Computational systems are a dominating part of daily lives and a required support for most of the Engineering sciences. Many important issues need be studied, monitored, and predicted to the use of these technologies for development; a Computational Science and Engineering (CSE) is core to all engineering sciences. As a result, computational systems are seeing worldwide growth of services to all user domains: public or private, military or government, education or industry, healthcare or finance, science or entertainment. The use of computational technologies (e.g. big data, high performance clusters, databases and information systems, integrated and embedded hardware/software components, smart devices, mobile and pervasive networks, cyber physical systems, etc.) requires many important theoretical, methodological, technical and scaling issues to be studied, monitored, and predicted, in order to save time, reduce costs and add value to social capital. With a highly selective set of contributions, this book aims to provide an overview of advanced perspectives in this domain, while bridging the gap between frontline research and practical efforts. It is unique in showing the interdisciplinary nature of this area and the way in which it interacts with emerging technologies and techniques. This handbook is unique in presenting the views of frontline researchers on computational systems theory and applications in one holistic scope, but with focus on key aspects and requirements: Computational Science and Engineering High Performance Computing Big Data Reproducibility Computational systemS
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