Unit 6: Emerging Technologies — Long Questions

Emerging technologies are new tools, systems and methods that are currently being developed or have just started to be used. These technologies have the potential to change the way we live, work and interact with the world.

Key Emerging Technologies

There are some of the key emerging technologies:

• Artificial Intelligence (AI): AI refers to machines and software that can learn and perform like human beings. AI can help with tasks like recognizing faces, understanding speech and making decisions. It is used in everything from smart assistants like Siri to self-driving cars.
• Cloud Computing: Cloud computing allows people to store and access data and applications over the internet instead of on a local computer or server. This makes it easier to share information, collaborate on projects and scale up services without needing expensive hardware. Examples include services like Google Drive, Dropbox and Amazon Web Services (AWS).
• Blockchain: Blockchain is a secure way to record and share information across many computers, making it almost impossible to change or hack. It is best known for being the technology behind cryptocurrencies like Bitcoin, but it is also used in other areas like supply chains and contracts.
• Internet of Things (IoT): IoT connects everyday objects, like refrigerators, cars and even clothes, to the internet. This allows them to send and receive data, making our lives more convenient. For example, a smart thermostat can learn your schedule and adjust the temperature in your home automatically.
• Augmented Reality (AR) and Virtual Reality (VR): AR adds digital elements to the real world using devices like smartphones or glasses. VR creates a completely virtual environment that you can interact with using special equipment. These technologies are used in gaming, education and training.
• 5G Technology: 5G is the next generation of wireless technology, offering much faster internet speeds and more reliable connections. This will enable better performance for cell phones, smart devices and even new technologies like augmented reality (AR) and virtual reality (VR).
• Quantum Computing: Quantum computing is a type of computer that uses tiny building blocks called qubits. Unlike regular bits 0 and 1's, it can be both 0 and 1 at the same time. It allows to solve problems much faster than normal computer.
• Biotechnology: Biotechnology involves using living organisms, like bacteria and plants, to create new products or solve problems. For example, scientists are using biotechnology to develop new medicines, improve crops and even create environmentally friendly materials.

Cloud computing is a model that allows easy and convenient access to computing resources like servers, storage and applications over the internet. These resources can be quickly provided and released with minimal management effort or service provider interaction. Cloud computing is like having a powerful computer that you can access over the internet. Instead of buying and maintaining your own expensive computers and storage devices, you can use cloud services to store data, run applications and manage your computing needs. This makes it easier and cheaper to get things done, as you can use as much or as little of the service as you need and you only pay for what you use. It is like renting a supercomputer that you can use whenever you need it, from anywhere in the world.

Basic Concepts of Cloud Computing

Cloud computing works because of some basic ideas that make it powerful and useful:

1) Virtualization: Virtualization is a technology that allows a single physical machine to run multiple virtual machines. It is like having a magic trick that lets one physical computer act like many separate computers. Imagine you have a single powerful computer, but with virtualization, you can create several "virtual" computers inside it. Each of these virtual computers can run its own operating system and applications as if they were independent machines.

2) Scalability and Elasticity: Scalability and elasticity are important concepts in cloud computing that help manage resources efficiently.

• Scalability means you can add more resources when you need them. For example, imagine you run an online store that usually has a steady number of visitors. However, during busy times like Eid or 14th August sales, you get a huge spike in traffic. With scalability, you can add more servers to handle this increased traffic, ensuring your website runs smoothly without slowing down or crashing.
• Elasticity refers to the ability of a cloud system to automatically scale resources, such as computing power, storage, or network bandwidth, up or down based on current demand, such as if an e-commerce website experiences a surge in traffic during a sale, a cloud platform can automatically allocate more servers to handle the load and scale back afterward.

3) On-Demand Access: On-demand access means that you can use computing resources whenever you need them, without waiting for a long setup process. This is like being able to turn on a tap to get water whenever you want, instead of having to dig a well first.
Example: Imagine you are working on a school project and suddenly need extra storage space to save your files. With on-demand access, you can instantly rent additional storage from a cloud provider and start using it right away. This saves time and effort, allowing you to focus on your project instead of worrying about storage.

