/Private / sem 9 / Cloud-computing

GEMINI

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Cloud Computing Tutor Rules

When assisting the user with Cloud Computing in this directory, always follow these rules:

Syllabus Adherence: Teach according to a postgraduate (PG) level syllabus for Cloud Computing. Calibrate the depth and complexity appropriate for a PG student.
Topic-by-Topic: Teach strictly one topic at a time. Do not deviate from the current topic or engage in unrelated discussions.
Format & Language:
- First, provide a clear, proper English explanation and answer.
- Include relevant numericals or problem-solving steps where applicable.
- Below the English explanation, ALWAYS explain the concept in Hinglish to aid memory and understanding.
Progress Tracking: Maintain and update syllabus_tracker.md in this directory to track progress. Every time a new topic is completed, append what was learned to this tracker file.

chapter 1

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cloud computing Vision

Cloud Computing ka main “vision” (maqsad) ye hai ki IT ko ek mehnga hardware kharidne wale model se hatakar ek aisi service banaya jaye jo jab chaho tab mil jaye. Iske 3 main points hain:

The Utility Model (The 5th Utility): Jaise hum bijli ya paani ka use karte hain—switch on kiya aur jitna use kiya utna bill aaya. Cloud ka vision yahi hai ki computing power (servers, storage) bhi exactly waise hi available ho. Aapko hardware kharidne ki zarurat nahi, bas internet se connect karo aur ‘Pay-as-you-go’model par use karo.
Illusion of Infinite Capacity: Ek developer ya company ko hamesha yahi lagna chahiye ki cloud ke paas unlimited space aur power hai. Agar aapki app par achanak se bohot saare users aa jayein, toh cloud us load ko apne aap handle kar le bina crash hue. User ko kabhi hardware limitations ki tension na leni pade.
Abstraction of Complexity: Jo piche data center mein physical servers, wires, AC cooling, aur hardware management chal raha hai, uski headache user ki nahi honi chahiye. User sirf apni application par focus kare, aur baaki saari hardware ki complexity cloud provider (jaise AWS, Azure) khud sambhale.

Cloud computing characterstics

There are mainly 5 characterstics of cloud computing.

On demand self service
metered connection
broad area network
Rapid elasticity
resource pooling These are according to nist, national institute of standards and technology

cloud-computing

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Cloud Computing

Course Code: IC-908A
Course Type: Core
Course Credits: 4

Course Objectives

To familiarize students with the core concepts of Cloud Computing Architecture and service models especially focusing on Virtualization, security and Market oriented aspects of cloud computing.

Course Outcomes

After completion of the course, student will:

CO1: Able to demonstrate basic concepts, principles and paradigm of Cloud Computing and its adoption.
CO2: Able to interpret various Cloud computing models, services and applications.
CO3: Gain insights of significance of implementing virtualization techniques and management of cloud services.
CO4: Illustrate the cloud security vulnerability and the need of security in Cloud computing and Market oriented cloud computing.

Course Contents

Unit 1: Introduction to cloud computing

Contents: Historical development, Vision of Cloud Computing, Characteristics of cloud computing as per NIST, Cloud computing reference model, Cloud computing environments, Cloud services requirements.
Hours: 6
Targeted Levels of Blooms Taxonomy: 1, 2
Learning Outcomes (LO):
- LO1: Identify key characteristics of cloud computing according to NIST and cloud computing reference model, environments, and service requirements.
Resources: Book 1, 2 (Lecture), https://www.coursera.org/learn/introduction-to-cloud
Assignment: Assign: questions for key characteristics of cloud computing and discussion.

Unit 2: Cloud Applications

Contents: Cloud and dynamic infrastructure, Cloud Adoption and rudiments. Overview of cloud applications: ECG Analysis in the cloud, Protein structure prediction, Gene Expression Data Analysis, Satellite Image Processing, CRM and ERP, Social networking.
Hours: 4
Targeted Levels of Blooms Taxonomy: 1, 2
Learning Outcomes (LO):
- LO1: Describe cloud computing, cloud adoption, and various cloud applications.
Resources: Book 1, 2 (Lecture), https://www.redhat.com/en/topics/cloud-native-apps/what-are-cloud-applications
Assignment: Summarize Cloud Applications and discussion.

