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Introduction to Cloud Computing
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Welcome, class! Today weβre discussing the Cloud Computing Model. Can anyone tell me what cloud computing is?
I think itβs about using services on the internet instead of on our local machines.
Exactly! Cloud computing allows us to use resources like storage and applications online. It's like having a virtual toolbox we can access from anywhere!
What makes cloud computing different from traditional computing?
Great question! Traditional computing often relies on local resources, while cloud computing emphasizes remote access, scalability, and on-demand services.
Can you give us examples of those on-demand services?
Sure! Think of how you can quickly spin up a virtual server or save files in the cloudβactions that are immediate and do not require manual intervention.
To remember this, think of the acronym 'BARRS': Broad access, Automatic provision, Resource pooling, Rapid elasticity, and Service measurement. Let's summarize these key points!
Key Characteristics of Cloud Computing
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Now letβs explore the key characteristics of cloud computing. Who can tell me what 'on-demand self-service' means?
Does it mean that users can get resources whenever they want without waiting?
Exactly! Users can provision resources as needed with no human interaction required. This speeds up processes significantly.
What about resource pooling?
Resource pooling means multiple consumers share the same physical resources without knowing who else is using them, which enhances efficiency. Itβs like a shared office space!
How does rapid elasticity come into play?
Great point! Rapid elasticity allows resources to scale quickly based on demand, providing the illusion of unlimited resources.
Remember the mnemonic PAREM: Provisioning On-demand, Access, Resource sharing, Elasticity, and Measurement. Let's summarize the key characteristics of cloud computing before moving on!
Service and Deployment Models
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Letβs discuss the different service models in cloud computing. Who can name the three primary service models?
IaaS, PaaS, and SaaS!
Correct! Let's break these down. IaaS provides virtualized computing resources; PaaS offers a platform to develop and deploy applications; and SaaS delivers fully-functioning software applications over the internet.
Could you clarify how IaaS differs from SaaS?
Sure! With IaaS, users manage operating systems and applications, while SaaS provides fully operational software with no backend management needed by usersβjust access it!
Also, deployment models vary: public cloud, private cloud, hybrid cloud, and community cloud. Each offers its own benefits and trade-offs based on security, privacy, and control.
To help remember the service models, think of the acronym 'PISA': Platform, Infrastructure, Software, and A for Application. Let's summarize!
Relation of Cloud Computing to Distributed Systems
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Finally, how does cloud computing relate to distributed systems? Anyone want to take a guess?
Does it provide the infrastructure for distributed systems?
That's right! Cloud computing provides the foundational infrastructure for running distributed systems efficiently using virtualization and containerization technologies.
What about security? Does cloud computing help with that?
Good point! Cloud providers often implement comprehensive security measures at the infrastructure level, making it easier to enforce security policies.
So, cloud computing enhances scalability and management in distributed systems?
Exactly, and it allows organizations to focus on deploying their applications rather than managing hardware. Letβs wrap up with what we learned today!
Introduction & Overview
Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.
Quick Overview
Standard
This section describes how the Cloud Computing Model redefines resource management in distributed systems by providing on-demand self-service, broad network access, and resource pooling. It highlights essential characteristics like rapid elasticity and measured service, along with the relationship to distributed systems.
Detailed
Cloud Computing Model Detailed Summary
The Cloud Computing Model represents a paradigm shift in how computing resourcesβ including servers, storage, and applicationsβare provisioned and consumed. Unlike traditional models where resources are locally controlled, the cloud provides a robust infrastructure that allows users to access resources on demand over the internet. This model is characterized by several key attributes:
- On-Demand Self-Service: Users can provision resources automatically without human intervention.
- Broad Network Access: Resources are accessible over the network, accommodating various devices like mobile phones and laptops.
- Resource Pooling: Providers pool resources in a multi-tenant model, dynamically assigning resources based on demand.
- Rapid Elasticity: Resources can be quickly scaled to meet demand, appearing unlimited to the consumer.
- Measured Service: Resource usage is monitored and reported, providing visibility for both providers and consumers.
