Cloud Computing: Principles and ParadigmsRajkumar Buyya, James Broberg, Andrzej M. Goscinski John Wiley & Sons, 17 déc. 2010 - 664 pages The primary purpose of this book is to capture the state-of-the-art in Cloud Computing technologies and applications. The book will also aim to identify potential research directions and technologies that will facilitate creation a global market-place of cloud computing services supporting scientific, industrial, business, and consumer applications. We expect the book to serve as a reference for larger audience such as systems architects, practitioners, developers, new researchers and graduate level students. This area of research is relatively recent, and as such has no existing reference book that addresses it. This book will be a timely contribution to a field that is gaining considerable research interest, momentum, and is expected to be of increasing interest to commercial developers. The book is targeted for professional computer science developers and graduate students especially at Masters level. As Cloud Computing is recognized as one of the top five emerging technologies that will have a major impact on the quality of science and society over the next 20 years, its knowledge will help position our readers at the forefront of the field. |
Table des matières
MIGRATING INTO A CLOUD | |
PARADIGM FOR THE CLOUD | |
THE ENTERPRISE CLOUD COMPUTING PARADIGM | |
VIRTUAL MACHINES PROVISIONING AND MIGRATION | |
ON THE MANAGEMENT OF VIRTUAL MACHINES | |
USING A CLUSTER AS A SERVICE | |
THE MapReduce PROGRAMMING MODEL | |
AN ARCHITECTURE FOR FEDERATED CLOUD | |
SLA MANAGEMENT IN CLOUD COMPUTING A SERVICE | |
1 Key Components of a ServiceLevel Agreement | |
PERFORMANCE PREDICTION FOR HPC ON CLOUDS | |
3 ServiceLevel Agreement of GoGrid Network | |
BEST PRACTICES IN ARCHITECTING CLOUD | |
CLOUD RESOURCES | |
COMPUTING | |
ANEKAINTEGRATION OF PRIVATE AND PUBLIC | |
CometCloud AN AUTONOMIC CLOUD ENGINE | |
TSYSTEMS CLOUDBASED SOLUTIONS FOR BUSINESS | |
DYNAMIC ICT SERVICES | |
WORKFLOW ENGINE FOR CLOUDS | |
UNDERSTANDING SCIENTIFIC APPLICATIONS | |
Placements on TG EucalyptusCloud and EC2 | |
1 Realistic Parameter Values for the Heavy VM Instantiation | |
CLOUDS | |
3 Average Response Time seconds over 24 Hours from | |
ORGANIZATIONAL READINESS AND CHANGE | |
DATA SECURITY IN THE CLOUD | |
LEGAL ISSUES IN CLOUD COMPUTING | |
ACHIEVING PRODUCTION READINESS FOR CLOUD | |
Expressions et termes fréquents
algorithm allocation Amazon EC2 Amazon S3 Amazon Web Services Aneka architecture Buyya capacity client cloud computing cloud infrastructure cloud providers cloud resources cloud services CometCloud components computing resources configuration cost data centers database deployed deployment distributed dynamic elasticity engine enterprise cloud execution FIGURE framework Google Google App grid Grid Computing Hadoop hardware hosting hybrid clouds hypervisor IaaS image registration implementation integration interfaces Internet layer lease load balancing MapReduce Mashup MetaCDN middleware migration MMOG monitoring multiple nodes offer on-demand OpenNebula operating system optimization performance physical platform policies private cloud programming public cloud replication request requirements resource provisioning runtime SaaS Salesforce.com scalable scenario scheduling server service provider solutions specific tasks tuple utility virtual clusters virtual infrastructure virtual machine virtual resources VMWare workflow workload WSDL