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"The standard is a very big bright spot!" For example, if you can at the cloud terminal to show customers that the clothing meets the ecological standards, color fastness, fiber content, etc. are qualified, safe, this is not only a responsible attitude to consumers, the enterprise image is also very beneficial. 　　March 28, in the "Heng Longyun customization--Apparel Digital Advanced Customization Forum", the Shanghai Textile Science Research Institute Party secretary Su Yigang speech received a lot of colleagues nodded recognition. In the increasingly prominent personality of the apparel customization field, the standards of the rules whether the art of the ...

Capacity planning has long been a word of mouth in the IT department, but it's just that. In the era of cloud computing, this situation has not changed much. While IT pros may quickly turn their attention to cloud computing capacity planning, they will at least once realize that they are overspending on cloud computing services. Capacity planning has emerged decades ago. At that time, IT administrators supervised large, centralized systems, and these large centralized systems cost millions of dollars. Fine-tuning systems and pre-upgrade planning is what IT departments can do for the most ...

Aliyun TV is coming! A "Alibaba announced to build China's largest full media cloud computing platform OnAir" News, stirred the television media industry, a river. 　　   　　It is said that the platform can help the traditional TV station to become a multi-screen network TV station in a week, support the computer website, mobile phone app, TV full terminal smooth playback, and can achieve large data collection and operation. Cloud TV represents the most advanced direction of intelligent TV, not only has the current digital TV, intelligent TV, all the functions, but also can update the software, achieve content without ...

Our definition of cloud computing is based on five features: multiple leases (sharing resources), massive scalability, resilience, Pay-as-you-go, and provisioning of resources. 　　Multiple leases (resource sharing) the previous computing model assumes that there is a specific resource (for example, a single user or proprietary computing facility for the owner), cloud computing, unlike this, is based on the business model of sharing resources, such as multiple users using the same resources, at the network level, at the host level, and at the application level. There may already be hundreds of thousands of systems available for large-scale scalability, and cloud computing can be extended to tens of thousands of departments ...

At present the public cloud market price war smoke again, Google will cloud servers, cloud storage and database services prices cut 32%, 68% and 82% respectively; Amazon responded, the average price of storage services down 51%,EC2 calculation Services reduced by 38%, large data Services price reduction of 27% to 61%; Microsoft Azure has also been quick to follow, with cloud service prices down 27% to 35% and storage prices down 44% to 65%. The price of a memory-intensive Linux instance is reduced by 35%, while the price of Windows instances is reduced by 27%. Block journal storage Price ...

According to an authoritative market research and Analysis Agency survey, the Baas market will reach $7.7 billion by 2017. In the Baas "speed hormone" stimulation, its adoption rate rises rapidly. Y combinator hatching Project Parse's quietly popular also confirms this, now has been the Facebook revenue bag. 　　   　　It is learned that developers can use parse easily integrated in the application of pictures, file storage, geographical location and many other functions, greatly shorten the development time. For domestic developers ...

The most fashionable word in the IT world lately is cloud computing, and many people think that cloud computing is hype and that many people are wondering what cloud computing is, but others think it is a trend for the future. 　　So what is my point of view? To write "Cloud computing Concept Encyclopedia", of course, is a loyal supporter of cloud computing! 　　What is cloud computing? To answer this question, first of all know: In the computer, only the program and data points. Therefore, from the program and data point of view: Cloud computing is a unified deployment of the program, unified storage and by the relevant program unified management of the data!

Discussion on cloud computing and meteorological data processing Lau in the information age large data has become the main feature, in the increasingly developed network technology today, cloud computing is increasingly becoming the current and future network science and technology development of an important topic, become the future of computer technology development of the core direction. Cloud computing has more robust and robust performance both in terms of security and computing power.  In the meteorological department, cloud computing can provide huge data and make difficult and accurate calculations, which provides a new way of development for meteorological research. Discussion on cloud computing and meteorological data processing

Hive is a data Warehouse architecture built on Hadoop. 　　It provides: • A set of convenient tools for implementing data extraction (ETL). 　　• A mechanism for users to describe their structure to the data. 　　• Support the ability of users to query and analyze massive amounts of data stored in Hadoop. The basic feature of Hive is that it uses HDFS for data storage and uses Map/reduce framework for data manipulation. So essentially, Hive is a compiler that puts the user ...

Now cloud computing technology and industry has become a common, more and more enterprises began to develop and build their own cloud computing products and cloud Platform architecture, whether public or private cloud, as the number of cloud computing users continue to climb, many of the industry's infrastructure services closer to user needs. Cloud platform also to fight against the cloud? Those who are true or false SaaS, that is, we usually say that the software is the service provider for enterprises to build the information required by all the network infrastructure and software, hardware operating platform, and responsible for all prophase ...

