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Bibliografische Details

Titel: Cloud Computing : Principles, Systems and ...

Verlag: Springer

Erscheinungsdatum: 2017

Einband: Hardcover

Zustand: good

Auflage: 2. Auflage

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Inhaltsangabe:

THIS PRACTICALLY-FOCUSED REFERENCE PRESENTS A COMPREHENSIVE OVERVIEW OF THE STATE OF THE ART IN CLOUD COMPUTING, AND EXAMINES THE POTENTIAL FOR FUTURE CLOUD AND CLOUD-RELATED TECHNOLOGIES TO ADDRESS SPECIFIC INDUSTRIAL AND RESEARCH CHALLENGES. THIS NEW EDITION EXPLORES BOTH ESTABLISHED AND EMERGENT PRINCIPLES, TECHNIQUES, PROTOCOLS AND ALGORITHMS INVOLVED WITH THE DESIGN, DEVELOPMENT, AND MANAGEMENT OF CLOUD-BASED SYSTEMS. THE TEXT REVIEWS A RANGE OF APPLICATIONS AND METHODS FOR LINKING CLOUDS, UNDERTAKING DATA MANAGEMENT AND SCIENTIFIC DATA ANALYSIS, AND ADDRESSING REQUIREMENTS BOTH OF DATA ANALYSIS AND OF MANAGEMENT OF LARGE SCALE AND COMPLEX SYSTEMS. THIS NEW EDITION ALSO EXTENDS INTO THE EMERGENT NEXT GENERATION OF MOBILE TELECOMMUNICATIONS, RELATING NETWORK FUNCTION VIRTUALIZATION AND MOBILE EDGE CLOUD COMPUTING, AS SUPPORTS SMART GRIDS AND SMART CITIES. AS WITH THE FIRST EDITION, EMPHASIS IS PLACED ON THE FOUR QUALITY-OF-SERVICE CORNERSTONES OF EFFICIENCY, SCALABILITY, ROBUSTNESS, AND SECURITY.

Rese�a del editor:

This practically-focused reference presents a comprehensive overview of the state of the art in Cloud Computing, and examines the potential for future Cloud and Cloud-related technologies to address specific industrial and research challenges. This new edition explores both established and emergent principles, techniques, protocols and algorithms involved with the design, development, and management of Cloud-based systems. The text reviews a range of applications and methods for linking Clouds, undertaking data management and scientific data analysis, and addressing requirements both of data analysis and of management of large scale and complex systems. This new edition also extends into the emergent next generation of mobile telecommunications, relating network function virtualization and mobile edge Cloud Computing, as supports Smart Grids and Smart Cities. As with the first edition, emphasis is placed on the four quality-of-service cornerstones of efficiency, scalability, robustness, and security.

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