There are three main types of cloud services:
1) IaaS
2) PaaS
3) SaaS

Each one gives you different levels of control and makes things easier in different ways.

1) Infrastructure as a Service (IaaS): IaaS offers basic computing infrastructure such as servers, storage and networking on a pay-as-you-go basis. Users have control over the operating systems, applications and storage, but not the underlying physical infrastructure.
Example: Amazon Web Services (AWS) lets businesses rent virtual machines to run their applications. Other big IaaS providers are Microsoft Azure and Google Compute Engine.

2) Platform as a Service (PaaS): PaaS offers a complete development and deployment environment in the cloud. It includes infrastructure (servers, storage and networking), middleware, development tools, management services. Developers can focus on coding and deploying applications without managing the hardware and software layers.
Example: Google App Engine lets programmers create and publish apps using many programming languages. Other examples are Microsoft Azure App Services and Heroku.

3) Software as a Service (SaaS): SaaS provides access to software applications that are hosted and managed by the service provider. Users simply subscribe to the service and use it over the internet. This model is convenient for end-users as it requires no hardware management or software updates.

Comparison of cloud services (Iaas, Pass, Saas)

| Iaas | Paas | Saas |
| Users control operating systems, applications and storage | Users only control the applications and data | Users only use the operating systems, applications and data |
| Provider manages hardware users manages everything | Providers manages hardware and platform users manages applications | Provider manages everything either hardware or software |
| Very flexible Good for IT experts who like to configure and manage systems as they like | Good for developers to create and deploy applications more easily. | Good and easy for users who want ready-to-use software |

Example Google Workspace (which includes Gmail, Google Docs and Google Drive) is a popular SaaS tool. Others include Microsoft Office 365 and Salesforce.

Figure 1 Types of Cloud Services (diagram showing cloud icon with surrounding service types)

Cloud deployment models define how cloud services are made available and used. Each model offers different levels of control, security and flexibility.

Types of Cloud Deployment Models

The main cloud deployment models are:
1) Public cloud
2) Private cloud
3) Hybrid cloud
4) Multi cloud

1) Public Cloud: A public cloud is a cloud service offered over the internet that is shared among multiple organizations. It is managed by a third-party cloud service provider.
Example: Amazon Web Services (AWS) is a popular public cloud provider. Businesses of all sizes can use AWS to access computing resources like virtual servers and storage without having to manage the physical hardware themselves.

2) Private Cloud: A private cloud is a cloud environment used exclusively by one organization. It can be hosted on-premises or by a third-party provider, but it is not shared with other organizations.
Example: A large bank may use a private cloud to handle sensitive customer data securely. This private cloud can be hosted within the bank's own data centers or managed by a third-party provider, but only the bank has access to it.

3) Hybrid Cloud: A hybrid cloud combines public and private clouds, allowing data and applications to be shared between them. This model provides greater flexibility and control.
Example: A company may use a public cloud for everyday operations and a private cloud for sensitive data. During busy periods, they can move less sensitive data and applications to the public cloud to handle increased load, while keeping critical data secure in the private cloud.

4) Multi-cloud: A multi-cloud model is a cloud computing strategy where an organization uses services from multiple cloud providers, such as AWS, Microsoft Azure and Google Cloud simultaneously to meet different business or technical needs.
Example: A global retail company uses Amazon Web Services (AWS) to host its e-commerce website due to its robust global content delivery and scalability, Microsoft Azure for running its internal enterprise applications like ERP and productivity tools and Google Cloud Platform (GCP) for advanced data analytics and machine learning services.

