Cloud Computing
Description
Cloud computing has recently emerged as a subject of substantial industrial and academic interest, though its meaning and scope is hotly debated. For some researchers, clouds are a natural evolution towards the full commercialisation of grid systems, while others dismiss the term as a mere re-branding of existing pay-per-use technologies. From either perspective, "cloud" is now the label of choice for accountable pay-per-use access to third party applications and computational resources on a massive scale. Clouds support patterns of less predictable resource use for applications and services across the IT spectrum, from online office applications to high-throughput transactional services and high-performance computations involving substantial quantities of processing cycles and storage. The concept of clouds seems to blur the distinctions between a variety of technologies that encompass grid services, web services and data centres, and leads to considerations of lowered-cost provisioning for bursty applications.
This book provides comprehensive coverage of the state of the art in cloud computing, highlighting and clarifying the conceptual and systemic links with other distributed computing approaches.
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Persons
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.
Content
Part I: General Principles
The Rise of Cloud Computing in the Era of Emerging Networked Society
Bhaskar Prasad Rimal and Ian Lumb
Mirror, Mirror on the Wall, How Do I Dimension My Cloud After All?
Rafaelli Coutinho, Yuri Frota, Kary Ocaña, Daniel de Oliveira and Lúcia Drummond
A Taxonomy of Adaptive Resource Management Mechanisms in Virtual Machines: Recent Progress and Challenges
Jos
é
Simão and Luís Veiga
Part II:
Science Cloud
Exploring Cloud Elasticity in Scientific Applications
Guilherme Galante and Rodrigo Da Rosa Righi
Clouds and Reproducibility: A Way to Go to Scientific Experiments?
Ary Henrique Morais de Oliveira, Daniel de Oliveira and Marta Mattoso
Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insights
Ashiq Anjum, Sanna Aizad, Bilal Arshad, Moeez Subhani, Dominic Davies-Tagg, Tariq Abdullah and Nick Antonopoulos
Part III:
Data Cloud
Implementing MapReduce Applications in Dynamic Cloud Environments
Domenico Talia, Paolo Trunfio and Fabrizio Marozzo
High Performance Graph Data Management and Mining in Cloud Environments with X10
Miyuru Dayarathna and Toyotaro Suzumura
Part IV:
Multi-Clouds
Facilitating Cloud Federation Management via Data Interoperability
Vincent Chimaobi Emeakaroha, Philip Healy and John Morrison
Applying Self-* Principles in Heterogeneous Cloud Environments
Ioan Dragan, Teodor-Florin Fortis, Gabriel Iuhasz, Dana Petcu and Marian Neagul
Part V: Performance and Efficiency
Optimizing the Profit and QoS of Virtual Brokers in the Cloud
Santiago Iturriaga, Sergio Nesmachnow and Bernabe Dorronsoro
Adaptive Resource Allocation for Load Balancing in Cloud
Somnath Mazumdar, Alberto Scionti and Anoop S. Kumar
Cloud-Supported Certification for Energy-Efficient Web Browsing and Services
Gonçalo Avelar, Jos
é
Simão and Luís Veiga
Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments
John Panneerselvam, Lu Liu and Yao Lu