=inward; http://dx.doi.org/10.1007/978-3-540-39979-7_27; http://link.springer.com/10.1007/978-3-540-39979-7_27; http://link.springer.com/content/pdf/10.1007/978-3-540-39979-7_27; https://dx.doi.org/10.1007/978-3-540-39979-7_27; https://link.springer.com/chapter/10.1007/978-3-540-39979-7_27
Springer Science and Business Media LLC
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