Comparing Deployment Models

Each type of cloud has its own advantages and disadvantages. The best choice depends on what the organization needs.

| Deployment Model | Description | Advantages | Disadvantages |
| Public Cloud | Cloud services offered over the public internet | Cost-effective, easy to use | Less secure for sensitive data |
| Private Cloud | Dedicated cloud environment for one organization | High security and control | Expensive, complex setup |
| Hybrid Cloud | Combines both public and private clouds | Flexible, better control over data | Complex to manage |
| Multi-Cloud | Uses services from multiple cloud providers | Avoids vendor lock-in, leverages best features of each | Difficult to integrate and manage multiple providers |

Cloud computing has revolutionized the way businesses and individuals manage, process and store data. Its diverse applications span various sectors, offering scalable and cost-effective solutions that enhance efficiency and innovation.

1) Data Storage: Cloud storage allows users to save data on remote servers rather than on local devices. This makes it easier to access data from anywhere and share it with others.
Example: Services like Google Drive and Dropbox provide cloud storage solutions that let users store and share files online. Businesses can use cloud storage to keep backups of their data, ensuring it is safe from local hardware failures or other issues.

2) Web Hosting and Content Delivery: Cloud computing provides the infrastructure needed to host websites and deliver content efficiently to users around the world.
Example: Services like Amazon AWS and Microsoft Azure let companies host their websites on cloud servers. Content Delivery Networks (CDN's) such as Cloudflare help delivery website content quickly by caching it on servers close to the end-users.

3) Machine Learning and AI in the Cloud: Cloud computing offers powerful tools for developing and running machine learning models and artificial intelligence applications.
Example: Google Cloud AI and AWS SageMaker provide cloud-based platforms for building, training and deploying machine learning models. These services make it easier for data scientists and developers to create AI solutions without needing extensive local computing resources.

Cloud computing has many benefits, but it also comes with some important things to think about.

1) Data Security: Keeping data safe is a big concern when using the cloud. Since data is stored on remote servers, there is a risk of hacking or data loss.

• Security Challenges: Cloud providers implement robust security measures, but users must also take steps to protect their data. Issues such as data breaches, unauthorized access and loss of data can occur.
• Security Measures: To mitigate risks, users should use encryption, strong authentication methods and regularly review their security policies. Providers often offer tools to help manage and secure data.

2) Scalability and Resource Management: Cloud computing allows for scalability, meaning resources can be adjusted according to demand. However, effective resource management is essential to avoid unnecessary costs and ensure optimal performance.

• Scalability: Cloud services can automatically scale resources up or down based on demand, such as adding more servers during peak times and reducing them when demand decreases.
• Resource Management: Proper management practices, such as monitoring resource usage and optimizing performance, help control costs and ensure efficient use of cloud resources.

3) Cost Considerations: While cloud computing can be cost-effective, it requires careful financial management. Users pay for what they use and costs can quickly add up if not monitored.

• Cost Management: To manage costs, users should regularly review their cloud usage and spending, optimize resource allocation and take advantage of pricing plans that fit their needs.

4) Compliance and Regulatory Issues: Organizations must ensure that their use of cloud services complies with legal and regulatory requirements, which can vary by region and industry.

• Compliance: Organizations need to adhere to regulations related to data privacy, security and industry-specific standards. Cloud providers often offer tools and features to help meet these requirements.

CLASS ACTIVITY

Create a list of cloud-based services you use or are familiar with. For each service, describe how it benefits you or your organization and any security measures you use to protect your data.

Solution

Cloud-Based Services List, Benefits, and Security Measures

1) Google Drive
What it does: Lets me store documents, photos, and videos online.

Benefits

• I can open my files from any phone, laptop, or computer, anywhere.
• Easy to share files with friends or teachers and work together on group projects.

Security

• I use a strong password and turn on two-step verification (2FA).
• I only share files with people i trust and choose if they can just view or also edit.
• Google keeps my files safe by encrypting them when i upload and store them.

2) Gmail
What it does: It is a popular email service used by schools and offices.

Benefits

• Has lots of space to store emails and files.
• Helps organize emails using labels and filters.
• Works well with Google Calendar and Google Drive.

