The determinants of cloud computing development

Cloud computing, which uses large data centers for managed network mail, search results, unified communications, or paid computing and storage, has become the focus of chief information officers in major it areas. However, the future of cloud computing can be ultimately recognized, not the technical aspects of which can be determined, the more decisive role is the strategic and economic factors.

On the one hand, "The Big Switch" editor Carr also believes that the final calculation will be cloud migration, as in the last century, the application of electricity development trend. As Carl has shown, companies in the early industrial stages are generating localized mechanical power through steam engines and water tankers to increase productivity, in short, by transmitting the power of a small area network through the transmission of belts and gears. And when it began to enter the dawn of the power industry, businesses are starting to upgrade to power-driven generators--and "cloud migration", just as the same power from steam to hyper-scale, free of geographic limits, paid for on-demand service transfer under usage: the power industry. Carl's predictions seem to be evolving, knowing that the largest cloud service providers have broken 1 billion of billions of dollars.

On the other hand, experts in more than one technology industry say the cloud is "completely unintelligible", with an industry-respected consultancy claiming that the rise of the cloud has reached the peak of expectations and that the number of enterprise users actually receiving infrastructure as services is lower than expected. Karl himself admits that "all historical references and analogies have their own limitations".

So enterprise-class cloud computing is becoming a low-key transformation or niche technology? At the upcoming Businessesflat-out Annual conference in Gigaom receptacle in June this year, the author will be attending a seminar, with a partner from McKinsey, who reports "Sky for Cloud computing", "will Forrest, Forrester Research's chief analyst and public Cloud and private cloud computing expert James. Stanger Deloitte Consulting's Center for the Edge's director and Chairman and World Economic Forum member John. Hegel discussed it in depth. We may not all share the same view, but mutual discussion should inspire everyone, since enterprise decisions and architectures should ultimately be based on several key elements:

Drivers and barriers: these should include increased flexibility and mobility from on-demand scalable resources, reduced overall costs by optimizing hybrid solutions, accelerated time-to-market through existing application software and innovative platforms, limitations and requirements for application software architecture, security, and more.

Development and configuration options: The solution should be built from scratch, using pre-installed software on its own dedicated infrastructure, all using the cloud, or a combination of ways to outsource.

Measuring and modeling: from Finance, a comparison of risk, compliance, user experience, and competitiveness is necessary because the factors that need to be taken into account are determining cost and depreciation assets, migration costs, marginal cost investments or use for deployment and associated energy consumption, refrigeration, footprint, management, administrative expenses, The key role of certification and training, as well as phased solutions--the new capabilities of the reserves should be taken in the first place by tapping underutilized computing resources, or the need for additional computing power to drive new data centers to build--complicating the situation further.

Trends: differences between Enterprise and cloud cost architectures will change over time in terms of competitive strength, scale economy, learning curve, and technology and best practices. There is a general argument that larger cloud providers have an advantage in economies of scale, but these can also be illusory or lack of evidence to support, because the same factors-such as servers, storage, automation tools, and even the same choices (such as optimizing Web sites)-are both enterprise-and cloud-providers.

Demand: changeable and unpredictable user needs depending on the overall economic factors and the impact on the supply chain and configuration, will affect the overall cost-performance balance, while the use of each service to pay the advantage of the difference in the demand curve based on changes.

Consider these factors together. Carr's forecasts are likely to be achieved because the public cloud offers very attractive cost advantages, enhanced flexibility, increased user experience, and reduced risk. On the other hand, the service automation management and the limited cost variance between the manufacturing, purchasing, relatively stable requirements and the internal solution preferences constitute a virtual, automated, standardized enterprise data center.