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More the number of interaction requests, then higher the likely hood of reduced performance of a software system.
In this paper, we show how to use this approach to investigate the performance of a software retrieval service.
In this paper we present an approach to evaluating the expected performance of a software architecture (SA).
In general, there are many environmental conditions and system states that impact on the performance of a software system.
By employing fault tolerant candidates to critical configurations, successful execution of most of interactions, it is possible to improve the reliability and performance of a software system.
IFrFT technique based on frequency of interactions makes use of interaction values of configurations to measure the reliability and performance of a software system.
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Context: While the performance analysis of a software architecture is a quite well-assessed task nowadays, the issue of interpreting the performance results for providing feedback to software architects is still very critical.
These so called stream processors are long-running complex software systems which may be affected by software aging, a well-known phenomenon among operation engineers, consisting of a progressive increase in the failure rate or in performance degradation of a software system over time.
Aaraj et al. [39] evaluate the performance of a pure software TPM on an embedded platform (Xscale PXA-250 at 400 MHz with 32 MB RAM).
Reliability and performance of any software system depend on successful execution of its critical configurations.
Cabletron bought its way into the Layer 3 market with the acquisition earlier this year of Yago Systems, a Sunnyvale, Calif.-based Calif.-basede product, the startupitch Router, offers 100 times the performance of a traditional softwhosebased router at one-tenth the productaccording theBenSmartSwitch
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