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More About This Title Trustworthy Cloud Computing
English
Introduces the topic of cloud computing with an emphasis on the trustworthiness of cloud computing systems and services
This book describes the scientific basis of cloud computing, explaining the ideas, principles, and architectures of cloud computing as well the different types of clouds and the services they provide. The text reviews several cloud computing platforms, including Microsoft Azure, Amazon, Oracle, Google, HP, IBM, Salesforce, and Kaavo. The author addresses the problem of trustworthiness in cloud computing and provides methods to improve the security and privacy of cloud applications. The end-of-chapter exercises and supplementary material on the book's companion website will allow readers to grasp the introductory and advanced level concepts of cloud computing.
- Examines cloud computing platforms such as Microsoft Azure, Amazon, Oracle, Google, HP, IBM, Salesforce, and Kaavo
- Analyzes the use of aspect-oriented programming (AOP) for refactoring cloud services and improving the security and privacy of cloud applications
- Contains practical examples of cloud computing, test questions, and end-of-chapter exercises
- Includes presentations, examples of cloud projects and other teaching resources at the author’s website (http://www.vladimirsafonov.org/cloud)
Trustworthy Cloud Computing is written for advanced undergraduate and graduate students in computer science, data science, and computer engineering as well as software engineers, system architects, system managers, and software developers new to cloud computing.
English
Vladimir O. Safonov is the Professor of Computer Science and head of the laboratory of Java Technology at St. Petersburg University. He is a leading specialist in computer science and software engineering in Russia. Professor Safonov holds four U.S. software patents, four Russian software patents, and has published 190 papers and 17 books. An IEEE Senior Member, Professor Safonov has led the IEEE Region 8 Russia North-West Computer Society/Engineering Management Society Joint Chapter since 2003.
English
Preface ix
Acknowledgments xiii
Introduction xv
1 Principles and Concepts of Cloud Computing 1
1.1 Kinds of Modern Software Architectures 1
1.2 Characteristic Features of Modern Software 3
1.3 Basic Concepts of Modern Software Architecture 4
1.4 Service-Oriented Architecture (SOA) 6
1.5 Software as A Service (SaaS) 8
1.6 Key Ideas and Principles of Cloud Computing 8
1.7 Components of Cloud Platforms and Kinds of Cloud Servicing 11
1.8 Layers of the Cloud Architecture 14
1.9 Scheme of Architecture of the Cloud 15
1.10 Roles of People in Cloud Computing 16
1.11 Standards of Cloud Computing 17
1.12 How the Clouds Come True: Organization of Datacenters and Cloud Hardware 20
1.13 Specifics and Components of Software for Cloud Computing 22
1.14 Cloud Computing-Related Trends Activities and Resources 25
Exercises to Chapter 1 29
2 Platforms of Cloud Computing 33
2.1 A Variety of Cloud Platforms: The First Impression 33
2.2 Amazon AWS Cloud Platform – A Pioneer of Cloud Computing 36
2.3 IBM Cloud 49
2.4 Oracle Cloud 58
2.5 Google Cloud Platform 64
2.6 HP Helion Cloud Platform 70
2.7 Salesforce Cloud Platform 79
Exercises to Chapter 2 88
3 Principles and Pillars of Trustworthy Computing 91
3.1 Vital Issues of Trustworthy Computing 91
3.2 The Trustworthy Computing Initiative by Microsoft 93
3.3 The Security Pillar 94
3.4 The Reliability Pillar 99
3.5 The Privacy Pillar 101
3.6 The Business Integrity Pillar 103
3.7 Tools and Software Lifecycle Models to Support Trustworthy Computing 106
Exercises to Chapter 3 110
4 Making Cloud Computing Trustworthy 113
4.1 Psychological Barriers Between the Customers and the Cloud and the Ways to Overcome Them 113
4.2 User Interface for Cloud Computing Its Convenience Usability and Functionality for Trustworthy Cloud Computing 116
4.3 Threats and Attacks to Clouds 120
4.4 Trustworthy Cloud Computing from Hardware Side: Datacenter Architecture Servers Clusters Hypervisors 124
4.5 Trustworthy Cloud Computing from Operating System Side: Desirable OS Features to Implement Clouds and Datacenters 126
4.6 Using Aspect-Oriented Programming for Refactoring Cloud Services and Making Them Trustworthy: The Contribution of St. Petersburg University 129
Exercises to Chapter 4 142
5 Example of a Trustworthy Cloud Computing Platform in Detail: Microsoft Azure 147
5.1 Overview of Microsoft Azure Architecture and its Evolution 147
5.2 User Interface and the Management Portal of Microsoft Azure 152
5.3 The Compute Component: Managing and Operating Cloud Services 161
5.4 The Storage Component: Managing and Operating Cloud Storage 178
5.5 The SQL Azure Component: The Cloud Database 187
5.6 Networking in the Azure Cloud: Network-as-a-Service (NaaS) Content Delivery Network (CDN) Virtual Network Traffic Manager 196
5.7 Active Directory in the Cloud: A Way of Structuring User Accounts 202
5.8 Development of Microsoft Azure Cloud Services with Microsoft Visual Studio 206
5.9 Visual Studio Online and its Relation to Microsoft Azure 215
5.10 Developing Mobile Services and Connected Mobile Applications for Microsoft Azure 220
5.11 Media Services 234
5.12 The .NET Platform – The Basis of Azure Implementation 237
5.13 Azure Tools 252
5.14 Machine Learning in the Cloud: Azure Machine Learning Studio 257
5.15 Parallel Processing of Big Data in the Cloud: Using Apache Hadoop in Microsoft Azure 261
5.16 Perspectives of Microsoft Azure 265
Exercises to Chapter 5 266
6 Conclusions: Perspectives of Trustworthy Cloud Computing 271
6.1 Integration of Clouds. The Intercloud IEEE Standard 271
6.2 The TCLOUDS Project by the European Union 280
6.3 Further Developments and Trends of Trustworthy Cloud Computing 291
Exercises to Conclusions 296
Appendix A Example of Microsoft Azure Cloud Service: Filemanager 299
References 309
Index 317
