Recent Papers On Cloud Computing

As a new computing model, cloud computing is still in its early stage of development. Many different sizes and types of providers provide their own cloud-based application services. This paper introduces three typical cloud computing implementations, such as Amazon, Google and IBM, to analyze the specific technology behind "cloud computing", to analyze the current cloud computing platform construction method and the application construction way. Chen Zheng People's Republic of Tsinghua University 1:google cloud computing platform and application Google's cloud computing technology is actually for go ...

Companies should be the most powerful catalyst for future cloud computing. The emergence and development of more types of cloud operators with sustainable business models is a decisive factor in the development of China's cloud computing market. In China, IT companies have almost always won by localized services, with few Chinese companies with core technology and innovative awareness. The advent of cloud computing can be said to bring unprecedented potential opportunities for China's IT companies, for the following 5 points. The "no Software" concept of cloud computing: Make brand-packaged software no longer important, people no longer need to buy in batches ...

The recent investment in cloud computing by major giants has been very active, ranging from cloud platform management, massive data analysis, to a variety of emerging consumer-facing cloud platforms and cloud services. And the large-scale data processing (Bigdata 處理) technology which is represented by Hadoop makes "Business king" Change to "data is king". The prosperity of the Hadoop community is obvious. 　　More and more domestic and foreign companies are involved in the development of the Hadoop community or directly open the software that is used online. The same year with ...

Research progress of cloud security in China in recent four years Wang, by using the method of scientific metrology, the paper makes a statistic of the journal papers about cloud Security from 2008 to 2011, and analyzes and summarizes the current research status of cloud security from the aspects of literature quantity, periodical distribution, author and research subject, and the results show that the Huang The research of cloud security in Chinese academia focuses on 10 aspects, such as cloud security definition, data storage and transmission. This paper sums up the existing cloud security risks and countermeasures, and puts forward some suggestions on optimizing cloud security: Strengthening basic theory research and focusing on creating ...

Why is cloud computing successful? The success of cloud computing can be said to be "weather, geography, people and" the result of the comprehensive effect. "Timing" here refers to the timing of the introduction of concepts, "geographical location" refers to the concept of the technical basis, and "people and" is a lot of concepts advocates and huge market demand. Only the technology and market base can sometimes not be successful, but also need to have the right time. The financial crisis that swept the world in 2008 gave the cloud a chance. Affected by the financial crisis, a large number of companies to cut it costs, the original bulk of the procurement has been unable to ...

In the context of this recession, IT departments are facing problems with IT security budget constraints and increasing compliance requirements, and companies are considering whether some IT operations should be handed over to cloud service providers. In fact, everyone is under a deep pressure to protect the security of data, especially small and medium-sized enterprises, in the case of insufficient budget, which means that enterprises need to outsource part of IT operations to third parties in order to reduce capital and human investment. It's dangerous to be eager to get into cloud computing from a security standpoint, but if you think you can protect you better than a service provider ...

As personal cloud and professional cloud merge, it is becoming increasingly difficult for the IT department, which is responsible for increasing productivity while protecting enterprise applications and data. Bringing your own equipment to the workplace (BYOD) is 2012, and the next trend in the IT consumer world is to carry your own cloud. As with the huge influx of consumer devices into the corporate environment, many IT companies have listed what to do and what not to do about this new trend. The usual approach for businesses is to "use this, don't use that" approach, i.e. prohibit the use of personal cloud applications for business ...

With the explosion of information, micro-blogging website Twitter was born. It is no exaggeration to describe Twitter's growth with the word "born". Twitter has grown from 0 to 66,000 since May 2006, when the number of Twitter users rose to 1.5 in December 2007. Another year, December 2008, Twitter's number of users reached 5 million. [1] The success of Twitter is a prerequisite for the ability to provide services to tens of millions of users at the same time and to deliver services faster. [2,3,4 ...

Ai technology, known for its machine learning, is now at a white-hot stage, as we have mentioned many times before. The technology is driving the development of computer vision, language recognition, and text analysis technologies for companies such as Google, Facebook, Microsoft and Baidu, and has become the technology base for many start-ups (some of which have been acquired before the product is released). With the development of machine learning, these successes have received a lot of media attention. But what you're seeing is probably just a superficial phenomenon. Many studies are taking place in those non-large networks ...

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more similar ...