Overview of Computing Paradigm: Recent trends in Computing -Grid
Computing, Cluster Computing, Distributed Computing, Utility Computing,
Cloud Computing.

Introduction to Cloud Computing: Vision of Cloud Computing, Defining a
Cloud, Cloud delivery Model, Deployment Model, Characteristics, Benefits of
Cloud Computing, Challenges ahead. Cloud computing vs. Cluster computing
vs. Grid computing.

Migrating into a Cloud: Introduction, Broad approaches to Migrating into the
Cloud, The Seven-Step Model of Migration Into a Cloud.

Virtualization: Introduction, Characteristics of Virtualized environment,
Taxonomy of Virtualization techniques, Virtualization and Cloud Computing,
Pros and Cons of Virtualization, Hypervisor Technology Examples- Xen,
VMware, Microsoft Hyper-V.

Capacity Planning: Elasticity vs Scalability, Introduction, Defining Baseline
and Metrics-Baseline Measurements, System Metrics, Load Testing, Resource
Ceilings, Server and Instance types; Network Capacity, Scaling.

SLA Management in Cloud Computing: Inspiration, Traditional
Approaches to SLO Management, Types of SLA, Life Cycle of SLA, SLA
management in Cloud. Automated Policy-based management.

Securing Cloud services: Cloud Security, Securing Data- Brokered Cloud
Storage Access, Storage location and tenancy, Encryption, Auditing and
compliance. Steps to ensure security over cloud

Cloud Platforms in Industry: Amazon Web Services-Compute Services,
Storage Services, Communication Services, Additional Services. Google
AppEngine-Architecture and Core Concepts, Application Life Cycle. Cost
Model. Microsoft Azure-Azure Core Concepts, SQL Azure, Windows Azure
Platform Appliance.