The Cloud Computing Model encompasses various service models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Additionally, the deployment models include public, private, hybrid, and community clouds. It fundamentally supports the architecture and deployment of distributed systems by leveraging technologies like virtualization and containerization.
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Concept of Cloud Computing
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A broad model that fundamentally shifts computing resources (servers, storage, networks, applications) from local control to remote, shared pools accessible over a network. It emphasizes on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service.
Detailed Explanation
The Cloud Computing Model represents a significant change in how we use computing resources. Instead of keeping resources like servers and storage on local machines, cloud computing allows users to access these resources over the internet from remote locations. This model emphasizes several key features. On-demand self-service is where users can obtain computing capabilities automatically without needing to interact with service providers every time. Broad network access means that users can access these resources from various devices, like phones and laptops. Resource pooling allows cloud providers to supply services to multiple consumers more efficiently, adjusting resources dynamically based on demand. Rapid elasticity lets users scale their resources quickly according to usage, and measured service monitors resource use, providing transparency to both providers and consumers.
Examples & Analogies
Think of cloud computing like a water supply system. Instead of having your own well or water tank at home (like local servers), you can tap into a city's water supply (the cloud). You get water (computational resources) on-demand when you turn on the tap, and the city can adjust how much water is available based on everyone's needs without you having to worry about maintenance or storage.
Characteristics of Cloud Computing
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Characteristics:
- On-Demand Self-Service: Users can provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider.
- Broad Network Access: Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, workstations).
- Resource Pooling: The provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand.
- Rapid Elasticity: Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time.
- Measured Service: Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer.
Detailed Explanation
Cloud computing has several important characteristics that enhance its usability. Firstly, on-demand self-service lets users access computing resources such as servers and storage anytime without needing to talk to a provider. Secondly, broad network access ensures users can reach these services through standard platforms, whether they're on mobile devices or desktop computers. Resource pooling allows cloud providers to maximize efficiency by serving multiple customers with shared resources. This is handy in managing demand dynamically. Additionally, rapid elasticity helps users scale resources quickly to accommodate fluctuations in needβlike adding more servers during peak usage without delay. Finally, measured service tracks usage, allowing users and providers to monitor resource consumption, ensuring accurate billing and efficient resource management.
Examples & Analogies
Imagine you are an event organizer who needs to rent chairs for a large gathering. With traditional rental (local computing), you'd have to find a rental place, book the amount you think you'll need, and hope thatβs enough (local management). In contrast, cloud computing is like a rental service that lets you order chairs on-demand, scale up or down instantly based on your event size, and only pay for what you use. You can even see how many chairs you have at all times.
Service Models in Cloud Computing
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Service Models: (discussed in Topic 11.4): Typically categorized into Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Detailed Explanation
Cloud computing can be categorized into three main service models: IaaS, PaaS, and SaaS. Infrastructure as a Service (IaaS) provides virtualized computing resources over the internet; users can rent servers and storage and have full control over operating systems and applications. Platform as a Service (PaaS) offers a platform allowing developers to build, deploy, and manage applications without dealing with the underlying infrastructure. Finally, Software as a Service (SaaS) delivers fully functional software solutions over the internet, where users donβt have to worry about any infrastructure or platform requirements; they just access the software over the network.
Examples & Analogies
Think of IaaS, PaaS, and SaaS as different levels of service at a restaurant. IaaS is like ordering ingredients and cooking them yourself at homeβyou have full control but do all the work. PaaS is like going to a restaurant where you're left to create your meal with a provided kitchen and ingredients; you handle the cooking, but the restaurant assures the space and tools. SaaS, on the other hand, is like simply ordering a full dish off the menu and enjoying it without needing to think about cooking at all.
Deployment Models in Cloud Computing
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Deployment Models: Public cloud, private cloud, hybrid cloud, community cloud.
Detailed Explanation
Deployment models in cloud computing refer to how the cloud services are delivered and managed. A public cloud is managed by third-party providers and shared across multiple clients, where resources are offered over the internet. A private cloud, in contrast, is dedicated to a single organization, providing more control and security. Hybrid cloud combines both public and private clouds, offering flexibility and scalability while maintaining security for sensitive data. Community cloud is similar to a private cloud but shared among organizations with common concerns, such as privacy, compliance, or performance requirements.
