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Cloud Computing: Principles, Systems and Applications

ISBN-13: 9783319546445 / Angielski / Twarda / 2017 / 410 str.

Nick Antonopoulos; Lee Gillam
Cloud Computing: Principles, Systems and Applications Antonopoulos, Nick 9783319546445 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Cloud Computing: Principles, Systems and Applications

ISBN-13: 9783319546445 / Angielski / Twarda / 2017 / 410 str.

Nick Antonopoulos; Lee Gillam
cena 724,58
(netto: 690,08 VAT:  5%)

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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.

Kategorie:
Informatyka, Bazy danych
Kategorie BISAC:
Computers > Hardware - Cell Phones & Devices
Computers > Computer Science
Computers > Computer Architecture
Wydawca:
Springer
Seria wydawnicza:
Computer Communications and Networks
Język:
Angielski
ISBN-13:
9783319546445
Rok wydania:
2017
Wydanie:
2017
Numer serii:
000210210
Ilość stron:
410
Waga:
0.76 kg
Wymiary:
16.3 x 24.1 x 2.9
Oprawa:
Twarda
Wolumenów:
01

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
José 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, José Simão and Luís Veiga

Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments
John Panneerselvam, Lu Liu and Yao Lu

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.

This practically-focused text/reference presents a comprehensive overview of the present 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.

Compiled as a series of selected papers from leading Cloud researchers, this new edition recognizes the relative maturity of Cloud, as offers contrast to the first edition, and 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 also 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 emergence of, for example, Smart Grids and Smart Cities. As with the first edition, emphasis continues to be placed on the four quality-of-service cornerstones of efficiency, scalability, robustness, and security.

Topics and features:

  • Introduces the essential technical characteristics and concepts behind the new developments in Cloud Computing, including architectural principles, performance evaluation, and quality of service
  • Provides in-depth coverage of how Clouds can be designed to produce scientific insights and analysis, addressing agility, reproducibility, consistency and scalability, and proposing novel techniques and systems
  • Offers an overview of novel approaches in producing scalable, high performance and decentralized Cloud systems, including P2P and graphs systems, to enable fault tolerant, scalable and high performance data intensive Clouds
  • Presents ideas for federation and interoperability across Clouds, and the use of autonomic computing and other intelligent approaches to self-manage the federated Clouds
  • Includes a Foreword by Dr. Omer F. Rana, Professor of Performance Engineering at Cardiff University, UK

This authoritative volume will be especially appealing to researchers and students interested in aspects of Cloud Computing research, implementation and deployment. Professional system architects and developers, as well as technical managers and IT consultants, will also find the work to serve as an invaluable reference.



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