Cloud Computing

Duration: 10 min

This video lesson is available to enrolled students.

Return to /learn/BIHAR-STET-COMPUTER-SCIENCE-COMPLETE-COURSE/unit-12-iot/cloud-computing/cloud-models/asset-cloud-computing after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About the course: About the Course
  2. Mathematical Aptitude: संख्या पद्धति / Number System, महत्तम समापवर्तक और लघुत्तम समापवर्त्य / HCF and LCM, Divisibility Rules, प्रतिशत / Percentage, अनुपात और समानुपात / Ratio and Proportion, औसत / Average, लाभ, हानि और बट्टा / Profit, Loss and Discount, समय और कार्य / Time and Work, घन क्षेत्रमिति / Solid Mensuration, साधारण और चक्रवृद्धि ब्याज / Simple and Compound Interest, समय, चाल और दूरी / Time, Speed and Distance, Age Problems, मिश्रण और एलिगेशन / Mixture and Alligation, Algebra, सरलीकरण, घातांक और करणी / Simplification, Indices and Surds, Pipe and Cistern, Trigonometry, Statistics, आँकड़ा निर्वचन / Data Interpretation, Arithmetic, समुच्चय, संबंध, फलन और विविक्त गणित / Sets, Relations, Functions and Discrete Mathematics, संख्या पद्धति और संख्या सिद्धांत / Number Systems and Number Theory, निर्देशांक ज्यामिति, सदिश और त्रिविमीय ज्यामिति / Coordinate Geometry, Vectors and 3D Geometry, बहुपद, समीकरण और सम्मिश्र संख्याएँ / Polynomials, Equations and Complex Numbers
  3. Logical Reasoning: श्रेणी / Series, कूट लेखन एवं कूट वाचन / Coding-Decoding, सादृश्यता एवं वर्गीकरण / Analogy and Classification, रक्त संबंध / Blood Relations, दिशा एवं दूरी / Direction and Distance, क्रम एवं रैंकिंग / Order and Ranking, अशाब्दिक तर्क / Non-Verbal Reasoning, बैठक व्यवस्था एवं पहेलियाँ / Seating Arrangement and Puzzles, Syllogisms, वेन आरेख, न्याय वाक्य एवं असमानता / Venn Diagrams, Syllogism and Inequalities, गणितीय संक्रियाएँ एवं लुप्त संख्या / Mathematical Operations and Missing Numbers, वर्णमाला एवं संख्या परीक्षण / Alphabet and Number Test, कथन आधारित तार्किक विवेचन / Statement-Based Reasoning, Analytical Reasoning (Counting Figures Reasoning), घन, पासा एवं आकृतियों की गिनती / Cubes, Dice and Figure Counting, कैलेंडर एवं घड़ी / Calendar and Clock, Clock
  4. General Knowledge: वैज्ञानिक उपलब्धियाँ और अनुसंधान / Scientific Achievements and Research, Chemistry, Biology, History, Geography, Polity, Indian Economy, समसामयिकी / Current Affairs, Static General Knowledge, राज्य विशेष सामान्य ज्ञान / State-Specific General Knowledge
  5. Art of Teaching: शिक्षण-अधिगम प्रक्रिया एवं कक्षा प्रबंधन / Teaching-Learning Process and Classroom Management, Learners & Learning Process, Factors Affecting Teaching, शिक्षण विधियाँ एवं उपागम / Teaching Methods and Approaches, सूक्ष्म शिक्षण एवं कक्षा संप्रेषण / Microteaching and Classroom Communication, शिक्षण सहायक सामग्री एवं शैक्षिक तकनीकी / Teaching Aids and Educational Technology, आकलन एवं मूल्यांकन / Assessment and Evaluation, शिक्षक: गुण, व्यावसायिक नैतिकता एवं विकास / Teacher: Qualities, Professional Ethics and Development, शैक्षिक नीतियाँ, अधिनियम एवं प्रशासन / Educational Policies, Acts and Administration, पाठ्यचर्या, कला एवं सह-शैक्षिक क्षेत्र / Curriculum, Arts and Co-curricular Areas, निर्देशन एवं परामर्श / Guidance and Counselling, दिव्यांग बच्चों की शिक्षा / Education of Children with Disabilities, Micro-Teaching & Teaching Skills, पाठ योजना / Lesson Planning
  6. Environmental Science: Environment
  7. Unit 1 | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  8. Unit 2 | COA: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Programming the Basic Computer
  9. Unit 3 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  10. Unit 3 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  11. Unit 4 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  12. Unit 5 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management
  13. Unit 6 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Transaction Management, Concurrency Control
  14. Unit 7 | Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer
  15. Unit 8 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  16. Unit 9 | Object Oriented Programming: OOPS with C++
  17. Unit 10 | Web Development: HTML Basics, CSS, JavaScript-Basics, XML, Node.js, Git & Github
  18. Unit 11 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines
  19. Unit 12 | IoT: Emerging Tech Trends, Cloud Computing, कंप्यूटर नेटवर्क / Computer Networks
  20. Unit 13 | Artificial Intelligence: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms
  21. Unit 14 | E-Commerce: Electronic Data Interchange and E-Commerce, Role of Internet and Web Services, Security in Mobile and Wireless Computing, Physical Security and Cryptography Basics, Cyber Safety and Security
  22. Unit 15 | Multimedia: Multimedia
  23. Unit 16 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis, DSA using Python
  24. Full Length Mock Tests — General Paper:
  25. Full Length Mock Tests — Computer Science (Paper II):
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video presents a structured lecture on Cloud Computing, beginning with a fundamental definition that describes it as the delivery of computing services—including servers, storage, databases, networking, and software—over the Internet. The core concept is explained as renting computing power on a pay-as-you-go basis rather than maintaining physical data centers. The lecture then transitions into the three primary service models, visualized as a pyramid: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Each model is defined by the level of control the user has versus what the provider manages. The session concludes by examining real-world applications, advantages such as cost efficiency and mobility, and limitations including internet dependency and security concerns.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The lecture opens with a slide titled Cloud Computing that defines the term as the delivery of computing services over the Internet to offer faster innovation and economies of scale. The speaker underlines key components such as servers, storage, databases, networking, and software. The core concept is highlighted as renting computing power from providers like Amazon AWS or Google Cloud instead of buying physical hardware. A historical note attributes the concept to John McCarthy in the 1960s, comparing computing to a public utility like electricity. The segment introduces the 3 Service Models The Pyramid, classifying services into SaaS for end users, PaaS for developers, and IaaS for network architects, based on the division of management responsibilities.

