ISGC 2009, The International Symposium on Grid Computing was held at Academia Sinica, Taipei, Taiwan in April 2009 bringing together prestigious scientists and engineers worldwide to exchange ideas, present challenges/solutions and introduce future development in the field of Grid Computing. Managed Grids and Cloud Systems in the Asia-Pacific Research Community presents the latest achievements in grid technology including Cloud Computing. This volume also covers international projects in Grid Operation, Grid Middleware, E-Science applications, technical developments in grid operations and management, Security and Networking, Digital Library and more. The resources used to support these advances, such as volunteer grids, production managed grids, and cloud systems are discussed in detail. This book is designed for a professional audience composed of grid users, developers and researchers working in the grid computing. Advanced-level students focusing on computer science and engineering will find this book valuable as a reference or secondary text book.

"This book explores the value of information and its management by highlighting theoretical and empirical approaches in the economics of information systems, providing insight into how information systems can generate economic value for businesses and consumers"--Provided by publisher.

Open Source Archaeology: Ethics and Practice' brings together authors and researchers in the field of open-source archaeology, defined as encompassing the ethical imperative for open public access to the results of publicly-funded research; practical solutions to open-data projects; open-source software applications in archaeology; public information sharing projects in archaeology; open-GIS; and the open-context system of data management and sharing. This edited volume is designed to discuss important issues around open access to data and software in academic and commercial archaeology, as well as to summarise both the current state of theoretical engagement, and technological development in the field of open-archaeology. Ben Edwards Ben Edwards was trained in archaeology at the University of Durham, achieving his BA, MA and PhD. His first commercial work was for Archaeological Services, Durham University, before moving on to become a Lecturer in Archaeological Practice at the University of Liverpool, where he taught for three years. During this time Ben began his project management work, undertaking both commercial and research excavations, and survey projects. His teaching (archaeological practice and heritage management) proved to be an excellent basis from which to develop his professional expertise. Ben now lectures at Manchester Metropolitan University in Archaeology and Heritage. He currently researches open source software and hardware for use in the field, and advanced 3D surveying techniques. Andrew Wilson Andrew Wilson was trained in archaeology at the University of Liverpool. Upon achieving his BA at the University, Andrew moved south to study Computer Applied Archaeology at the University of Southampton, where he was awarded an MSc. Andrew returned to the University of Liverpool where he has recently completed a PhD. During this time Andrew coordinated a number of projects both in the UK and Middle East, specialising in advanced surveying techniques of archaeological remains. Working in the the School of Computer Science, Bangor University Andrew has developed his keen interest in Open data policies and ethics. This interest was the starting point for this volume.

The theme of this Research Companion is 'connectivity and the global reach of electroacoustic music and sonic arts made with technology'. The possible scope of such a companion in the field of electronic music has changed radically over the last 30 years. The definitions of the field itself are now broader - there is no clear boundary between 'electronic music' and 'sound art'. Also, what was previously an apparently simple divide between 'art' and 'popular' practices is now not easy or helpful to make, and there is a rich cluster of streams of practice with many histories, including world music traditions. This leads in turn to a steady undermining of a primarily Euro-American enterprise in the second half of the twentieth century. Telecommunications technology, most importantly the development of the internet in the final years of the century, has made materials, practices and experiences ubiquitous and apparently universally available - though some contributions to this volume reassert the influence and importance of local cultural practice. Research in this field is now increasingly multi-disciplinary. Technological developments are embedded in practices which may be musical, social, individual and collective. The contributors to this companion embrace technological, scientific, aesthetic, historical and social approaches and a host of hybrids – but, most importantly, they try to show how these join up. Thus the intention has been to allow a wide variety of new practices to have voice – unified through ideas of 'reaching out' and 'connecting together' – and in effect showing that there is emerging a different kind of 'global music'.

"This reference presents a vital compendium of research detailing the latest case studies, architectures, frameworks, methodologies, and research on Grid and Cloud Computing"--

Cloud computing offers subscription-based on-demand services, and it has emerged as the backbone of the computing industry. It has enabled us to share resources among multiple users through virtualization, which creates a virtual instance of a computer system running in an abstracted hardware layer. Unlike early distributed computing models, it offers virtually limitless computing resources through its large scale cloud data centers. It has gained wide popularity over the past few years, with an ever-increasing infrastructure, a number of users, and the amount of hosted data. The large and complex workloads hosted on these data centers introduce many challenges, including resource utilization, power consumption, scalability, and operational cost. Therefore, an effective resource management scheme is essential to achieve operational efficiency with improved elasticity. Machine learning enabled solutions are the best fit to address these issues as they can analyze and learn from the data. Moreover, it brings automation to the solutions, which is an essential factor in dealing with large distributed systems in the cloud paradigm. Machine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The predictive approaches are developed using regression-based time series analysis and neural network models. The neural network-based models are primarily trained using evolutionary algorithms, and efficient virtual machine placement schemes are developed using multi-objective genetic algorithms. Key Features: The first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds. Predictive analytics is an integral part of efficient cloud resource management, and this book gives a future research direction to researchers in this domain. It is written by leading international researchers. The book is ideal for researchers who are working in the domain of cloud computing.

"This book focuses on the challenges of distributed systems imposed by the data intensive applications, and on the different state-of-the-art solutions proposed to overcome these challenges"--Provided by publisher.

This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with technical skills in order to generate, manage and efficiently analyse big data. These technical skills can easily be enhanced by good theoretical foundations, developed from well-chosen practical examples and inspiring new strategies. This is the innovative approach of Computational Life Sciences-Data Engineering and Data Mining for Life Sciences: We present basic concepts, advanced topics and emerging technologies, introduce algorithm design and programming principles, address data mining and knowledge discovery as well as applications arising from real projects. Chapters are largely independent and often flanked by illustrative examples and practical advise.

As information systems used for research and educational purposes have become more complex, there has been an increase in the need for new computing architecture. High performance and cloud computing provide reliable and cost-effective information technology infrastructure that enhances research and educational processes. Handbook of Research on High Performance and Cloud Computing in Scientific Research and Education presents the applications of cloud computing in various settings, such as scientific research, education, e-learning, ubiquitous learning, and social computing. Providing various examples, practical solutions, and applications of high performance and cloud computing; this book is a useful reference for professionals and researchers discovering the applications of information and communication technologies in science and education, as well as scholars seeking insight on how modern technologies support scientific research.