Security

• Two-step verification (2FA) is turned on.
• I check for strange login activity now and then.
• Gmail checks all emails to block spam and phishing messages.

3) Microsoft Office 365
What it does: Gives access to Word, Excel, PowerPoint, and more through the internet.

Benefits

• Use Microsoft apps online without installing them.
• OneDrive helps save and share documents safely.
• Outlook helps manage emails and schedule meetings or events.

Security

• Strong password and two-step verification (2FA) are used.
• Files are kept private and shared only with certain people.
• Software is updated regularly to fix any security issues.

4) Dropbox
What it does: A simple way to store and share files online.

Benefits

• Can send big files easily.
• Automatically saves and syncs files between devices.
• Good for working in groups or sharing school assignments.

Security

• Protected by password and offers two-step verification (2FA).
• I set who can see or edit the file and remove access when not needed.
• Dropbox uses encryption to keep data safe while sending and storing.

5) Amazon Web Services (AWS)
What it does: Used by companies and organizations to run websites and store large amounts of data.

Benefits

• Can increase storage or servers when needed (scalable).
• Good for backups and recovering data if something goes wrong.

Security

• Only allowed staff can access it.
• Data is encrypted and checked for security regularly.
• Uses firewalls, user controls, and monitoring tools.

6) Zoom
What it does: A video calling app used for online classes and meetings.

Benefits

• Easy to start video calls and join meetings.
• Can share screen and record sessions for better learning and teamwork.

Security

• Meetings need a password to join.
• Waiting room feature allows only invited people to enter.
• End-to-end encryption keeps meetings private.

Blockchain is a new and smart way of keeping records that makes them very secure, open and hard to cheat. It works like a shared digital notebook that everyone in a group can see and use, but no one can easily change the old pages.

Fundamentals of Blockchain

Blockchain is like a digital notebook that's shared with everyone in a group. Imagine a group of friends keeping track of who owes money. Instead of one person keeping the record, they all write it down in a notebook that everyone has a copy of. Every time someone makes a change, like paying back money, it gets recorded in all the notebooks at the same time.

Features

Now, this digital notebook, or blockchain, has some special features:

• Transparency: Everyone can see what's written, so it is hard for anyone to cheat or change record without others noticing.
• Security: Once something is written in the notebook, it is almost impossible to erase or change it. This is because it's protected by a special kind of math called cryptography, which locks the information in place.
• Decentralized: There's no one person in charge. Everyone works together and agrees before any new entry is made. That makes it fair and trustworthy.

In simple terms, blockchain is a secure and transparent way for people to share and keep track of information without needing to rely on one person or company to keep it safe.

Figure 1 Blockchain Network (diagram showing multiple blockchain nodes connected in a network structure)

Figure 2 Architecture of Blockchain (diagram showing blockchain nodes, blockchain database with blocks containing timestamp and transaction data)

Core Principles of Blockchain Technology

Blockchain technology is built on several core principles that ensure its functionality and security. Blockchain works because of three main ideas:

1) Decentralization
2) Immutability
3) Consensus mechanisms

1) Decentralization: Unlike traditional databases that are controlled by a central authority, a blockchain is maintained by a network of computers (nodes) that work together to validate and record transactions. This decentralized nature reduces the risk of a single point of failure and enhances security.

2) Immutability: Once a block is added to the blockchain, it cannot be altered or deleted. This immutability ensures that the transaction history is permanent and tamper-proof, providing a reliable and unchangeable record of all transactions.

3) Consensus Mechanisms: Blockchain networks use consensus mechanisms to agree on the validity of transactions. These mechanisms ensure that all nodes in the network reach a unanimous decision before adding a new block to the chain.

Blockchain Components

A blockchain system is made up of several important parts that work together to keep the system secure and running smoothly.

