Performance tuning of Database Management Systems(DBMS) is both complex and challenging as it involves identifying and altering several key performance tuning parameters. The quality of tuning and the extent of performance enhancement achieved greatly depends on the skill and experience of the Database Administrator(DBA). As neural networks have the ability to adapt to dynamically changing inpu...

This paper proposes performance tuning methods for a PID controller for a robotic manipulator. The design procedures of an inverse optimal PID control method employed to assure extended disturbance input-to-state stability (ISS) are suggested. The performance tuning methods for an inverse optimal PID control are derived from the performance limitation and the bounds of the state vector. Also, t...

This paper presents a tuned behavior-based guidance algorithm for formation flight of quadrotors. The behavior-based approach provides the basis for the simultaneous realization of different behaviors such as leader following and obstacle avoidance for a group of agents; in our case they are quadcopters. In this paper optimization techniques are utilized to tune the parameters of a behavior-bas...

In this paper an adaptive PID controller for Wind Energy Conversion Systems (WECS) has been developed. Theadaptation technique applied to this controller is based on Reinforcement Learning (RL) theory. Nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...

Automatic performance tuning (auto-tuning) has been used in parallel numerical applications for adapting performance-relevant parameters. We extend auto-tuning to general-purpose parallel applications on multicores. This paper concentrates on Atune-IL, an instrumentation language for specifying a wide range of tunable parameters for a generic auto-tuner. Tunable parameters include the number of...

Label stream partition is a useful technique to reduce the input I/O cost of holistic twig join by pruning useless streams beforehand. The Prefix Path Stream (PPS) partition scheme is effective for non-recursive XML documents, but inefficient for deep recursive XML documents due to the high CPU cost of pruning and merging too many streams for some twig pattern queries involving recursive tags. ...

This paper describes a performance tuning tool, named SVMview, for DSM-based parallel computers. SVMview is a tool for doing a post-mortem analysis of page movements generated during the execution of Fortran-S programs. This tool is able to analyze some particular phenomena such as false-sharing which occurs when several processors write to the same page simultaneously. Such behavior entails ba...

The goal of this paper is to permit secure outsourced system evaluation. We propose a method for generating synthetic databases and obfuscating a workload of queries in order to protect the sensitive information present in the database. The synthetic database and workload can be used by a third party to accurately carry out performance tuning, index selection, or other system evaluation tasks. ...

We describe methods of identifying and exploiting sharing patterns in multi-threaded DSM applications. Active correlation tracking is used to determine the affinity, or amount of sharing, in pairs of threads. Thread affinities are combined to create correlation maps, which summarize sharing between all pairs of threads in the application. Correlation maps can be used in two ways. First, they ca...

Modern distributed systems are designed to tolerate unreliable environments, i.e., they aim to provide services even when some failures happen in the underlying hardware or network. However, the impact of unreliable environments can be significant on the performance of the distributed systems, which should be considered when deploying the services. In this paper, we present an approach to optim...