Practical Experiences With Torque Meta-Scheduling In The Czech National Grid

The Czech National Grid Infrastructure went through a complex transition inthe last year. The production environment has been switched from a commercialbatch system PBSPro, which was replaced by an open source alternative Torquebatch system.This paper concentrates on two aspects of this transition. First, we will presentour practical experience with Torque being used as a production ready batchsystem. Our modified version of Torque, with all the necessary PBSPro ex-clusive features re-implemented and further extended with new features likecloud-like behaviour, was deployed across the entire production environment,covering the entire Czech Republic for almost a full year.In the second part, we will present our work on meta-scheduling. This in-volves our work on distributed architecture and cloud-grid convergence. Thedistributed architecture was designed to overcome the limitations of a centralserver setup, which was originally used and presented stability and performanceissues. While this paper does not discuss the inclusion of cloud interfaces intogrids, it does present the dynamic infrastructure, which is a requirement forsharing the grid infrastructure between a batch system and a cloud gateway.We are also inviting everyone to try out our fork of the Torque batch system,which is now publicly available

Peer-to-Peer Scheduling in the Czech National Grid and Beyond

In this work, we present our advancements in the Torque Batch System fork used in the Czech National Grid MetaCentrum. While the major focus was stabilizing the numerous experimental features implemented during previous years, we have also advanced our feature set noticeably. Our custom scheduler has gone through several architectural changes. We will also touch upon features that have finally entered production, and describe how they had to be changed since first introduced

3rd EGEE User Forum

We have organized this book in a sequence of chapters, each chapter associated with an application or technical theme introduced by an overview of the contents, and a summary of the main conclusions coming from the Forum for the chapter topic. The first chapter gathers all the plenary session keynote addresses, and following this there is a sequence of chapters covering the application flavoured sessions. These are followed by chapters with the flavour of Computer Science and Grid Technology. The final chapter covers the important number of practical demonstrations and posters exhibited at the Forum. Much of the work presented has a direct link to specific areas of Science, and so we have created a Science Index, presented below. In addition, at the end of this book, we provide a complete list of the institutes and countries involved in the User Forum

Particle Swarm Optimization

Particle swarm optimization (PSO) is a population based stochastic optimization technique influenced by the social behavior of bird flocking or fish schooling.PSO shares many similarities with evolutionary computation techniques such as Genetic Algorithms (GA). The system is initialized with a population of random solutions and searches for optima by updating generations. However, unlike GA, PSO has no evolution operators such as crossover and mutation. In PSO, the potential solutions, called particles, fly through the problem space by following the current optimum particles. This book represents the contributions of the top researchers in this field and will serve as a valuable tool for professionals in this interdisciplinary field

Computational intelligence approaches to robotics, automation, and control [Volume guest editors]

No abstract available

Advanced Technologies in Hydropower Flow Systems

Hydropower is an essential part of the renewable energy sector. High efficiency, immediate availability, and safe operation of hydroelectric power plants are the three key issues in recent developments in the hydropower sector. This book brings together the latest achievements addressing these key factors. In addition, one contribution deals with the alternative harvesting of hydro energy from pivoted cylinders by generating flow-induced vibrations, which are unwanted phenomena in classical pump–turbine units

Advances in Grid Computing

This book approaches the grid computing with a perspective on the latest achievements in the field, providing an insight into the current research trends and advances, and presenting a large range of innovative research papers. The topics covered in this book include resource and data management, grid architectures and development, and grid-enabled applications. New ideas employing heuristic methods from swarm intelligence or genetic algorithm and quantum encryption are considered in order to explain two main aspects of grid computing: resource management and data management. The book addresses also some aspects of grid computing that regard architecture and development, and includes a diverse range of applications for grid computing, including possible human grid computing system, simulation of the fusion reaction, ubiquitous healthcare service provisioning and complex water systems