Description
3.1 & 3.2 Cloud Storage & VDC Architecture
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Cloud Storage Architecture:
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Layers: Frontend (API/UI), Control (Management), Backend (Physical Storage), Network.
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Types: Block (for databases), File (NFS/SMB), Object (S3, unstructured data).
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Virtual Data Center (VDC):
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Concept: A pool of cloud-based resources (compute, memory, storage) that acts as a traditional data center.
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VDC Components: Virtual Servers (VMs), Virtual Storage (SAN/NAS), Virtual Networking (VLAN/VXLAN).
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Benefits: Cost-efficient (OpEx), agile, highly resilient, and scalable.
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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
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Definition: Interconnecting multiple cloud providers to create a “universal” cloud.
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Model Components:
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Cloud Broker: Finds the best provider for the user.
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Cloud Coordinator: Manages local resources and external requests.
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Cloud Exchange: The marketplace where brokers and coordinators negotiate.
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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).
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Types of SLA:
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Infrastructure SLA: Focuses on hardware, network uptime, and power.
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Application SLA: Focuses on software performance, latency, and throughput.
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5 Phases of SLA Management:
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Feasibility: Assessing if the provider can meet technical/financial goals.
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On-Boarding: Migrating the application to the cloud environment.
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Pre-production: Testing and validating the SLA in a sandbox.
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Production: Real-time execution and performance monitoring.
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Termination: Ending the contract and safely retrieving data.
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5 Phases of SLA Life Cycle:
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Contract Definition: Drafting the terms.
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Publishing/Discovery: Provider lists the service; user finds it.
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Negotiation: Finalizing terms and penalties.
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Operationalization: Monitoring and enforcement.
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De-commissioning: Closing the agreement.
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3.9 Cloud Service Life Cycle Phases
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Service Planning: Identifying user needs and resource requirements.
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Service Creation: Development, configuration, and deployment.
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Service Operation: Day-to-day management, maintenance, and support.
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Service Termination: Retirement of the service and data archiving/deletion.
Quick Recall Keywords for Exam:
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Metadata: Data about data (stored in Master/NameNode).
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Domino Effect: A failure in one node affecting others (prevented by isolation).
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Penalty Clause: Compensation paid by the provider if the SLA is breached.
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VDC: Software-defined data center.





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