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Cloud computing is a data-centric, data-intensive supercomputing. It has its own unique technology in data storage, data management, programming mode, concurrency control, and system management.
Massive distributed storage technology
In order to ensure high availability, high reliability and economy, cloud computing uses distributed storage to store data and redundant storage to ensure the reliability of stored data. A highly reliable software is unreliable and provides low cost and reliability. system. In order to meet the needs of a large number of users, data storage technology must have high throughput and high transmission rate.
The cloud computing data storage system mainly includes GoogleGFS (GoogleFileSystem) and the HadoopDistributedFileSystem of the Hadoop development team. Most IT vendors, including Yahoo and Intel's "cloud" plans, use HDFS data storage technology.
Parallel programming mode
In order to make efficient use of cloud computing resources, so that users can more easily enjoy the services brought by cloud computing, cloud computing has to ensure that the complex parallel execution and task scheduling in the background is transparent to users and programmers. Cloud computing uses MapReduce programming mode to automatically divide tasks into multiple subtasks, and realizes scheduling and allocation of tasks in large-scale computing nodes through Map and Reduce.
Data management technology
The cloud computing system processes and analyzes large data sets to provide efficient services to users. Therefore, data management technologies must be able to efficiently manage large data sets. Secondly, how to find specific data in large-scale data is also a problem that cloud computing data management technology must solve. Cloud system data management often uses a column storage data management model to ensure massive data storage and analysis performance. The most famous data management technology for cloud computing is Googe's BigTable data management technology. Colleague Hadp development team developed HBase, an open source data management module for the exhausted BigTable.
Distributed resource management technology
In a multi-node concurrent execution environment, a distributed resource management system is a key technology to ensure the correctness of the system state. The system state needs to be synchronized between multiple nodes. When a critical node fails, the service needs to be migrated. The distributed resource management technology coordinates the multi-task use of resources through the lock mechanism to ensure the consistency of data operations. Google's Ghubby is the most distributed resource management system you give.
Cloud computing platform management technology
Cloud computing resources are so large that a system can have as many as 100,000 servers and span several data centers located in different physical locations, while running hundreds of applications. How to effectively manage these servers and ensure that the system composed of these servers can provide 7*24 hours of uninterrupted service is a huge challenge. Cloud computing system management technology is the "neural network" of cloud computing. Through these technologies, a large number of servers can work together to facilitate service deployment and provisioning, quickly discover and recover system failures, and realize the assembly grinding through automated and intelligent means. The system is operational and manageable. Through its superior cloud computing management system, Google maintains the coordinated and efficient operation of millions of PC servers around the world. The cloud computing system management technology has also been regarded as the core secret of the enterprise. So far, no technical information has been released.
Green energy saving technology
Cloud computing technology reduces the procurement cost of the server, so that the operating cost brought by the power consumption becomes one of the main expenses of the cloud computing computing center. In order to further reduce the cost, the cloud computing first explores a lot of green energy-saving technologies. .
Traditional data center air conditioning cooling costs about 30% to 70% of the overall electricity bill. In order to save energy, Google's data center cooling system in Belgium does not require coolant, but takes extra outdoor air for natural cooling. According to the climatic conditions in Belgium, free cooling is not available for about 7 days a year. In the hot summer, Google can transfer the computing tasks of the data center to other data centers through the cloud management system.
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