Course curriculum

  • 1

    Unit-1

    • Introduction to CC

    • Computing paradigm: high performance computing, Parallel computing, distributed computing, Challenges in Distributed computing, cluster computing, Grid computing.

    • Cloud, bio, mobile, Quantum, optical and Nano computing
  • 2

    UNIT-2

    • Motivation for CC

    • Principles of CC
  • 3

    UNIT-3

    • CC Architecture and mgmt

    • N/W connectivity in CC, facets in private networks, Applications on the cloud, managing the cloud, Aproaches for cloud migration,

    • GPU programming model, Advances in cpu processors, GPU computing to exa scale and beyond,

  • 4

    UNIT-4

    • Cloud service model, Infrastructure as a service,

    • Plat form as a service, Software as a service,

  • 5

    UNIT-5

    • Cloud service providers, Virtualization, Captiva cloud toolkit,

    • Cloud service providers, Google, Cloud storage, Google cloud connect, Amazon web services, Windows Azure,

    • Microsoft, IBM, IBM smart cloud, SAP Labs,

    • Sales force, Rackspace, VMWare, Manjrasoft,

  • 6

    GRID&CLOUD COMPUTING-UNIT-1

    • "cloud computing: History of Cloud Computing"

    • "Distributed Computing: Parallel Computing Distributed system families Scalable Computing trends and new paradigms Degrees of parallelism Trend toward utility computing Innovative applications The hype cycle of new technologies Technologies for network ba

    • "Scalable Computing over the internet: The age of internet computing The platform evolution HPC and HTC systems High performance computing, High throughput computing Computing paradigm distinctions Centralized computing"

    • "Cluster design issues: Major cluster design issues Features, Functional Characterization, feasible implementation Grid computing infrastructures: Computational grids, Grid Families Design Issues, Computational and data grids, p2p grids Service-Oriented A
  • 7

    GRID&CLOUD COMPUTING-UNIT-2

    • "Open grid service architecture: OGSA OGSA framework OGSA interfaces Grid service handle Grid Service Migration "

    • "security models Motivation for OGSA Globus toolkit Autonomic Computing Emerging Web service standards Functional Requirements Resource management requirements"

    • "Data intensive Grid Service models Data replication and unified namespace Grid data access models Monadic model Hierarchical model Federation model Hybrid model OGSA Services OGSA Architecture"
  • 8

    GRID&CLOUD COMPUTING-UNIT-3

    • "Virtualization Introduction Private Cloud Characterstics Suitability On-Premise Private Cloud Performance Security and Data Privacy Location Cloud management Multitenancy Maintance Outsourced private cloud Issues SLA Network Security and Privacy Laws and

    • "Categories of cloud computing Community Cloud Characteristics Suitability Infrastructure as a Service Characteristics of Iaas Suitability of Iaas Pros and Cons of IaaS Platform as a Service Characteristics of PaaS Drawbacks of PaaS"

    • "Pros and Cons of cloud computing Service Models Implementation levels of Virtualization Virtualization Structures / Tools and Mechanisms"

    • "Virtualization of CPU, Memory & I/O Devices Virtualization Structures / Tools and Mechanisms Hardware Support for virtualization CPU Virtualization Memory Virtualization I/O Virtualization Virtualization in Multi core processor Virtual Hierarchy"

    • "Virtual clusters and resourse management Memory Migration File Migration Network Migration Dynamic Deployment of virtual Clusters Virtualization for data center automation Virtual Storage Management Cloud OS for Virtualized Data Centers Trust Management

    • 3.6
  • 9

    GRID&CLOUD COMPUTING-UNIT-4

    • 1

    • 2

    • 3

    • 4
  • 10

    GRID&CLOUD COMPUTING-UNIT-5

    • 1

    • 2

    • 3

    • 4

    • 5

    • 6

    • 7

    • 8

    • 9

    • 10