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Cloud Computing Patterns
The current work provides CIOs, software architects, project managers, developers, and cloud strategy initiatives with a set of architectural patterns that offer nuggets of advice on how to achieve common cloud computing-related goals. The cloud computing patterns capture knowledge and experience in an abstract format that is independent of concrete vendor products. Readers are provided with a toolbox to structure cloud computing strategies and design cloud application architectures. By using this book cloud-native applications can be implemented and best suited cloud vendors and tooling for individual usage scenarios can be selected. The cloud computing patterns offer a unique blend of acad...
Buildings and Semantics
The built environment has been digitizing rapidly and is now transforming into a physical world that is at all times supplemented by a fully web-supported and interconnected digital version, often referred to as Digital Twin. This book shows how diverse data models and web technologies can be created and used for the built environment. Key features of this book are its technical nature and technical detail. The first part of the book highlights a large diversity of IT techniques and their use in the AEC domain, from JSON to XML to EXPRESS to RDF/OWL, for modelling geometry, products, properties, sensor and energy data. The second part of the book focuses on diverse software solutions and approaches, including digital twins, federated data storage on the web, IoT, cloud computing, and smart cities. Key research and strategic development opportunities are comprehensively discussed for distributed web-based building data management, IoT integration and cloud computing. This book aims to serve as a guide and reference for experts and professionals in AEC computing and digital construction including Master's students, PhD researchers, and junior to senior IT-oriented AEC professionals.
New Frontiers in High Performance Computing and Big Data
For the last four decades, parallel computing platforms have increasingly formed the basis for the development of high performance systems primarily aimed at the solution of intensive computing problems, and the application of parallel computing systems has also become a major factor in furthering scientific research. But such systems also offer the possibility of solving the problems encountered in the processing of large-scale scientific data sets, as well as in the analysis of Big Data in the fields of medicine, social media, marketing, economics etc. This book presents papers from the International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, ...
Efficiently Conducting Quality-of-Service Analyses by Templating Architectural Knowledge
Previously, software architects were unable to effectively and efficiently apply reusable knowledge (e.g., architectural styles and patterns) to architectural analyses. This work tackles this problem with a novel method to create and apply templates for reusable knowledge. These templates capture reusable knowledge formally and can efficiently be integrated in architectural analyses.
High Performance Computing in Clouds
This book brings a thorough explanation on the path needed to use cloud computing technologies to run High-Performance Computing (HPC) applications. Besides presenting the motivation behind moving HPC applications to the cloud, it covers both essential and advanced issues on this topic such as deploying HPC applications and infrastructures, designing cloud-friendly HPC applications, and optimizing a provisioned cloud infrastructure to run this family of applications. Additionally, this book also describes the best practices to maintain and keep running HPC applications in the cloud by employing fault tolerance techniques and avoiding resource wastage. To give practical meaning to topics cove...
Enterprise-Content-Management-Systeme als Leistung im Cloud Computing
Die allgemein zunehmende wirtschaftliche Dynamik zwingt die Unternehmen heutzutage zu der Suche nach Wegen, um ihre Wettbewerbsfähigkeit zu sichern. Eine Möglichkeit auf diese Veränderungen reagieren zu können, bietet die flexiblere Gestaltung der eigenen Kostenstruktur. Besonderes Augenmerk liegt auf dem Bereich der Informationstechnologie (IT). Moderne Business-Anwendungen werden immer umfangreicher und verursachen komplexe IT-Landschaften, die mit kapitalintensiven Investitionen verbunden sind. Um diese Kapitalbindung zukünftig zu vermeiden, die Liquidität zu erhöhen und somit finanzielle Flexibilität zu erlangen, bietet sich die Nutzung von IT-Diensten im Cloud Computing-Modell an. Das Cloud Computing ermöglicht IT-Ressourcen bedarfsgerecht zu beziehen und damit fixe Kosten variabel zu gestalten.
Die Datenweitergabe im Rahmen des Cloud Computings unter besonderer Betrachtung von Unterauftragsverhältnissen
Die Nutzung online bereitgestellter Hard- und Software im Rahmen des Cloud Computings verspricht viele Vorzüge gegenüber dem traditionellen Bezug von IT. Der größte Vorteil wird in der flexiblen, skalierbaren und kostengünstigen Nutzung von Cloudservices gesehen. Dieser Kosten- und Flexibilitätsvorteil beruht vor allem auf der Architektur von Public Clouds. In der Wahrnehmung der Nutzer ist eine Public Cloud ein einzelnes System, tatsächlich setzt sich diese in der Regel jedoch aus vielen Servern und Rechenzentren zusammen, die über die ganze Welt verteilt sein können. Ohne die eingebundenen Ressourcen von Unterauftragnehmern ist die Erbringung von Cloudservices häufig gar nicht erst möglich. Diese mitunter intransparenten Strukturen des Cloud Computings und die Vielzahl der an der Serviceerbringung beteiligten Akteure erschweren die Erfüllung datenschutzrechtlicher Vorgaben. Die vorliegende Arbeit untersucht aktuelle datenschutzrechtliche Herausforderungen bei der Nutzung von Cloudservices. Insbesondere wird dargestellt und bewertet, welche rechtlichen Instrumente zur Einbindung von Unterauftragnehmern zur Verfügung stehen.