• Node: A node is a computer that participates in the blockchain network. Each node maintains a copy of the blockchain and helps validate transactions and blocks.
• Ledger: The ledger is a shared digital record of all transactions that have occurred on the blockchain.
• Block: A block is a collection of transactions that are bundled together. Each block contains a unique identifier (hash), a reference to the previous block (parent hash) and a list of transactions.
• Transaction: A transaction is an individual entry in the blockchain. It represents the transfer of assets or information between participants in the network.
• Blockchain Protocol: The blockchain protocol defines the rules and procedures for how transactions are validated, how blocks are added to the chain and how consensus is achieved. It ensures the integrity and security of the blockchain network.

Peer-to-Peer (P2P) Network and Its usage in Blockchain

A peer-to-peer (P2P) network is a system where computers, called nodes, communicate and share resources directly with each other without relying on a central server. Each node in the network can act as both a client and a server, making the network more robust and decentralized.

Example In a file-sharing network, users can download files directly from each other's computers rather than from a single central server. This makes the process faster and more efficient, as multiple users can share parts of the file simultaneously.

Q.8 Explain different real-world uses of blockchain technology beyond cryptocurrency.

Ans Blockchain technology has a wide range of applications beyond cryptocurrency. Some

Blockchain technology has a wide range of applications beyond cryptocurrency. Some notable use cases include:
• Cryptocurrencies: Blockchain is the underlying technology for cryptocurrencies like Bitcoin and Ethereum. It enables secure, decentralised digital transactions without the need for intermediaries.
• Supply Chain Management: Blockchain can be used to track and verify the movement of goods through the supply chain. This transparency helps prevent fraud, reduce errors and ensure the authenticity of products.
• Healthcare: In healthcare, blockchain can securely store patient records, manage medical data and ensure that only authorised individuals have access to sensitive information.
• Voting Systems: Blockchain can be used to create secure and transparent voting systems, ensuring that votes are accurately recorded and counted and reducing the risk of election fraud.

Cryptocurrencies and smart contracts have brought major changes to digital finance and decentralized applications. Cryptocurrencies are digital currencies that work without traditional banks, allowing direct transactions between people worldwide. Smart contracts are automated agreements written in code that execute themselves when certain conditions are met.

Role of Cryptocurrencies
Cryptocurrencies are important in the digital economy because they offer a secure and decentralized way to exchange money. Unlike traditional money issued by banks, cryptocurrencies use blockchain technology to keep transactions safe and transparent. This technology ensures that transactions are recorded in a way that cannot be changed, without needing middlemen.

Smart Contracts
Smart contracts are digital agreements that automatically carry out the terms written into them when specific conditions are met. These contracts run on blockchain technology, removing the need for intermediaries and reducing the risk of errors and fraud. Platforms like Ethereum enable developers to create decentralized applications (DApps) using smart contracts.
However, they also have challenges, such as the need for error-free code and legal systems to resolve disputes related to these contracts.

Blockchain is a special kind of technology that helps keep information safe and secure. It's like a digital notebook that everyone can see, but no one can change.

1) Tracking the Origin of Products
Blockchain technology offers a transparent and secure method to track the origin and journey of products through various stages of the supply chain. By recording every transaction on a decentralized ledger, blockchain ensures that each step, from the raw material supplier to the final customer, is traceable and immutable.
In figure, the connections between different entities in a supply chain are illustrated. The blockchain records interactions between suppliers, manufacturers, fabricators, intermediaries, retailers and customers. Each transaction is securely logged on the blockchain, making it possible to track the journey of a product from its origin to the end consumer.

2) Blockchain in Financial Services
Banks and financial services use blockchain to make transactions faster and safer. For example, sending money abroad can be slow and expensive. Blockchain makes it quicker and cheaper.

3) Data Security in Blockchain
Data security in blockchain ensures that information stored in a blockchain is protected from unauthorized access, tampering, or loss.

