Department Events
Cloud Computing
Course Objectives
The course enables the students to
- Define the broad perceptive of cloud architecture, cloud models and service models.
- Describe the data center design and architectural design of cloud computing.
- Demonstrate the types of virtualization software with the help of various examples.
- Differentiate between the leading players in cloud computing and services provided by them.
- Evaluate the security services provided in cloud computing in different domains.
- Formulate applications of cloud computing for various fields.
Course Outcomes(COs):
Learning outcomes (at course level) | Learning and teaching strategies | Assessment Strategies |
CO84. Define the basics of cloud computing and know the use of cloud computing models in various domains.
CO85. Describe the data center design and how data storage is done at cloud.
CO86. Demonstrate various types of virtualization techniques and hypervisor software for virtualization.
CO87. Evaluate the data security techniques and Service Level Agreement implementation.
CO88. Formulate cloud computing solutions. | Approach in teaching: Interactive Lectures, Discussion, Tutorials, Reading assignments, Demonstration, Team teaching, Research Papers
Learning activities for the students: Self-learning assignments, Effective questions, Seminar presentation, Giving tasks
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Introduction of Cloud Computing: Nutshell of cloud computing, Enabling Technology, Vision, feature Characteristics and components of Cloud Computing. Challenges, Risks and Approaches of Migration into Cloud. , Layer and Types of Clouds, Services models, Cloud Reference Model.
Cloud Computing Architecture: Data center Design and interconnection Network, Architectural design of Compute and Storage Clouds. Cloud Programming and Software: Features of cloud programming, Parallel and distributed programming paradigms-MapReduce, Hadoop , High level Language for Cloud. Service Oriented Architecture – REST and Systems of Systems – Web Services – Publish Subscribe Model
Virtualization Technology: Definition, Understanding and Benefits of Virtualization. Implementation Level of Virtualization, Virtualization Structure/Tools and Mechanisms, Hypervisor VMware, KVM, Xen. Virtualization: of CPU, Memory, I/O Devices, Virtual Cluster and Resources Management, Virtualization of Server , Desktop, Network, and Virtualization of data-center.
Securing the Cloud: Cloud Information security fundamentals, Cloud security services, Design principles, Policy Implementation, Cloud Computing Security Challenges, Cloud Computing Security Architecture. Legal issues in cloud Computing. Data Security in Cloud: Risk Mitigation , Understanding and Identification of Threats in Cloud, SLA-Service Level Agreements, Trust Management
Cloud Platforms in Industry: Amazon web services, Google AppEngine, Microsoft Azure Design, Aneka: Cloud Application Platform -Integration of Private and Public Clouds Cloud applications: Protein structure prediction, Data Analysis, Satellite Image Processing, CRM and ERP, Social networking. Cloud Application- Scientific Application, Business Application.
· Cloud Computing ,Principle and Paradigms, Edited By Rajkumar Buyya, Jemes Broberg, A. Goscinski, Pub.- Wiley-2016
· Kumar Saurabh, “Cloud Computing” , Wiley Pub 2016
· Distributed and Cloud Computing, Kai Hawang , Geofrey C. Fox, Jack J. Dongarra Pub: Elservier, 2013
· Krutz , Vines, “Cloud Security “ , Wiley Pub,2010
· Velte, “Cloud Computing- A Practical Approach” ,TMH Pub,2009
· Katarina Stanoevska-Slabeva, Thomas Wozniak, SantiRistol, “Grid and Cloud Computing – A Business Perspective on Technology and Applications”, Springer,2010
