Digital technologies should be making life easier. And to a large degree they are, transforming everyday tasks of work, consumption, communication, travel and play. But they are also accelerating and fragmenting our lives affecting our well-being and exposing us to extensive data extraction and profiling that helps determine our life chances. Initially, the COVID-19 pandemic lockdown seemed to create new opportunities for people to practice ‘slow computing’, but it quickly became clear that it was as difficult, if not more so, than during normal times. Is it then possible to experience the joy and benefits of computing, but to do so in a way that asserts individual and collective autonomy over our time and data? Drawing on the ideas of the ‘slow movement’, Slow Computing sets out numerous practical and political means to take back control and counter the more pernicious effects of living digital lives.

Digital technologies should be making life easier. And to a large degree they are, transforming everyday tasks of work, consumption, communication, travel and play. But they are also accelerating and fragmenting our lives affecting our well-being and exposing us to extensive data extraction and profiling that helps determine our life chances. Initially, the COVID-19 pandemic lockdown seemed to create new opportunities for people to practice ‘slow computing’, but it quickly became clear that it was as difficult, if not more so, than during normal times. Is it then possible to experience the joy and benefits of computing, but to do so in a way that asserts individual and collective autonomy over our time and data? Drawing on the ideas of the ‘slow movement’, Slow Computing sets out numerous practical and political means to take back control and counter the more pernicious effects of living digital lives.

Summary: This work combines selected papers from a July 2008 workshop held in Cetraro, Italy, with invited papers by international contributors. Material is in sections on algorithms and scheduling, architectures, GRID technologies, cloud technologies, information processing and applications, and HPC and GRID infrastructures for e-science. B&w maps, images, and screenshots are used to illustrate topics such as nondeterministic coordination using S-Net, cloud computing for on-demand grid resource provisioning, grid computing for financial applications, and the evolution of research and education networks and their essential role in modern science. There is no subject index. The book's readership includes computer scientists, IT engineers, and managers interested in the future development of grids, clouds, and large-scale computing. Gentzsch is affiliated with the DEISA Project and Open Grid Forum, Germany.

Advanced Topics in End User Computing features the latest research findings dealing with end user computing concepts, issues, and trends. Empirical and theoretical research concerned with all aspects of end user computing including development, utilization, and management are included. Volume three is specifically interested in those studies that show a significant contribution by relating end user computing to end user satisfaction, end user productivity, and strategic and competitive advantage. *Note: This book is part of a new series entitled ?Advanced Topics in End User Computing?. This book is Volume Three within this series (Vol. III, 2004).

This book constitutes the refereed proceedings of the Third International Conference on Security in Pervasive Computing, SPC 2006, held in York, UK, in April 2006. The 16 revised papers presented together with the extended abstract of 1 invited talk were carefully reviewed and selected from 56 submissions. The papers are organized in topical sections on protocols, mechanisms, integrity, privacy and security, information flow and access control, and authentication.

Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its theory and applications, including the use of cognitive computing to manage renewable energy, the environment, and other scarce resources, machine learning models and algorithms, biometrics, Kernel Based Models for transductive learning, neural networks, graph analytics in cyber security, neural networks, data driven speech recognition, and analytical platforms to study the brain-computer interface. - Comprehensively presents the various aspects of statistical methodology - Discusses a wide variety of diverse applications and recent developments - Contributors are internationally renowned experts in their respective areas

Reconfigurable Computing marks a revolutionary and hot topic that bridges the gap between the separate worlds of hardware and software design— the key feature of reconfigurable computing is its groundbreaking ability to perform computations in hardware to increase performance while retaining the flexibility of a software solution. Reconfigurable computers serve as affordable, fast, and accurate tools for developing designs ranging from single chip architectures to multi-chip and embedded systems. Scott Hauck and Andre DeHon have assembled a group of the key experts in the fields of both hardware and software computing to provide an introduction to the entire range of issues relating to reconfigurable computing. FPGAs (field programmable gate arrays) act as the "computing vehicles to implement this powerful technology. Readers will be guided into adopting a completely new way of handling existing design concerns and be able to make use of the vast opportunities possible with reconfigurable logic in this rapidly evolving field. - Designed for both hardware and software programmers - Views of reconfigurable programming beyond standard programming languages - Broad set of case studies demonstrating how to use FPGAs in novel and efficient ways