Christian Baun

Marcel Kunze

Stefan Tai

Jens Nimis

Cloud computing is a buzz-word in today’s information technology (IT) that nobody can escape. But what is really behind it? There are many interpretations of this term, but no standardized or even uniform definition. Instead, as a result of the multi-faceted viewpoints and the diverse interests expressed by the various stakeholders, cloud computing is perceived as a rather fuzzy concept. With this book, the authors deliver an overview of cloud computing architecture, services, and applications. Their aim is to bring readers up to date on this technology and thus to provide a common basis for discussion, new research, and novel application scenarios. They first introduce the foundation of cloud computing with its basic technologies, such as virtualization and Web services. After that they discuss the cloud architecture and its service modules. The following chapters then cover selected commercial cloud offerings (including Amazon Web Services and Google App Engine) and management tools, and present current related open-source developments (including Hadoop, Eucalyptus, and Open CirrusTM). Next, economic considerations (cost and business models) are discussed, and an evaluation of the cloud market situation is given. Finally, the appendix contains some practical examples of how to use cloud resources or cloud applications, and a glossary provides concise definitions of key terms. The authors’ presentation does not require in-depth technical knowledge. It is equally intended as an introduction for students in software engineering, web technologies, or business development, for professional software developers or system architects, and for future-oriented decision-makers like top executives and managers.

Web-Based Dynamic IT Services

Cloud Computing

Memory management, hardware management, process administration and interprocess communication are central areas of operating systems. The concepts and principles on which classical and modern operating systems are based are explained by the author using relevant tasks and solutions. The work thus provides a comprehensible introduction to the architecture of operating systems and is therefore also suitable for teaching in the bachelor's program. Uniquely, the book presents all content bilingually: in two columns, the German and English texts appear side by side, so that readers can improve their language skills and vocabulary at the same time. Speicherverwaltung, Hardwareverwaltung, Prozessadministration und Interprozesskommunikation sind zentrale Bereiche von Betriebssystemen. Die Konzepte und Prinzipien, auf denen klassische und moderne Betriebssysteme basieren, erläutert der Autor anhand von einschlägigen Aufgabenstellungen und Lösungen. Das Werk gibt damit eine verständliche Einführung in die Architektur von Betriebssystemen und eignet sich deshalb auch für die Lehre im Bachelorstudium. Memory management, hardware management, process administration and interprocess communication are central areas of operating systems. The concepts and principles on which classical and modern operating systems are based are explained by the author using relevant tasks and solutions. The work thus provides a comprehensible introduction to the architecture of operating systems and is therefore also suitable for teaching in the bachelor's program.

Bilingual Edition: English – German / Zweisprachige Ausgabe: Englisch – Deutsch

Operating Systems / Betriebssysteme

Günther Bengel

Karl-Uwe Stucky

Das Buch bietet eine systematische Darstellung des Stands der Technik und der aktuellen Entwicklungen auf dem Gebiet des parallelen und verteilten Rechnens. Es stellt alle relevanten Hardwarearchitekturen für Multiprozessoren und Multicoreprozessoren sowie ihre Betriebssysteme bis hin zum Google-Cluster vor. Das parallele Programmieren bildet einen Schwerpunkt des Werkes. Dazu gehören Client-Server-Modelle und Serviceorientierte Architekturen sowie Programmiermodelle für unterschiedliche Speicherarchitekturen. Eine ausführliche Erläuterung von Leistungsmaßen, Parallelisierungstechniken und verteilten Algorithmen zeigt dem Programmierer Möglichkeiten und Grenzen der Verteilung auf. Methoden der statischen und der dynamischen Rechenlastverteilung sind ebenso enthalten wie moderne Virtualisierungstechniken. Die abschließenden Kapitel über Cluster- und Grid-Computing geben Einblick in die aktuellen Themen des Gebiets und einen Ausblick auf die zukünftigen Entwicklungen.

Grundlagen und Programmierung von Multicoreprozessoren, Multiprozessoren, Cluster und Grid

Masterkurs Parallele und Verteilte Systeme

Christian Baun

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