HBase is a column-oriented distributed database. HBase is not a relational database, and its design goal is to solve the limitation of the theory and implementation of relational database in processing massive data. The traditional relational database was designed for the trading system in the 70 's to satisfy the data consistency (ACID), and did not consider the scalability of data scale expansion, and the reliability of single point system failure. Although after many years of technical development, has produced some to the relational database patching (parallel database), however is limited by the theory and the realization about ...

The authors observed that Apache Spark recently sent some unusual events, Databricks will provide $14m USD support Spark,cloudera decided to support Spark,spark is considered a big issue in the field of large data. A good first impression the author believes that he has been dealing with Scala's API (spark using Scala) for some time, and, to tell you the truth, was very impressive at first because spark was so small and good. The basic abstraction is the projectile ...

MapReduce is a high-performance batch processing distributed computing framework for parallel analysis and processing of massive data. Compared with traditional data warehousing and analysis techniques, MapReduce is suitable for dealing with various types of data, including structured, semi-structured, and unstructured data. The data is at terabytes and PB levels, and at this level, traditional methods are often unable to process data. MapReduce divides the analysis task into two categories: a large number of parallel Map tasks and a Reduce rollup task. Map task runs in multiple suits ...

One computing center has 21 classrooms, 150 computers, and more than 40 kinds of teaching software on each computer, but only one operating environment windows. 　　Because of the general performance of computer hardware and the complexity of the software, it takes 3-5 minutes for each student to start and turn on the software-"This is a very embarrassing thing in the ' Cloud computing ' era," said Pan Zhihua, the product director of Ruijie Network Export Gateway, at the Ruijie 2014 Product Strategy conference recently. More embarrassing is, if you want to update or upgrade a software, every ...

As search engines have to deal with massive amounts of data, Google's two founders Larry Page and Sergey Brin design a file system called "Bigfiles" at the beginning of the venture, while GFS (the "Google File System") 　　This distributed file system is a continuation of "Bigfiles". Technology Overview First, introduce its architecture, GFS is divided into two types of nodes: one is the master node, which mainly stores data files related to metadata, and ...

August 3, 2013, "Sky City" in Japan hit a new 143,119 tweets per second Twitter peak record, Twitter is the average number of tweets per second (TPS) 5,700 of 25 times times. 　　It is noteworthy that, in the absence of an indication of the "flood peak", the new Twitter system platform has not been flooded with the push-text jam caused by any delay or even downtime. The performance of the old Twitter architecture compared to the new architecture just three years ago, in the 2010 World Cup, a penalty and a red ...

The Hadoop Distributed File System (HDFS) is a distributed file system running on universal hardware. HDFS provides a massive data storage solution with high tolerance and throughput. 　　HDFS has been widely used in a wide range of large online services and large storage systems, and has become a mass-storage fact standard for online service companies such as major web sites, providing reliable and efficient services to website customers over the years. With the rapid development of information system, a large amount of information needs to be stored reliably while it can be accessed quickly by a lot of users. Traditional ...

Large data is now no longer the "patent" of the It circle, from last year's gala, to just past the two sessions, can see its figure, but in fact, the Spring Festival Gala and the two sessions of the data can only be called small data, it and the real big data is still far from the difference. 　　Even so, the value generated by the data has been recognized. In terms of large data, its development can be divided into three stages, the first stage is the organization's internal data, these data are usually structured data, we generally classify these data, sorting and other operations, the same type of data for comparison, analysis, mining ...

According to foreign media reports, big data is in full swing, your thing is time to participate in the big Data "wave" in. But where do we start? For those services and providers, each choice is not simple. 　　While many of the options at first seem daunting, once you understand the company's target for big data, you will appreciate the changes that big data has brought to the business. After deciding to implement large data, you will want to decide whether to store the data in the site or in the cloud. Objectively, the purpose of implementing large data and existing resources will determine which storage ...

PaaS (Platform as a service) is a business model that provides the computing environment, development environment and other platforms as a service. Cloud computing service providers can provide users with platform-level products such as operating systems, application development environments, and services through the Web. PAAs is a pattern between IaaS and SaaS. PAAs changes the traditional application delivery model, promotes the further specialization of division of labor, decoupling the development team and the operational team, will greatly improve the efficiency of future software delivery. The following article to take a look at the foreign PAAs platform and the domestic PAAs platform ...