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Integrated Network Traffic Processing Framework
Hrubý, Tomáš ; Bulej, Lubomír (referee) ; Tůma, Petr (advisor)
Knowledge of what data are carried by network links is crucial to be able to prevent attacks and to improve quality of services. Therefore it is important to develop network monitoring tools which can operate on speeds of new gigabit networks. This thesis discusses general principles of designing a highly flexible framework which is divided into several levels. These spread across various hardware and software environments. This allows us to keep up with a gigabit speed. We show details on an extension of the FFPF framework to run on top of an IXP based PCI board. In addition, we present an implementation of Ruler, a language for packet pattern matching and data anonymization, implemented for highspeed traffic monitoring using IXP network processor. This work also presents performance evaluation, discussion of bottle-necks, general problems and compares with other related projects.
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Infrastructure for Deployment of Heterogeneous Component-based Applications
Šafrata, Pavel ; Hnětynka, Petr (referee) ; Bulej, Lubomír (advisor)
Deployment is a process which involves all actions performed with an application after it is released. Traditionally, deployment has been addressed for each component model separately (if at all), even though most of the concepts are the same. The Deployment and Configuration of Component-based Applications Specification released by OMG proposes a unified approach that can be tailored to different component models. This thesis focuses on the execution phases of the deployment process. It presents a generic deployment runtime based on the OMG specification. The main objective is to elaborate support for multiple component models and subsequently support for heterogeneous applications consisting of components implemented in different component models. This has been achieved through a system of extensions which allows isolating component model specifics from the runtime. Even though the OMG specification was not originally intended to support heterogeneous applications, the implementation deviates from it only in a few points. In all such cases, the thesis presents an analysis of the situation and rationale for the deviation.
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Intelligent proxy for mobile user interfaces to electronic health record
Mišúr, Juraj ; Král, Jaroslav (referee) ; Bulej, Lubomír (advisor)
In the present work we study possibilities of using the electronic healthcare record, created and implemented by Josef Špidlen, on thin user clients as web browser on PC, PDA or mobile phone. The task of this work is to present patient's medical informations to the users (physicians, nurses, emergency staff) in the fastest, well arranged and user-friendly form. The main benefit of this project is integration of patient's data from several sources (databases of electronic healthcare record MUDR), which every of them has only the fragment of knowledge about patient, as in real life separate physicians or hospitals. Proxy keeps the patient's data from all available sources and presents them as complete and compact image of the patient. This kind of global EHR data integration is a major help for every interaction with the patient with respect to his/her health condition.
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Regresní měření výkonnosti projektu Mono
Kalibera, T. ; Bulej, Lubomír ; Tůma, P.
Regression benchmarking is a methodology for detecting performance changes in software by periodic benchmarking. This paper presents a statistical method for automated detection of performance changes and shows how this method performs on a prototype of a regression benchmarking suite for Mono.
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Regresní měření výkonnosti: cesta k zajištění výkonnostní stránky kvality software
Bulej, Lubomír ; Kalibera, T.
The paper presents a short summary of our work in the area of regression benchmarking and its application to software development. Specially, we explain the concept of regression benchmarking, the requirements for employing regression testing in a software project, and methods used for analyzing the vast amounts of data resulting from repeated benchmarking. We present the application of regression benchmarking on a real software project and conclude with a glimpse at the challenges for the future.
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