Cloud Computing
Principles, Systems and Applications
Samenvatting
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.
Specificaties
Inhoudsopgave
<p>The Rise of Cloud Computing in the Era of Emerging Networked Society<br>Bhaskar Prasad Rimal and Ian Lumb</p>
<p>Mirror, Mirror on the Wall, How Do I Dimension My Cloud After All?<br>Rafaelli Coutinho, Yuri Frota, Kary Ocaña, Daniel de Oliveira and Lúcia Drummond</p>
<p>A Taxonomy of Adaptive Resource Management Mechanisms in Virtual Machines: Recent Progress and Challenges<br>José Simão and Luís Veiga</p>
<p>Part II: Science Cloud<br></p>
<p>Exploring Cloud Elasticity in Scientific Applications<br>Guilherme Galante and Rodrigo Da Rosa Righi</p>
<p>Clouds and Reproducibility: A Way to Go to Scientific Experiments?<br>Ary Henrique Morais de Oliveira, Daniel de Oliveira and Marta Mattoso</p>
<p>Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insights<br>Ashiq Anjum, Sanna Aizad, Bilal Arshad, Moeez Subhani, Dominic Davies-Tagg, Tariq Abdullah and Nick Antonopoulos</p>
<p>Part III: Data Cloud<br></p>
<p>Implementing MapReduce Applications in Dynamic Cloud Environments<br>Domenico Talia, Paolo Trunfio and Fabrizio Marozzo</p>
<p>High Performance Graph Data Management and Mining in Cloud Environments with X10<br>Miyuru Dayarathna and Toyotaro Suzumura</p>
<p>Part IV: Multi-Clouds<br></p>
<p>Facilitating Cloud Federation Management via Data Interoperability<br>Vincent Chimaobi Emeakaroha, Philip Healy and John Morrison</p>
<p>Applying Self-* Principles in Heterogeneous Cloud Environments<br>Ioan Dragan, Teodor-Florin Fortis, Gabriel Iuhasz, Dana Petcu and Marian Neagul</p>
<p>Part V: Performance and Efficiency</p>
<p>Optimizing the Profit and QoS of Virtual Brokers in the Cloud<br>Santiago Iturriaga, Sergio Nesmachnow and Bernabe Dorronsoro</p>
<p>Adaptive Resource Allocation for Load Balancing in Cloud<br>Somnath Mazumdar, Alberto Scionti and Anoop S. Kumar</p>
<p>Cloud-Supported Certification for Energy-Efficient Web Browsing and Services<br>Gonçalo Avelar, José Simão and Luís Veiga</p>
<p>Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments<br>John Panneerselvam, Lu Liu and Yao Lu</p>
