Sbyte Technologies
Contents of Cloud Computing course


Chapter 1 Introduction
1.1 Cloud and dynamic infrastructure
1.2 Cloud computing delivery models and services
1.3 Cloud computing characteristics and cloud adopting
1.4 Cloud computing at Amazon
Chapter 2 Measured Service, Cloud Models
2.1 Security in public cloud, public versus private clouds
2.2.Cloud infrastructure self service
2.3 Gamut of Cloud solutions, Principal technologies
2.4 Cloud strategy
2.5 Cloud Design
2.6 Amazon Web Services
2.7 Cloud computing, the Google perspective
2.8 Microsoft Windows Azure and Online Services
Chapter 3 Implementation using SOA
3.1 Conceptual Cloud Model
3.2 Cloud Service Defined
3.3 Software platform management services
3.4 Service Management system supply
3.5 Cloud Analytics, Testing , Information Security
3.6 Virtual Desktop Infrastructure
Chapter 4 High Availability (HA) and Disaster Recovery (DR)
4.1 Cloud Chargeback Models
4.2 Open source software for private clouds
4.3 Cloud storage diversity and vendor lock-in
4.4 Ecological Impact
4.5 Service level agreements, User experience
4.6 Software licensing
4.7 Challenges of Cloud Computing
4.8 Architectural styles for cloud computing
Chapter 5 Coordination of multiple activities
5.1 A parallel between workflows and programs
5.2 MapReduce
5.3 Cloud for Science and Engineering
5.4 High performance computing on a cloud
5.5 Cloud computing for biology research
5.6 Social computing
5.7 Relation between digital content & cloud computing
Chapter 6 Layering and virtualization
6.1 Virtualization defined, server virtualization
6.2 Virtualization Benefits
6.3 Virtual machines
6.4 Performance and Security Isolation
6.5 Full virtualization and paravirtualization
6.6 Hardware support for virtualization
6.7 Case study
6.8 vBlades
6.9 Performance comparison of virtual machines
6.10 The darker side of virtualization
6.11 Hypervisor Management Software
6.12 Logical Partitioning
6.13 Virtual infrastructure requirements
Chapter 7 Policies and mechanisms(resource management)
7.1 Applications of control theory on a cloud
7.2 Stability of a two-level resource allocation architecture
7.3 Feedback control based on dynamic thresholds
7.4 Coordination of specialized performance managers
7.5 Utility based model for cloud-based Web services
Chapter 8 Resource bundling and Combinatorial auctions
8.1 Pricing and allocation algorithms
8.2 Scheduling algorithms for computing clouds
8.3 Fair queuing
8.4 Cloud scheduling subject to deadlines
8.5 Resource management & dynamic application scaling
8.6 Privacy: privacy impact assessment
8.7 Security risks posed by shared images
8.8 A trusted virtual machine monitor
Chapter 9 Amazon Web Services
9.1 Security rules for transport-layer protocols
9.2 How to use S3 in Java
9.3 Cloud-based simulation of distributed trust algorithm
9.4 A cloud service for adaptive data streaming
9.5 Cloud-based optimal FPGA synthesis
9.6 SOA Journey to Infrastructure



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