Dusan Okanovic

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Continuous monitoring of software systems under production workload provides valuable data about application runtime behavior and usage. An adaptive monitoring infrastructure allows controlling, for instance, the overhead as well as the granularity and quality of collected data at runtime. Focusing on application-level monitoring, this paper presents the(More)
—In order to perform continuous monitoring, SLA document between interested parties has to be signed. These documents should be in machine readable format in order to automate monitoring process. On the other hand, it would be beneficial if it is human readable, too. This way, it is easier to perform configuration and maintenance of monitoring subsystem.(More)
Over the past decades, various methods, techniques, and tools for modeling and evaluating performance properties of software systems have been proposed covering the entire software life cycle. However, the application of performance engineering approaches to solve a given user concern is still rather challenging and requires expert knowledge and experience.(More)
—Continuous monitoring tools are designed to perform well under production workload with minimal performance overhead. Standard AOP frameworks are popular choice for development of instrumentation for Java software monitoring tools. Inevitable consequence of using these tools is the occurrence of performance overhead. The code they generate is guaranteed to(More)
Constant monitoring and verification of the software are required in order to assure the software meets service levels required by the service consumer are met by the service provider. We propose a new XML schema for defining service level parameters. In documents based on this schema we define parts of application to be monitored, which metric is going to(More)
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