S7-1200 with Tia Portal technology has become a Standard function of distributed controlsystems. Self-Tuning methods belong to Programmable Controllers (PLC) techniques. PLCtechniques contain software packages for advanced control based on mathematical methods. S7-1200 tools are designed to increase the Process Capacity, yield, and quality of products. Most ofthe present time digital industry r...

in recent years, soft computing methods have generated a large research interest. the synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. a particular evolutionary algorithm (ea) is differential evolution (de). as for any ea, de algorithm also requires parameters tuning to achieve desirable performance. in this paper tuning the perturbation factor vector of de ...

General-purpose, high-availability database systems have lately proliferated to various network element platforms. In telecommunication, databases are expected to meet demanding availability levels while preserving the required throughput. However, so far, the effects of various high-availability configurations on overall database performance have not been analyzed. In this paper, the operation...

Performance tuning in modern database systems requires a lot of expertise, is very time consuming and often misdirected. Tuning attempts often lack a methodology that has a holistic view of the database. The absence of historical diagnostic information to investigate performance issues at first occurrence exacerbates the whole tuning process often requiring that problems be reproduced before th...

a novel technique is investigated for pid controller adaptation in order to control thetemperature of a liquid-phase reactor tank by using a heat exchanger system. as for nonlinearity,time delay problems and model uncertainties introduced by the heat exchanger, an interval type-2fuzzy system (it2fs) is implemented to enhance and improve the total control performance.moreover, the fuzzy inferenc...

Controlling Quality of Service (QoS) offered by application servers involves selecting appropriate configuration and parameter tuning that would match the application level load. This is a challenging problem, since application servers have many parameters at different levels that often influence the QoS in complex ways. This paper presents an empirical approach to keep the QoS offered close to...

As DBMS has grown more powerful over the last decades, they have also become more complex to manage. To achieve efficiency by database tuning is nowadays a hard task carried out by experts. This development inspired the ongoing research on self-tuning to make database systems more easily manageable. In this report, we present a customizable self-tuning storage manager, we termed as Evolutionary...

Schon seit mehreren Jahrzehnten wird bei meisten Unternehmen Performance Tuning von Rechnersystemen betrieben. Dieses Thema wurde wie von der Seite der Unternehmen als auch von der Wissenschaft mittlerweile in zahlreichen unterschiedlichen Aspekten erforscht und ausgearbeitet. Es existieren inzwischen viele wissenschaftliche Artikel und Bücher zu dem Thema, wie z.B. von Dennis Shasha und Philip...

We introduce equi-tuning, a novel fine-tuning method that transforms (potentially non-equivariant) pretrained models into group equivariant while incurring minimum L_2 loss between the feature representations of and models. Large can be equi-tuned for different groups to satisfy needs various downstream tasks. Equi-tuned benefit from both equivariance as an inductive bias semantic priors provid...

A typical database workload consists of a mix of multiple query instances of di erent query types that run concurrently and interact with each other. That query interactions can have a signi cant impact on database system performance. Hence, developing performance tuning algorithms for database systems requires taking these interactions into account. In this paper we propose three new approache...