Pre-requisites: CA727, CA726
Objective:To learn the various concept of Distributed and Cloud computing and to study the Architecture and service models in Cloud computing.
1.Distributed Systems Models and Enabling Technologies: Scalable Computing – Technologies for Network-Based Systems – System Models for Distributed and Cloud Computing – Software Environments for Distributed and Clouds – Performance, Security and Energy Efficiency
2.Virtualization concepts: Implementation Levels of Virtualization – Virtualization Structures
-Tools and Mechanisms – Virtualization of CPU, Memory and I/O Devices – Virtual Clusters and Resource Management – Virtualization for Data-Center Automation, Introduction to Various Virtualization OS - VMware, KVM, Xen.
3.Service-Oriented Architecture for Distributed Computing: Services and SOA – Message-Oriented Middleware – Portals and Science Gateways – Discovery-Registries-Metadata - Workflow in SOA
4.Cloud Computing and Service Models – Data-center Design and Interconnection Networks – Architectural Design of Compute and Storage Clouds – Public cloud Platforms – Inter-cloud Resource Management – Cloud Security and Trust Management
5.Cloud Programming and Software Environments – Features of Cloud and Grid Platforms – Parallel and Distributed Paradigms – Programming Support of Google App Engine – Amazon AWS and Microsoft Azure - Emerging Cloud Software Environments
REFERENCES:
1.Kai Hwang, Geoffrey C.Fox, and Jack J. Dongarra, ”Distributed and Cloud Computing”, Elsevier India Private Limited, 2012.
2.Foster and Kesselman, “The Grid : Blueprint for a New Computing Infrastructure”,Morgan Kauffman publishers Inc.2004
3.Coulouris, Dollimore and Kindber, “Distributed System: Concept and Design”, Fifth Edition, Addison Wesley, 2011.
4.Michael Miller, “Cloud Computing”, Dorling Kindersley India,2009.