Example Sending a Secure Letter
Imagine you want to send a letter containing important information to a friend. You want to make sure that no one else can read or change the letter while it is being delivered.
• Sealing the Letter (Encryption): Just like putting a letter in a sealed envelope so only the receiver can open it, encryption turns data into a secret code. Only someone with the right key can read it.
• Signing the Letter (Digital Signature): When you sign a letter, the receiver knows it came from you. In blockchain, a digital signature proves who sent the data and shows that it hasn't been changed.
• Sending Through a Trusted System (Blockchain Network): Instead of using a regular post service, imagine using a special delivery system where every step is recorded. If anyone tries to open or change the letter, the system notices. That's how blockchain works — every change is tracked and protected.
• Making Copies of the Letter (Decentralization): To make sure the letter isn't lost, you send copies through different delivery services. In blockchain, decentralization means storing the same data on many computers. Even if one computer fails or gets hacked, the data stays safe.

Emerging technologies continue to evolve, with future trends and innovations shaping the landscape of cloud computing and blockchain.

Evolving Technologies in Cloud Computing
Cloud computing is advancing with new technologies that enhance its capabilities and applications, making it more efficient, scalable and accessible.

Edge Computing
Edge computing brings processing power closer to data sources, reducing latency and improving efficiency. Instead of relying solely on centralized data centers, edge computing processes data at the "edge" of the network, near the data source. This approach minimizes the time it takes for data to travel, leading to faster decision-making and real-time data processing.

Example In autonomous vehicles, edge computing allows data from sensors and cameras to be processed locally in the vehicle, enabling quick responses to changing road conditions and enhancing safety.

Serverless Computing
Serverless architectures allow developers to build and deploy applications without managing servers, enhancing scalability and reducing operational complexity. In a serverless model, cloud providers automatically allocate resources as needed and developers only pay for the actual usage of computing resources.

Example Amazon Web Services (AWS) Lambda is a serverless computing service that lets developers run code without provisioning or managing servers. This enables developers to focus on writing code and building applications rather than managing infrastructure.

Serverless architecture is a cloud computing model where developers can build and run applications without worrying about managing servers. Despite its name, "serverless" does not mean there are no servers. It simply means that the cloud provider automatically manages the infrastructure, including server setup, maintenance, scaling and resource allocation.

Developers only need to focus on writing code — the cloud provider handles everything else behind the scenes.

Key Features of Serverless Architecture
• No Server Management: Developers don't have to configure or maintain servers.
• Automatic Scaling: The system scales resources up or down based on demand — from zero to thousands of users.
• Pay-as-you-go Pricing: You only pay for the compute time you actually use — no charges when your code isn't running.
• Event-driven Execution: Code runs in response to events like HTTP requests, file uploads, or database changes.

Example of Serverless Architecture
A common example is AWS Lambda, a serverless computing service by Amazon.
• A developer writes a function (piece of code) and uploads it to AWS Lambda.
• The function runs only when triggered (e.g., by a user request or data update).
• AWS handles all the backend work: provisioning servers, running the code and shutting them down after execution.
• Other examples include Google Cloud Functions and Azure Functions.

Impact of Serverless Architectures on Application Development
1) Faster Development Cycles
• Developers focus only on writing business logic, not on infrastructure.
• This reduces development time and speeds up time-to-market.
2) Reduced Operational Complexity
• No need to manage operating systems, patches, or load balancers.
• DevOps teams can focus on monitoring and optimizing performance rather than maintaining servers.
3) Cost Efficiency
• Pay-per-use model helps reduce costs, especially for apps with variable traffic.
• No need to over-provision servers for peak usage.
4) Automatic Scaling
• Applications can handle sudden spikes in traffic without manual intervention.
• Ideal for modern web and mobile apps that experience unpredictable loads.
5) Micro Services-Friendly
• Serverless works well with micro services architecture, where apps are broken into small, independent functions.
• Each function can be developed, deployed and scaled independently.
6) Improved Fault Tolerance and Availability
• Cloud providers ensure high availability and fault tolerance by design.
• Built-in redundancy ensures applications remain stable even during failures.