Unit 3: Cloud Computing Architecture and Cloud Solutions

Contents: Cloud Reference Model, Types of Clouds, Cloud Interoperability & Standards, Scalability and Fault Tolerance. Cloud Ecosystem, Cloud Business Process Management, Cloud Service Management. Cloud Analytics, Testing Under Control, Virtual Desktop Infrastructure.
Hours: 6
Targeted Levels of Blooms Taxonomy: 1, 2
Learning Outcomes (LO):
- LO1: Recognize and describe key concepts of types of clouds, interoperability, scalability, fault tolerance, BPM, cloud analytics, and other associated solutions.
Resources: Book 1, 2 (Lecture), https://cloud.google.com/learn/what-is-cloud-architecture#section-1
Assignment: Assign: practice and assignment questions on Cloud Reference Model

Unit 4: Cloud Management

Contents: Resiliency, Provisioning, Asset management, Concepts of Map reduce, Cloud Governance, High Availability and Disaster Recovery.
Hours: 6
Targeted Levels of Blooms Taxonomy: 1
Learning Outcomes (LO):
- LO1: Illustrate concepts of resiliency, provisioning, asset management, MapReduce, cloud governance, high availability, and disaster recovery with the importance and relevance.
Resources: Book 1, 2 (Lecture), https://cloud.google.com/learn/what-is-cloud-management#section-1
Assignment: Assign: practice and assignment questions on Cloud Management

Unit 5: Virtualization Technology

Contents: Virtualization: Fundamental concepts of types of virtualisation such as: compute, storage, networking, desktop and application virtualization. Virtualisation applications and benefits, server virtualisation, analysis of Block and file level storage virtualisation, evaluation of Hypervisor management software, Infrastructure Requirements, Virtual LAN (VLAN) and Virtual SAN(VSAN) and their benefits.
Hours: 5
Targeted Levels of Blooms Taxonomy: 1, 2, 4
Learning Outcomes (LO):
- LO1: Classify types of virtualization in compute, storage, networking, desktop, and application domains.
- LO2: Explain the benefits of virtualization and understand its practical applications, including server virtualization and storage virtualization.
Resources: Book 1, 2 (Lecture), https://aws.amazon.com/what-is/virtualization/
Assignment: Assignment: compare and contrast different forms of virtualization and discussions

Unit 6: Cloud Security

Contents: Cloud Information security fundamentals, Identify and analyze cloud computing security challenges Cloud security services, Design principles, Secure Cloud Software Requirements, Cloud Computing Security Challenges, Virtualization security Management, Cloud Computing Security Architecture.
Hours: 7
Targeted Levels of Blooms Taxonomy: 1, 2, 3, 4.
Learning Outcomes (LO):
- LO1: Identify and Comprehend cloud information security fundamentals, design principles, security services, requirements, challenges, virtualization security management, and cloud computing security architecture.
Resources: Book 1, 2 (Lecture), https://www.ibm.com/topics/cloud-security
Assignment: Questions on security services, requirements, challenges, virtualization security

Unit 7: Market Oriented Cloud computing

Contents: Market Based Management of Clouds, Federated Clouds/Inter Cloud: Characterization & Definition, Cloud Federation Stack, Third Party Cloud Services. Case study: Google App Engine, Microsoft Azure.
Hours: 8
Targeted Levels of Blooms Taxonomy: 1, 2, 4
Learning Outcomes (LO):
- LO1: Identify the role and benefits of third-party cloud services in cloud computing with Analysis of case studies of Google App Engine and Microsoft Azure in cloud computing.
Resources: Book 1, 2 (Lecture), https://arxiv.org/ftp/arxiv/papers/0808/0808.3558.pdf
Assignment: Questions on Market Based Management of Clouds and third-party services

* 1- Remember, 2- understand, 3- Apply, 4- Analyze

Books and Reading

Reference Books:

Rajkumar Buyya, Christian Vecchiola, and S. Thamarai Selvi. Mastering cloud computing: foundations and applications programming. Morgan Kaufmann.
Kailash Jayaswal, Jagannath Kallakurchi, Donald J. Houde, Deven Shah. Cloud Computing Black Book. Dreamtech Press.

syllabus_tracker

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Cloud Computing Syllabus Tracker

This file tracks the topics covered in the Cloud Computing PG syllabus.

Completed Topics

Historical Development of Cloud Computing
- Learned: The evolutionary stages of computing paradigms: Mainframe (centralized) → Personal Computing (decentralized) → Client-Server → Grid Computing → Utility Computing → Cloud Computing (virtualization + utility model).
Vision of Cloud Computing
- Learned: The transformation of IT into a utility service based on three pillars: The Utility Model (pay-as-you-go), Illusion of Infinite Capacity (elasticity), and Abstraction of Complexity (hardware management by provider).
Characteristics of Cloud Computing as per NIST
- Learned: The 5 essential characteristics defining a cloud: On-demand Self-service, Broad Network Access, Resource Pooling, Rapid Elasticity, and Measured Service.