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Easy Notes of Cloud Computing unit- 3 @Computer Diploma

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Unit – III Cloud Storage, Monitoring and Management
3.1 Cloud Storage System Architecture
3.2 Virtualize Data Centre (VDC) Architecture, VDC Environment, Server, Storage,
Networking, Desktop and Application Virtualization techniques and benefits
3.3 Cloud File Systems: Google File System (GFS): Components, Features, Advantages and
Disadvantages and Hadoop Distributed File System (HDFS)
:Terminologies like Heartbeat, Balancing and Replication, Features and Limitations
3.4 Service Provider and users, An architecture of federated Cloud computing: Model and It’s
Explanation
3.5 Service Level Agreement (SLA)
3.6 SLA management: 5 Phases of SLA management like Feasibility, On-Boarding, Preproduction, Production and Termination
3.7 Types of SLA: Infrastructure SLA and Application SLA
3.8 Life cycle of SLA: 5 Phases like Contract Definition, Publishing and Discovery, Negotiation,
Operationalization and De-commissioning
3.9 Cloud Service life cycle phases: Service planning, service creation, service operation and
service termination

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Description

3.1 & 3.2 Cloud Storage & VDC Architecture

  • Cloud Storage Architecture:

    • Layers: Frontend (API/UI), Control (Management), Backend (Physical Storage), Network.

    • Types: Block (for databases), File (NFS/SMB), Object (S3, unstructured data).

  • Virtual Data Center (VDC):

    • Concept: A pool of cloud-based resources (compute, memory, storage) that acts as a traditional data center.

    • VDC Components: Virtual Servers (VMs), Virtual Storage (SAN/NAS), Virtual Networking (VLAN/VXLAN).

    • Benefits: Cost-efficient (OpEx), agile, highly resilient, and scalable.

3.3 Cloud File Systems (GFS & HDFS)

Feature Google File System (GFS) Hadoop Distributed File System (HDFS)
Nodes Master (Metadata) + Chunkservers (Data). NameNode (Metadata) + DataNodes (Data).
Unit Chunks (fixed 64 MB). Blocks (default 128 MB).
Nature Proprietary (Google internal). Open-source (Apache).
Keyword 1 Heartbeat: Nodes signal the Master they are “alive.” Replication: Data is copied (usually 3x) for fault tolerance.
Keyword 2 High Throughput: Optimized for large read/write. Balancing: Distributes data evenly across DataNodes.

3.4 Federated Cloud Computing

  • Definition: Interconnecting multiple cloud providers to create a “universal” cloud.

  • Model Components:

    • Cloud Broker: Finds the best provider for the user.

    • Cloud Coordinator: Manages local resources and external requests.

    • Cloud Exchange: The marketplace where brokers and coordinators negotiate.

  • Keywords: Interoperability, Resource Migration, No Vendor Lock-in, Scalability.

3.5 – 3.8 Service Level Agreement (SLA)

SLA: A legal contract between provider and user defining service quality (e.g., 99.9% uptime).

  • Types of SLA:

    • Infrastructure SLA: Focuses on hardware, network uptime, and power.

    • Application SLA: Focuses on software performance, latency, and throughput.

  • 5 Phases of SLA Management:

    1. Feasibility: Assessing if the provider can meet technical/financial goals.

    2. On-Boarding: Migrating the application to the cloud environment.

    3. Pre-production: Testing and validating the SLA in a sandbox.

    4. Production: Real-time execution and performance monitoring.

    5. Termination: Ending the contract and safely retrieving data.

  • 5 Phases of SLA Life Cycle:

    1. Contract Definition: Drafting the terms.

    2. Publishing/Discovery: Provider lists the service; user finds it.

    3. Negotiation: Finalizing terms and penalties.

    4. Operationalization: Monitoring and enforcement.

    5. De-commissioning: Closing the agreement.

3.9 Cloud Service Life Cycle Phases

  1. Service Planning: Identifying user needs and resource requirements.

  2. Service Creation: Development, configuration, and deployment.

  3. Service Operation: Day-to-day management, maintenance, and support.

  4. Service Termination: Retirement of the service and data archiving/deletion.

Quick Recall Keywords for Exam:

  • Metadata: Data about data (stored in Master/NameNode).

  • Domino Effect: A failure in one node affecting others (prevented by isolation).

  • Penalty Clause: Compensation paid by the provider if the SLA is breached.

  • VDC: Software-defined data center.

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