Cloud Computing

Principles, Systems and Applications

AvNick Antonopoulos,Lee Gillam

Inbunden, Engelska, 2017

Del i serien Computer Communications and Networks

1 987 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2017-06-12
Mått:155 x 235 x 29 mm
Vikt:756 g
Format:Inbunden
Språk:Engelska
Serie:Computer Communications and Networks
Antal sidor:410
Upplaga:2
Förlag:Springer International Publishing AG
ISBN:9783319546445

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Nätverk och kommunikation inom Data och IT

Mer om författaren

Prof. Nick Antonopoulos is Dean of the College of Engineering and Technology, and Head of Research Excellence at the University of Derby, UK.Dr. Lee Gillam is Editor-in-Chief of the Journal of Cloud Computing, and Director of Learning and Teaching and Senior Lecturer in the Department of Computer Science at the University of Surrey, UK.

Innehållsförteckning

Part I: General Principles.- The Rise of Cloud Computing in the Era of Emerging Networked Society.- Mirror, Mirror on the Wall, How Do I Dimension My Cloud After All?.- A Taxonomy of Adaptive Resource Management Mechanisms in Virtual Machines: Recent Progress and Challenges.- Part II: Science Cloud.- Exploring Cloud Elasticity in Scientific Applications.- Clouds and Reproducibility: A Way to Go to Scientific Experiments?.- Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insights.- Part III: Data Cloud.- Implementing MapReduce Applications in Dynamic Cloud Environments.- High Performance Graph Data Management and Mining in Cloud Environments with X10.- Part IV: Multi-Clouds.- Facilitating Cloud Federation Management via Data Interoperability.- Applying Self-* Principles in Heterogeneous Cloud Environments.- Part V: Performance and Efficiency.- Optimizing the Profit and QoS of Virtual Brokers in the Cloud.- Adaptive Resource Allocation for Load Balancing in Cloud.- Cloud-Supported Certification for Energy-Efficient Web Browsing and Services.- Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments.