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Characteristics of cloud computing (why save resources)
AI Development and Cloud Computing
Three mainstream computing modes of cloud computing:
What is cloud computing?
Cloud computing is an Internet-based computing model that provides computing resources (such as computing power, storage space, and applications) to users for on-demand use anytime, anywhere. It transfers computing tasks and data storage from a local computer to a remote server cluster (ie cloud), which is accessed and managed through the Internet.
In the cloud computing mode, users do not need to own and maintain their own physical servers or infrastructure, but rent the required computing resources through cloud service providers. Cloud service providers are responsible for maintaining and managing these resources, and provide services such as flexible resource allocation, elastic scaling, and pay-as-you-go.
Characteristics of cloud computing (why save resources)
1. Elastic scaling: Cloud computing allows dynamic adjustment of the scale of computing resources according to demand. Users can increase or decrease resource usage according to changes in business load to achieve higher flexibility and efficiency.
2. Pay-as-you-go: Cloud computing adopts a pay-as-you-go model, and users only need to pay according to the amount of resources actually used. This model avoids the problems of excessive investment and waste of resources for users, and provides a more cost-effective computing solution.
3. Resource sharing: Cloud computing provides a resource sharing mechanism, and multiple users can share computing, storage and network resources on the same physical infrastructure. This sharing model improves resource utilization, reduces costs, and enables users to get the resources they need on demand.
4. Virtualization technology: With the help of virtualization technology, cloud computing realizes the virtualization and isolation of resources. By virtualizing physical resources into multiple virtual instances, multiple virtual machines or containers can be run on the same physical device to achieve flexible allocation and isolation of resources.
Cloud computing is widely used in various fields, including enterprise-level applications, mobile applications, big data analysis, artificial intelligence, etc. It provides users with convenient, flexible and efficient computing resources, and promotes the development of digital transformation and innovation.
Cloud Computing Development:
The first is that users use large processors , but a single point of failure on a large processor can affect many people. Therefore, distributed processors appeared . Although distributed processors can solve the problem of single point of failure and resource expansion, they will cause waste of resources. Therefore, a virtualized cloud computing method was finally proposed.
AI Development and Cloud Computing
Cloud computing is closely related to the current development of AI, and cloud computing provides strong support and impetus for the development of AI. The following is the outlook for cloud computing and current AI development:
- Strengthen AI training and reasoning capabilities : The training and reasoning process of AI algorithms requires a lot of computing resources and storage space. Cloud computing provides powerful computing capabilities and flexible storage services to meet the growing demand for AI training. In the future, with the further development of cloud computing technology, the training and reasoning capabilities of AI algorithms will be further strengthened, so as to realize more complex and smarter application scenarios.
- Provide rich AI services and platforms : cloud computing provides rich AI services and platforms, including image recognition, speech recognition, natural language processing, etc. These services enable developers to more easily integrate and apply AI technologies without having to build and train models from scratch. In the future, cloud computing will continue to launch more AI services and platforms to meet the needs of different industries and application fields.
- Accelerating AI research and innovation : Cloud computing provides large-scale computing and storage resources, enabling AI researchers to conduct experiments and model training more quickly, and accelerate the research and innovation of AI algorithms. Cloud computing also provides researchers with a platform for data sharing, collaboration and openness, promoting cross-institutional and cross-international cooperation. In the future, cloud computing will continue to play an important role in AI research and innovation.
- Promote the popularization and application of AI : Cloud computing provides highly scalable and flexible resources, enabling small and medium-sized enterprises and individual developers to easily use and apply AI technology. Cloud computing lowers the threshold of AI, enabling more enterprises and individuals to benefit from the power of AI. In the future, with the popularization of cloud computing and the maturity of AI technology, AI will be widely used and promoted in various industries and fields.
Overall, cloud computing will provide continuous impetus and support for the current development of AI. It will accelerate the research and innovation of AI algorithms, provide rich AI services and platforms, and promote the popularization and application of AI.
Three mainstream computing modes of cloud computing:
Infrastructure as a service (IaaS, Infrastructure-as-a-Service): cloud server, cpu, hard disk, etc.
Platform as a Service (PaaS): database services, big data computing platforms, etc.
Software as a Service (SaaS): Mailbox, WeChat, Alipay, etc.
These three modes have no evolutionary relationship and exist at the same time, but they only target different user groups.
With the development of cloud computing, a new model is proposed - FaaS
Saas platform?
SaaS (Software as a Service) is a cloud computing service model, which is a delivery model for providing software applications based on the Internet . In the SaaS mode, software applications are run and managed through the cloud service provider's server, and users access and use them through the Internet without installing and maintaining software locally.
The SaaS model has the following key features:
- Multi-tenant architecture: SaaS providers deploy a single application instance on their servers, and multiple users can simultaneously access and use the application over the Internet. This multi-tenant architecture enables resource sharing and cost optimization while ensuring data isolation and security between users.
- Web Access: Users can access SaaS applications through the Internet through various devices (such as computers, tablets, mobile phones). This allows users to use applications anytime, anywhere, without being tied to specific hardware or location.
