Big-Data Analytics for Cloud, IoT and Cognitive Computing

2 Smart Clouds, Virtualization and Mashup Services

CHAPTER OUTLINE

1. 2.1 Cloud Computing Models and Services
   1. 2.1.1 Cloud Taxonomy based on Services Provided
   2. 2.1.2 Layered Development Cloud Service Platforms
   3. 2.1.3 Cloud Models for Big Data Storage and Processing
   4. 2.1.4 Cloud Resources for Supporting Big Data Analytics
2. 2.2 Creation of Virtual Machines and Docker Containers
   1. 2.2.1 Virtualization of Machine Resources
   2. 2.2.2 Hypervisors and Virtual Machines
   3. 2.2.3 Docker Engine and Application Containers
   4. 2.2.4 Deployment Opportunity of VMs/Containers
3. 2.3 Cloud Architectures and Resources Management
   1. 2.3.1 Cloud Platform Architectures
   2. 2.3.2 VM Management and Disaster Recovery
   3. 2.3.3 OpenStack for Constructing Private Clouds
   4. 2.3.4 Container Scheduling and Orchestration
   5. 2.3.5 VMWare Packages for Building Hybrid Clouds
4. 2.4 Case Studies of IaaS, PaaS and SaaS Clouds
   1. 2.4.1 AWS Architecture over Distributed Datacenters
   2. 2.4.2 AWS Cloud Service Offerings
   3. 2.4.3 Platform PaaS Clouds – Google AppEngine
   4. 2.4.4 Application SaaS Clouds – The Salesforce Clouds
5. 2.5 Mobile Clouds and Inter-Cloud Mashup Services
   1. 2.5.1 Mobile Clouds and Cloudlet Gateways
   2. 2.5.2 Multi-Cloud Mashup Services
   3. 2.5.3 Skyline Discovery of Mashup Services
   4. 2.5.4 Dynamic Composition of Mashup Services
6. 2.6 Conclusions

2.1 Cloud Computing Models and Services

The concept of cloud computing has evolved from cluster, grid and utility computing. Cluster and grid computing leverage the use of many computers in parallel. ...