Download PDF Cloud Computing Theory and Practice by Dan C. Marinescu

Sinopsis

The last decades have reinforced the idea that information processing can be done more efficiently centrally, on large farms of computing and storage systems accessible via the Internet. When computing resources in distant data centers are used rather than local computing systems, we talk about network-centric computing and network-centric content. Advancements in networking and other areas are responsible for the acceptance of the two new computing models and led to the grid computing movement in the early 1990s and, since 2005, to utility computing and cloud computing. In utility computing the hardware and software resources are concentrated in large data centers and  users can pay as they consume computing, storage, and communication resources. Utility computing often requires a cloud-like infrastructure, but its focus is on the business model for providing the computing services. Cloud computing is a path to utility computing embraced by major IT companies such as Amazon, Apple, Google, HP, IBM, Microsoft, Oracle, and others.
 

Cloud computing delivery models, deployment models, defining attributes, resources, and organization of the infrastructure discussed in this chapter are summarized in Figure 1.1. There are three cloud delivery models: Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and Infrastructure-as-a- Service (IaaS), deployed as public, private, community, and hybrid clouds.

Content

1. Introduction
2. Parallel and Distributed Systems
3. Cloud Infrastructure
4. Cloud Computing: Applications and Paradigms
5. Cloud Resource Virtualization
6. Cloud Resource Management and Scheduling
7. Networking Support
8. Storage Systems
9. Cloud Security
10. Complex Systems and Self-Organization
11. Cloud Application Development

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