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—We propose a novel admission control policy for database queries. Our methodology uses system measurements of CPU utilization and query backlogs to determine interference between queries in execution on the same database server. Query interference may arise due to the concurrent access of hardware and software resources and can affect performance in(More)
—In this paper, we propose simple performance models to predict the impact of consolidation on the storage I/O performance of virtualized applications. We use a measurement-based approach based on tools such as blk-trace and tshark for storage workload characterization in a commercial virtualized solution, namely VMware ESX server. Our approach allows a(More)
We propose a linear regression method and a maximum likelihood technique for estimating the service demands of requests based on measurement of their response times instead of their CPU utilization. Our approach does not require server instrumentation or sampling, thus simplifying the pa-rameterization of performance models. The benefit of this approach is(More)
We propose simple models to predict the performance degradation of disk requests due to storage device contention in consolidated virtualized environments. Model parameters can be deduced from measurements obtained inside Virtual Machines (VMs) from a system where a single VM accesses a remote storage server. The parameterized model can then be used to(More)
We propose a trace-driven approach to predict the performance degradation of disk request response times due to storage device contention in consolidated virtualized environments. Our performance model evaluates a queueing network with fair share scheduling using trace-driven simulation. The model parameters can be deduced from measurements obtained inside(More)
Analytic performance models are being increasingly used to support system runtime optimization. This paper considers the modelling features needed to predict the response time behaviour of an industrial enterprise resource planning (ERP) application, SAP ERP. A number of studies have reported modelling success with the application of basic product-form(More)
We propose a trace-driven approach to predict the performance degradation of disk request response times due to storage device contention in consolidated virtualized environments. Our performance model evaluates a queueing network with fair share scheduling using trace-driven simulation. The model parameters can be deduced from measurements obtained inside(More)
H ADES ist ein im WiN­Labor an der Universität Erlangen entwickeltes System zur Ermittlung qualitätsrelevanter Daten wie IP­Paketlaufzeit und Paketverluste in Computernetzwerken. Gemessene und statistisch bewertete Paketlaufzeiten lassen Rückschlüsse zu, wie die Qualität von Netzwerkverbindungen einzuordnen ist und wo kritische Netzwerksituationen auftreten(More)