A cloud computing system is the configuration of a series of IT resources, specifically for running applications, rather than being assigned to its static applications as client or server computing. In a cloud computing environment, when a user issues a request to obtain information from an application (for example, through a virtual desktop), the cloud computing environment must schedule resources to run the application.
No matter what form of application and resource scheduling, virtualization is a key element. In order to further explore the reasons for this, let us first look at this process from the virtual desktop:
Users request application resources in the form of symbols (such as through URL or Web Service UDDI)
The cloud computing environment intercepts this request and assigns resources for the task
Load resources into required software
Return the resource address to the user; application interaction begins
As can be seen from the above process, the most important requirement for cloud computing is that users must look at applications from the perspective of virtualization, and they must never assign a static address to application resources. If you do this, you will prevent flexibility in resource allocation in the cloud environment. Although all cloud computing models must support a virtual "front-end" interface that interacts with users, the management of these virtual resources may be different for different embodiments.
Cloud computing model
Cloud computing is a completely new concept-its prospects are so exciting, and the applications it supports are also innumerable. As long as the efficient connection of cloud resources and virtual desktops is ensured, enterprises can obtain a large number of cloud services from available third parties. From the perspective of maximizing performance and minimizing cost, cloud computing also effectively redirects the computing center to the cloud model. Using application tools (such as Web Service Directory, UDDI) or using network tools to maintain server load balancing, server resource pools can be virtualized. Through these server pools, the simplest cloud computing model can be created. The problem with this model is that there is no significant improvement compared to the client or server architecture. Because the model cannot provide true resource independence (the server is still assigned to an application collection).
The next step in cloud architecture is to use software tools that build applications that use the cloud. Salesforce.com uses these tools in its platform-as-a-service (PaaS: Platform-as-a-Service) model. These tools ensure that applications under this architecture can be allocated to resource schedulers on multiple servers and can still run in a way that does not disrupt other users. This model is very popular among cloud computing network providers; and using the provider's application tools, the model can be integrated with SaaS services of the same provider.
Network providers (or even enterprises) can build more complex models by combining network virtual storage technology and virtual server technology. This model can store the application as a "mirror" or "instance" in the cloud.
After receiving an application request, the request is assigned to a virtual server. This virtual server is loaded from the stored application image backup and is authorized to access the required data (these data are stored in the storage pool). The use of the virtual server here can achieve the independence of the operating system, as long as the hardware system has regular binary execution Format (for example, x86 instruction set). Amazon's Elastic Cloud Computing (EC2: ElasTIc Cloud CompuTIng) belongs to this model. Similar models can be created using Java Virtual Machine technology. Java applications can run on any hardware platform, while providing more independent resources.
The "final version" of the cloud computing model should be that all resource virtualization will be logically integrated with the resource scheduler. At this time, resource consumption, network connectivity, performance requirements and user geography need to be considered. The IBM or Google cloud computing model meets this requirement: integrating tools from Cisco or other virtualized merchants can build a similar framework. For cloud end users, the difference between this model and the previously mentioned model is less cost and better performance. Both factors stem from the improved resource scheduler process. It is important to note that most cloud computing architectures and services are built on Web Service or SOA framework, but the connection to both is not necessary. In fact, the cloud resource can be regarded as a server in the client / server device architecture. Because many companies use cloud computing as a way to support a specific set of applications, this application is relatively rare. Therefore, they replenish their own IT resources. If all applications show their capabilities like Web Services, then the integration of special specific applications and internal applications requires the best performing and most flexible virtual desktop tools.
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