Self-managing systems able to dynamically re-configure with respect to time-varying workload mixes and changing system resource availability are of growing importance in heterogeneous multicomputer environments. Advanced performance evaluation techniques are needed to induce and assess the impact of such re-configurations where guaranteeing timeliness of reconfiguration activities is particular...

Gas condensate reservoirs are characterized by a distinctive retrograde behavior and potential for condensate drop out during production and sampling. Efficient modeling of gas condensate reservoir requires careful phase behavior studies of samples collected prior to and during the production life of reservoir. In this work, an integrated characterization and tuning algorithm is proposed to ana...

In this paper a new approach to performance tuning of saturated PID controller for robot manipulators is presented. The proposed approach is based on construction of a parameter dependent Lyapunov function. With the appropriate choice of the free parameter, which is not included in stability conditions, a estimation of integral performance index is obtained. The performance index depends on con...

This paper presents a novel methodology to develop scheduling algorithms. The scheduling problem is phrased as a control problem, and control-theoretical techniques are used to design a scheduling algorithm that meets specific requirements. Unlike most approaches to feedback scheduling, where a controller integrates a “basic” scheduling algorithm and dynamically tunes its parameters and hence i...

The complexity of a network of workstations and modern networked applications can make performance tuning di cult. A telling comment from one networker was \You know you're on a network when some system you've never heard of comes up on your console and hangs your machine!". This paper aims to provide techniques for troubleshooting and tuning your network, and is organised into the following se...

We present the AgreementMaker system for matching real-world ontologies, which may consist of hundreds or even thousands of concepts. The end users of the system are sophisticated domain experts whose needs have driven the design and implementation of the system: they require a responsive, powerful, and extensible framework to perform, evaluate, and compare matching methods. The system comprise...

The main motive of this research is to study energy-efficient data-gathering mechanisms to detect sensor data irregularities. To detect the sensor data irregularities is useful for practical applications as well as for management of network, because the patterns found can be used for both decision making in applications and system performance tuning. For example, irregularities in sensory data ...

Performance tuning programs for dataflow execution involves tradeoffs and optimizations which may be significantly different than for execution on conventional machines. We examine some tuning techniques for scientific programs with regular control but irregular geometry. We use as an example the core of an ocean modeling code developed in the implicitly parallel language Id for the Monsoon dat...

The paper presents considerations regarding to design and simulation of two adaptive controllers (self-tuning controller with feedback and respectively reference compensation) with application to a power system. The self-tuning control strategy is applied for the excitation control of a synchronous generator. There are analyzed the performances of the both considered self-tuning control structu...

With the constantly increasing number of mobile devices performance becomes more and more essential for location aware platforms. Position prediction can help to improve the overall performance of such location-aware platform, e.g. by reducing latencies during handovers. But this goal can only be achieved if the prediction mechanism provides a high accuracy and if it does not consume relevant c...