The cloud computing platform is also known as the cloud platform. The cloud computing platform can be divided into three categories: a storage-based cloud platform based on data storage, a computing-based cloud platform based on data processing, and an integrated cloud computing platform that combines computing and data storage processing.
Second, cloud computing platform service features(1) Service is everywhere - users only need a computing device with basic computing power and an effective Internet connection, you can use the service anytime, anywhere. In this sense, any networked application has the potential to become a cloud computing platform.
(2) Having access costs - the user has the need to use the service, but does not have the economic or technical conditions to provide the service independently. For example, some companies need to perform large-scale computing on a regular basis, but it is not worthwhile to purchase a computing device with large-scale computing power. By developing a customer base, the Supercomputing Center allows multiple users to share the cost of a supercomputer, enabling its users to complete computing tasks at a lower cost without having a computing device.
(3) The user decides the application--the cloud computing platform provides computing power (including processor, memory, storage, network interface), but does not care about the user's application type. Users use the computing power provided by the cloud computing platform and fully consider the (technical and economic) constraints set by the cloud computing platform to develop a variety of applications. Cloud computing platforms that meet the above conditions can be subdivided into infrastructure services (IaaS, such as online storage and database services) and platform as a service (PaaS, such as AMP web hosting and JavaEE application servers) according to the level of services they provide. Containers) and software as a service (SaaS, such as GoogleDocs). When many manufacturers mention cloud computing, they often mention the concepts of distributed computing (DistributedCompuTIng), parallel computing (ParalleCompuTIng), grid computing (GridCompuTIng), and practical computing (UTIlityComputing). In fact, users don't care about these new terms. All they care about is whether a service is available and the cost of using it. To put it bluntly, these concepts are just technical details that cloud computing platform providers need to understand when creating cloud computing platforms. They can be considered as the appearance of cloud computing, but not the essence of cloud computing.
Third, the function of the cloud computing platformCloud computing platforms enable companies to leverage their IT hardware and software investments more effectively. Through this infrastructure, enterprises can break the physical barriers inherent in isolated systems, and the management of system groups is as automatic as a single entity. Cloud computing platforms are the best choice for providing information services, reducing IT management complexity, promoting innovation, and improving responsiveness through real-time workload balancing.
Let's take a look at a few scenarios to see what happens after using a cloud computing platform:
1) When you need to use service resources:
Users can submit applications for using service resources online through a simple web interface. They can specify the desired start and end dates for their projects. The data center administrator can approve or reject this application. After approval, the automated service management platform selects appropriate resources such as servers, storage, operating systems, and software from the pool of available resources and deploys them based on the resource configuration requirements applied for. The user only needs to wait for a short time to receive the information automatically sent by the platform, telling the user that the required resources have been deployed and can be used.
2) When the service resources are tense:
The virtual world requires a lot of computing power, especially when the virtual space is expanded or the number of logged-in users increases. Massively multiplayer online gaming (MMPOG) is a model for a very large virtual world. Some commercial virtual worlds have up to several million registered users and are supported by thousands of servers.
Enterprises hosting virtual worlds can display the current infrastructure usage through real-time monitors in the automated service management platform, or display the average response time of customers in any given "area" of the virtual world. The company found that the number of users in Area A increased significantly, resulting in increased resource usage and slower response times, while the number of users in the X and Y areas was smaller and the load was lower. Therefore, the enterprise can rebalance resources manually in the automated service management platform. (Of course, we can also define the strategy of resource balance use in the platform in advance, so that when the resource usage is tight, the management platform can follow The defined strategy automatically triggers the corresponding operation. Five servers are respectively removed from the X area and the Y area, and the 10 servers are provided to the A area for use in mitigating the load. After a few minutes, the 10 servers were reassigned, and the process did not affect any users in any area, and the response time of Area A returned to an acceptable level. The company has achieved significant cost savings by reusing underutilized equipment, maintaining high customer satisfaction, avoiding the need for users to call the help center for help, and completing the previous needs in a matter of minutes. Work done in days or weeks.
The main needs of users for cloud computing platforms include:
The cloud computing platform is preferably a web-based portal service that allows users to easily log in and apply for the required resources.
The platform should be able to discover the available resources in the data center in an automated or semi-automatic manner and provide it to the user to choose.
The platform should be supported by the process engine and can integrate management processes (such as ITIL) such as application, approval, review, and auditing.
The back end of the cloud computing platform should be a series of systems for deployment, monitoring, and billing to meet user requirements for applying for resources.
Automated supply
Users automate the provisioning through a role-based web portal. Users fill out a form on the portal to define their hardware platform, CPU, memory, storage, operating system, middleware and team members and their associated roles. The entire process takes about 5 minutes. Once the request is submitted through the portal, the data center administrator is notified and logged in to approve, modify, and/or reject the request. Once approved, the system launches a defined automated workflow to complete the deployment. The fully automated supply process meets security requirements, reduces errors caused by human causes, and greatly reduces system deployment time.
Booking and scheduling
When submitting a service request, the user needs to know the time of the resource usage. Because the user needs to fill in the start and end time of the service when submitting the application, this makes it easy for data center managers to understand the resource usage. At the end of the service arrival time, the system will automatically reclaim the resources so that they can be used by other services that require resources. Of course, the user can change the end time of the service, which is one of the important functions of the management platform, which we will explain in the following sections.
Change management
In some projects, there may be some unknown factors related to development delays or new demands. These unknown factors sometimes make it difficult to comply with the contractual end date, which is especially noticeable when the end date is confirmed a few months before the project is postponed. Therefore, the system allows the user to request an extension of their original contract end date.
Authorized project members can log in to the platform portal and request an extension of the contract end date. The data center administrator evaluates the request in terms of both resource capabilities and business rationality. Administrators can log in to the web interface to view the request and perform approvals. Once the new date is approved, the corresponding task will be performed and the contract will be updated to reflect the new end date.
Change contract
The cloud computing platform also provides the ability to change the service request resources. For high-risk projects that use new or untested technologies, it is often necessary to change the server's operating system, software, and other resources.
The contract change function of the cloud computing platform is very flexible, and users can add or remove software components in the original system or completely redeploy along with the operating system. Users can also add or remove servers from existing contracts, or choose to increase or decrease the amount of resources allocated to one or more virtual machines on a qualifying hardware system. When the change application is submitted, the change operation of the entire system is automatically performed. Without manual intervention, the system can complete the change request in a short period of time and provide it to the user.
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