- Pay-as-you-go: The SaaS model usually adopts a pay-as-you-go model, and users pay according to the functions and services they actually use. This model avoids a one-time high software purchase fee, and users only need to pay subscription or usage fees, which improves economic benefits.
- Automated upgrades and maintenance: SaaS providers are responsible for software upgrades, maintenance and technical support. Users don't need to worry about software updates and patches. The SaaS provider will automatically provide users with the latest version and function updates, reducing the management burden of users.
- Customization and integration: SaaS applications usually have a certain degree of customization and configurability to meet the needs of different users. In addition, SaaS applications can also be integrated with other systems and services to exchange and share data.
The SaaS model is widely used in various fields, including enterprise resource planning (ERP), customer relationship management (CRM), human resource management (HRM), project management, online collaboration and office tools, etc. It provides users with flexible, cost-effective and easy-to-use software solutions, reduces the complexity of software deployment and management, and promotes business innovation and development.
In layman's terms:
When we use SaaS (Software as a Service), it's like we rent software services on the cloud instead of buying and installing software on our own computers.
Imagine you need an office software to work with documents, make presentations and manage spreadsheets. The traditional way is to buy a set of office software and install it on your computer. However, when you use SaaS, you only need to access an online platform of office software , such as Google Docs or Microsoft Office 365, through the Internet. You can log into the platform using your web browser and start editing and saving your documents immediately without installing any software on your computer.
The benefits of SaaS are manifold. First, you don't need to worry about software installation and configuration , as these tasks are handled by the SaaS provider. Second, you can access your apps and data over the internet anytime, anywhere, as long as you have an internet-connected device. In addition, you only pay for using the software, rather than buying the whole package, which saves costs.
In conclusion, SaaS is a convenient, flexible and affordable way to obtain software services. It allows us to use software on a rental basis without worrying about installation, updates and maintenance. We only need to log in to the online platform through the Internet to obtain the functions and services we need.
What is a FaaS platform?
The FaaS (Function as a Service) platform is a cloud computing service model that provides a function-centric development and deployment method. In the traditional cloud computing model, developers need to focus on server configuration, network settings, and scalability. On the FaaS platform, developers only need to focus on writing and deploying functions without managing the underlying infrastructure.
FaaS is also called serviceless (serverless). It does not mean that there is no server, but that users do not need to care about operation and maintenance issues, and only need to focus on business logic.
Tencent Cloud - Serverless Cloud Server: The function runs in the form of a container, and the user does not need to pay attention to the details, and the container automatically expands according to the QPS. And if it is not used for a long time, it will be automatically destroyed to save resources, and it will be created immediately for the next use.
How FaaS Platforms Work
- Function writing: Developers write self-contained, stateless functions that perform specific tasks or handle specific events. Functions are usually small, self-contained pieces of code, and they can be written in a variety of programming languages, such as JavaScript, Python, Go, etc.
- Event triggering: The FaaS platform invokes functions through an event triggering mechanism. Events can come from various sources, such as HTTP requests, messages from message queues, timer triggers, etc. When an event occurs, the FaaS platform will automatically pass the event to the corresponding function for processing.
- Function execution: When an event is triggered, the FaaS platform will dynamically allocate computing resources and pass the event to the function for execution. After the function completes the task, it can return the result to the caller or trigger other events.
- Elastic expansion: The FaaS platform has the ability of elastic expansion, and can automatically adjust the allocation of computing resources according to the actual request volume and load conditions. This can ensure that the function can respond quickly under high concurrency and avoid resource waste.
Advantages of FaaS platform
- Simplified development and deployment: Developers only need to focus on writing function logic without managing servers and infrastructure, reducing the complexity of development and deployment.
- On-demand billing: The FaaS platform bills according to the actual function execution time and resource usage, and the cost can be flexibly adjusted according to the actual usage.
- Elastic expansion: The FaaS platform can automatically expand computing resources according to load conditions, providing high availability and elastic service capabilities.
- Event-driven: Through the event-triggered mechanism, various asynchronous and event-driven application scenarios can be realized, such as message processing, data conversion, timing tasks, etc.
In layman's terms,
when we talk about a FaaS platform, we can compare it to a function factory . In this factory, developers only need to provide the logic of the function, just like assembling a small tool, without worrying about the underlying server and infrastructure.
First, developers need to write functions, just like writing an independent code fragment, this function will perform a specific task or handle a certain event. This function can be written in various programming languages.
Then, the FaaS platform will provide an event-triggered mechanism. When an event occurs, such as a user initiates a request, the FaaS platform will pass the event to the corresponding function for processing. The function will perform the corresponding task, and then return the result to the user.
Moreover, this FaaS platform is very flexible, it can automatically allocate computing resources to functions according to the actual situation . For example, during the peak period, it will automatically increase resources to cope with high concurrent requests, while during the low period, it will automatically reduce resources to avoid resource waste.
The advantage of using the FaaS platform is that developers can focus on writing function logic without worrying about server and infrastructure management. Moreover, the billing is also billed according to the actual function execution time and resource usage, and the cost can be flexibly adjusted according to the actual usage .
In short, the FaaS platform is like a function factory. Developers only need to provide function logic and do not need to care about the underlying servers and infrastructure. At the same time, they can automatically allocate resources according to needs and provide flexible and efficient services.