Examples & Analogies
Think of deployment models like different types of housing arrangements: a public cloud is like renting an apartment in a large condominium where everyone shares the same facilities (like pools and gyms). A private cloud is akin to owning a single-family home, where you have complete control and privacy over your space. A hybrid cloud is like having both a condo for general living and a house for special occasions, allowing you to mix and match where you need to be. Community cloud is similar to a shared neighborhood where only specific people have access, ensuring that privacy is maintained while sharing certain resources.
Cloud Computing and Distributed Systems
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Relationship to Distributed Systems: Cloud computing fundamentally provides the infrastructure and platform for deploying and running distributed systems. It leverages virtualization, containerization, and distributed storage/networking to offer these elastic services.
Detailed Explanation
Cloud computing is integral to distributed systems as it provides the necessary infrastructure and platform for them to function effectively. By utilizing virtualization, cloud computing allows multiple virtual instances to run on a single physical machine, optimizing resource usage and reducing costs. Containerization further enhances this by enabling applications to run independently and consistently across various computing environments. Additionally, distributed storage and networking help ensure data is accessible across different locations, making systems more resilient and scalable.
Examples & Analogies
Imagine building a toy factory where each machine works individually but collaborates on the final productβthis is like a distributed system. Cloud computing is the warehouse that holds all machines, allowing them to operate separately yet efficiently share resources and data. As the demand for toys fluctuates, the factory adapts, pulling in extra machines and storage on the fly, much like how cloud infrastructure can scale up or down based on user needs.
Definitions & Key Concepts
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
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Cloud Computing Model: The shift from local to remote resource sharing and management over the internet.
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On-Demand Self-Service: Users can provision resources without needing direct interaction with service providers.
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Resource Pooling: Resources are shared among multiple consumers dynamically.
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Rapid Elasticity: The flexible ability to scale resources based on current demand.
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Service Models: IaaS, PaaS, and SaaS represent different levels of abstraction in cloud services.
Examples & Real-Life Applications
See how the concepts apply in real-world scenarios to understand their practical implications.
Examples
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Using Dropbox or Google Drive for online file storage without local infrastructure.
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Deploying a web application on AWS using Elastic Beanstalk (PaaS) without worrying about the underlying IT infrastructure.
Memory Aids
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
π΅ Rhymes Time
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In the cloud, resources abound, scales up and down, never a frown.
π Fascinating Stories
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Imagine you are renting a house (IaaS), living in an apartment complex where you share services (PaaS), and enjoying a fully furnished hotel stay (SaaS). Each setting represents how we interact with cloud services.
π§ Other Memory Gems
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Remember BARRS: Broad access, Automatic provision, Resource sharing, Rapid elasticity, Service measurement for key cloud concepts.
π― Super Acronyms
PISA stands for Platform, Infrastructure, Software, and Application to recall the cloud service models.
Flash Cards
Review key concepts with flashcards.
Glossary of Terms
Review the Definitions for terms.
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Term: OnDemand SelfService
Definition:
A characteristic of cloud computing that allows users to provision resources automatically without human intervention.
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Term: Broad Network Access
Definition:
The capability of cloud services to be accessed over the network through standard mechanisms, facilitating usage across various devices.
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Term: Resource Pooling
Definition:
Pooling computing resources from a provider that are shared among multiple consumers in a multi-tenant model.
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Term: Rapid Elasticity
Definition:
The ability to quickly provision and release resources, scaling up or down based on demand.
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Term: Measured Service
Definition:
Characterizes cloud systems that provide metering capabilities for resource usage, enabling transparency for both providers and consumers.
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Term: IaaS
Definition:
Infrastructure as a Service, where users rent virtualized computing resources.
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Term: PaaS
Definition:
Platform as a Service, offering a development and deployment environment in the cloud.
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Term: SaaS
Definition:
Software as a Service, providing fully functional software applications over the internet.
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Term: Public Cloud
Definition:
A cloud model where services are rendered over the internet and shared among multiple organizations.
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Term: Private Cloud
Definition:
A cloud environment exclusively used by a single organization, providing enhanced security and control.