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Subject Syllabus

AL604 (A) - Cloud Computing

AIML · Semester 6

Course Modules

Learn topic-wise with Hyper AI and revise using mapped PYQs.

Characteristics, components Business and IT perspective Cloud services requirements Cloud models Security in public model Public verses private clouds Cloud computing platforms: Amazon EC2 Platform as Service: Google App Engine, Microsoft Azure Utility Computing, Elastic Computing

SAAS, PAAS, IAAS Cloud design and implementation using SOA Conceptual cloud model, cloud stack Computing on demand Information life cycle management Cloud analytics Information security Virtual desktop infrastructure Storage cloud

Definition, benefits Sensor virtualization HVM Study of hypervisor Logical partitioning - LPAR Storage virtualization, SAN, NAS Cloud server virtualization Virtualized data center

Cloud security fundamentals Vulnerability assessment tool for cloud Privacy and Security in cloud Cloud computing security architecture: Architectural Considerations - General Issues Trusted Cloud computing Secure Execution Environments and Communications Micro architectures Identity Management and Access control - Identity management, Access control, Autonomic Security Cloud computing security challenges: Virtualization security management virtual threats VM Security Recommendations, VM-Specific Security techniques Secure Execution Environments and Communications in cloud

SOA and cloud, SOA and IAAS Cloud infrastructure benchmarks OLAP, business intelligence, e-Business, ISV Cloud performance monitoring commands Issues in cloud computing QOS issues in cloud Mobile cloud computing Inter cloud issues, Sky computing Cloud Computing Platform: Xen Cloud Platform, Eucalyptus, OpenNebula, Nimbus, TPlatform Apache Virtual Computing Lab (VCL)Anomaly Elastic Computing Platform