Copy Data Between Servers

Recently, hear more play in doing a Chinese network game death file of the topic, I saw the content of the manuscript in advance, review the past development of Chinese online games 10 years of history, every year there are a lot of games out, and every year there are a lot of games completely disappear.　　As a worker who has been in the game industry for many years, seeing this topic, I can't help thinking about the reasons why Chinese online games are so much dead, first of all, I think of the two behind them: black and hacker. Our story starts with a web game. As the first domestic Java engine based on the development of 2.5D graphics MMO ...

Environment Description: Development platform is do.net b/S. NET Framework 1.1 official web server and test machine, are win2003 original one main web site, in six Web servers do load balancing. 　　Run more stable. A new sub station is now being developed to load balance on another three Web servers. 　　This load balancing setting is similar to the settings for the main web site. Solution Step: 1 The test machine is passed by the Sub station, and it runs normally. Prepare for the official environment (three Web service ...)

Henry and I are working on an examination of the big data and its true meaning. Large data is a popular language. As with many popular words, the word "big data" is a bit overused, but it contains some real usability and technology. 　　We decided to analyze the big data on this topic and try to find out the authenticity of it and what they mean to storage solutions. Henry started this series with a good introduction. His definition of big data is the best definition I have ever seen. So I'm going to repeat this definition: Big data is turning data into information ...

In recent years, with the emergence of new forms of information, represented by social networking sites, location-based services, and the rapid development of cloud computing, mobile and IoT technologies, ubiquitous mobile, wireless sensors and other devices are generating data at all times, Hundreds of millions of users of Internet services are always generating data interaction, the big Data era has come. In the present, large data is hot, whether it is business or individuals are talking about or engaged in large data-related topics and business, we create large data is also surrounded by the big data age. Although the market prospect of big data makes people ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

The storage system is the core infrastructure of the IT environment in the data center, and it is the final carrier of data access. Storage in cloud computing, virtualization, large data and other related technologies have undergone a huge change, block storage, file storage, object storage support for a variety of data types of reading; Centralized storage is no longer the mainstream storage architecture of data center, storage access of massive data, need extensibility, 　　Highly scalable distributed storage architecture. In the new IT development process, data center construction has entered the era of cloud computing, enterprise IT storage environment can not be simple ...

The traditional relational database has good performance and stability, at the same time, the historical test, many excellent database precipitation, such as MySQL. However, with the explosive growth of data volume and the increasing number of data types, many traditional relational database extensions have erupted. NoSQL database has emerged. However, different from the previous use of many NoSQL have their own limitations, which also led to the difficult entry. Here we share with you Shanghai Yan Technology and Technology Director Yan Lan Bowen - how to build efficient MongoDB cluster ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

Content Summary: The data disaster tolerance problem is the government, the enterprise and so on in the informationization construction process to be confronted with the important theory and the practical significance research topic. In order to realize the disaster tolerance, it is necessary to design and research the disaster-tolerant related technology, the requirement analysis of business system, the overall scheme design and system realization of disaster tolerance. 　　Based on the current situation of Xinjiang National Tax Service and the target of future disaster tolerance construction, this paper expounds the concept and technical essentials of disaster tolerance, focuses on the analysis of the business data processing of Xinjiang national tax, puts forward the concrete disaster-tolerant solution, and gives the test example. Key words: ...

Over the past one or two years, SaaS (software as a service), PaaS (Platform-service), cloud computing, these three concepts have been hot-fried in the software world. At first glance, there are many similarities between the three, such as the use of the Internet to provide related services or applications, are based on the rental model, and also pay on demand. But under the surface of prosperity, from a technical point of view, what are the differences between these concepts? Which vendors are providing relevant technology? What are the specific products? Many users of this is foggy, the choice can not be. We interviewed the industry ...