Two paths of laxcus and Hadoop in the big era

laxcus 2021-04-16 16:50:52
paths laxcus hadoop big era


Once a big data star product Hadoop It's been going from bad to worse these years , Recently, he has been hit hard by a hammer , It's not someone else , It's its owner Apache Software foundation . from 4 month 1 The date of ,Apache The software foundation announced that it will 19 Open source projects on the shelf , among 13 One project is about big data ,13 Of the projects , Yes 10 A to belong to Hadoop ecosystem .

Hadoop To this day , And its original design development ideas , The lack of product planning has a lot to do with .

Hadoop As a sub project of a search project , Developers are influenced by Google File System (GFS) The inspiration of the paper , use Java A copy of the original language , The name HDFS, Open the Hadoop The road to development . And then Google opened up again BigTable、MapReduce, Developers continue to clone them Hadoop edition . In the future, due to the increasing demand for all kinds of big data in the market ,Hadoop Start running all the way on the stacking various module frames and gluing waterway . The result is fragmentation , There are many problems in the connection and collocation of each frame module . When users need big data , First of all, we need to fully understand the different functions of these big data framework modules , How to build 、 The technology to connect and debug them , And then make a targeted application development plan for each framework module . A combination of punches , In addition to the complexity of application development, the results brought to users 、 High generation cost 、 Long project cycle and so on , The quality of the most critical products is also difficult to guarantee .

That's why Hadoop Endogenetic 、 There is no way to reconcile the problem , In recent years, within the big data industry , Go to Hadoop And the sound of it goes on and on .

 

take the reverse into consideration Laxcus Cluster operating system , Because from the beginning Hadoop Lessons learned , Take a completely different R & D approach , Insist on independent design and research , Conquer the core technology , To achieve today's results . And it's not big data in the beginning , Just treat big data as a subset of the cluster operating system . I sum up the following points , Let's feel :

1. It adopts the all-in-one design from the top to the bottom , Complete the full scene coverage .

2. from 0 Start , From the bottom to the top , Independent of third party software .

3. Support all chips in the industry , Especially in China CPU: Godson 、 Shenwei 、 Feiteng chip , It has formed a trend of two-way complementarity , As a result, it can evade the sanctions recently launched by the United States .

4. At the application level ,Laxcus Integrated database 、 database 、 Artificial intelligence 、 virtualization 、 security management 、 Application container 、 Distributed applications , Meet all the needs of users . With the paper PPT Different projects ,Laxcus We have realized the one-stop processing in fact .

5. Get through the cloud 、 Border 、 Application service of terminal , Achieve seamless docking of three bodies .

6. Combined with the latest technology , Especially quantum cryptography and 5G technology , Form efficient 、 Safe national industrial and chemical application ecosystem .

7. Lightweight and even codeless application development , Help users build various distributed application software and application business easily and quickly .

8. Perfect ecological and service blessing . From hardware to software , Service users , Make users satisfied .

Or in a popular way ,Laxcus Cluster operating system meets all the needs of users and developers .

 

For these reasons ,Laxcus Cluster operating system has been developing rapidly in China in recent years , Has been and Hadoop Make a sharp contrast .

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