  2. 2:00 – 5:00 02:00-05:00

    The focus shifts to Software as a Service SaaS, defined as a method of delivering software applications over the Internet where the provider hosts and manages the software. The target audience is explicitly stated as End Users. Key characteristics are listed as No Installation, meaning users just log in; Automatic Updates, where the provider handles maintenance; and Accessibility from any device with an internet connection. Examples provided include Google Workspace for document editing, streaming services like Netflix for content consumption, and communication tools like Zoom for video conferencing. A diagram illustrates the SaaS model with a central cloud connected to PCs, mobile devices, databases, and networks, emphasizing the centralized nature of the service.

  3. 5:00 – 9:37 05:00-09:37

    The lecture details Platform as a Service PaaS, which provides a cloud environment with tools and frameworks for developers to build, test, and deploy applications without managing underlying servers or operating systems. The target audience is Software Developers and Coders. Key characteristics include a focus on code and pre-built tools for testing and database management. Examples include Google App Engine, Heroku, and Windows Azure. A diagram shows PaaS surrounded by components like Hosting, Security, Software, Operating System, and Network Access. Next, Infrastructure as a Service IaaS is defined as the most flexible category, providing virtualized computing resources like virtual machines VMs and storage. The target audience is System Administrators and Network Architects. Key characteristics are Maximum Control over the OS and Scalability. Examples include AWS EC2, Google Compute Engine, and DigitalOcean. The final slide covers Applications Data Storage, Big Data Analytics, Disaster Recovery, Advantages Cost Efficiency, Mobility, Scalability, and Limitations Internet Dependency, Security and Privacy, Downtime.

This lecture provides a comprehensive framework for understanding cloud computing, moving from general definitions to specific service models. It establishes a clear distinction between SaaS, PaaS, and IaaS based on the user's level of control and the provider's management scope. SaaS is presented as the most user-friendly option for end-users, PaaS as a development tool for coders, and IaaS as a flexible infrastructure for IT professionals. The lesson effectively balances technical definitions with practical examples and real-world applications. By concluding with advantages and limitations, the video offers a critical perspective on the technology, highlighting trade-offs between cost efficiency and security risks. This progression ensures students grasp not just the what of cloud computing, but the who and why behind its various implementations.

Loading lesson…