On the way of enterprise cloud service transformation methodology

Potential problems with cloud computing

First of all, you must have a clear understanding of the risks of http://www.aliyun.com/zixun/aggregation/14341.html > Implementing Cloud Computing:

Service availability: Many cloud services are still in beta, and service outages on cloud platforms can occur frequently. Therefore, the loss caused by cloud service interruption must be clearly foreseen;

Security: Any system is difficult to ensure that no defects, specific to the cloud platform, the problem is often a large area of proliferation. Another issue that must be addressed is: is it feasible to transmit confidential information on a cloud platform?

Lack of standards: companies that develop cloud services must recognise that there are few standards in the current cloud computing world. This means that applications developed on one cloud platform will encounter difficulties in executing on another cloud platform;

Data transmission rate: Network throughput is often a bottleneck, which limits the applicability of cloud service data-intensive environments;

Software License: Most enterprise software vendors do not consider the software licensing system for cloud computing. Software licensing in the cloud requires a completely different pattern.

A reference model for cloud service transformation

Therefore, in the implementation of cloud computing projects must follow an effective way to achieve the desired results, HP's cloud computing and service transformation Reference Model has been widely recognized by the industry. The model includes five development stages and six related areas that can help users realistically assess their own cloud computing base, identify their own development goals and capabilities, and develop a blueprint for implementing cloud computing services.

The five cloud services development phases are:

Standardization "phase: this phase of the IT users with functional application management, through the integration and optimization of internal to achieve standardization, direct control it costs, increase the effectiveness of investment;

Optimization phase: This phase of the IT organization and users together through the established integration plan and existing structural capabilities for IT architecture improvement and implementation, promote hardware, software, database management systems, integration specifications and procurement and other aspects of standardization and integration, laying the foundation of it optimization. Later, IT organizations will start exploring opportunities for it resource sharing;

Service-driven phase: At this stage, it organizations and consumers recognize that centralized management and shared use of IT infrastructure and technology architectures are key to further cost reduction, and that the focus shifts from capacity management to planning for shared functionality. This is the early stage of building cloud services;

Differentiated Service Source phase: This phase IT organization manages common and shared it infrastructures as common assets. This is the IT service delivery phase, and all it hardware and software resources have become services for cloud consumers. It organizations have been able to accept services from external cloud providers, where service sources are becoming more dynamic, and services are differentiated into solutions that are less optimized;

Cloud service Delivery Phase: All components in this phase have become the delivery carrier for cloud services. If the infrastructure is large enough, it management can consider becoming a public or private cloud provider. In particular, a large number of internal flow of automation, so that the scale of cloud services operating advantages to give full play.

(Responsible editor: The good of the Legacy)