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High performance and economy: aoteng persistent memory helps mobile cloud cope with severe memory challenges
2022-07-19 04:11:00 【Intel edge computing community】


Today, with the rapid development of digital innovation , The demand for accelerated processing and analysis of massive data surges , With high performance 、 Characterized by low delay Redis And other memory databases have been widely used in various industries .
Redis As a memory type NoSQL database , It mainly provides online storage and key value storage services . It supports a variety of cache architectures , Elastic expansion 、 Data persistence 、 Disaster recovery switch 、 Monitoring alarm and other functions , It can meet the business needs of high read-write performance and fast data access , You can use it as soon as you have it 、 Flexible change 、 Convenient operation and maintenance 、 High availability 、 Multiple advantages such as data security .
While optimizing enterprise services ,Redis It is also facing the cost and other problems brought by the construction of large capacity memory . Face the challenge , China Mobile Mobile cloud adopts Intel Haughty Persistent memory expansion Redis Memory capacity of the node . It has been tested and verified that , This scheme can meet Redis The actual business needs performance at the same time , Significantly reduce the Redis Expansion cost of system memory . meanwhile Redis The reduction of the size of the system server nodes will also help the cloud data center achieve the goal of green energy conservation .
Intel Haughty Persistent memory
Optimize Redis Memory usage
comprehensive DRAM The high cost pressure of memory and Redis Sensitivity to memory capacity , In the application , The performance is slightly lower 、 But memory media with high cost advantages , It is more helpful to solve Redis The cost of the system . Intel Haughty Persistent memory is such an innovative memory solution . Its performance is between DRAM Between memory and SSD , But compared with DRAM Memory has more advantages .

Intel Haughty Persistent memory
Intel Haughty Persistent memory provides convergence speed 、 High cost performance 、 The large capacity 、 Persistent data protection 、 Advanced encryption and other advantages in one memory options , Memory mode can be supported separately (Memory Mode) and App Direct Pattern .
In memory mode , Intel Haughty Persistent memory can be used as a cost-effective DRAM succedaneum . For applications , It can be used as volatile memory . And use only DRAM Compared with , Equipped with Intel Haughty Systems with persistent memory allow the use of larger amounts of memory , More cost effective . But in this mode, data cannot be persisted , in other words , When the system power is off , Data will be lost .
stay App Direct In mode , There are two kinds of memory available for applications and operating systems . The system will decide whether to start from DRAM Or Intel Haughty Write or read data from persistent memory . In the first mock exam , Even if the system is powered off , The data also remains in memory .
Intel + Mobile cloud
Achieve high performance 、 Economical Redis programme
Mobile cloud successfully integrated Intel Haughty Persistent memory is introduced into Redis In the system , On the premise of similar performance , The following benefits have been obtained :
Lower unit performance cost
Larger memory capacity per node
Benefit from data persistence
Green energy saving
Enable more business scenarios
Show your pride
By deploying Intel based Haughty Mobile cloud database with persistent memory Redis, Users can increase the resource density at a lower cost , High concurrency 、 Low latency and other scenarios require memory databases , Lay a solid foundation for digital innovation of enterprises .
Scan the QR code below now or click the link to read the original text , Download the full version for free 《 Intel Haughty Persistent memory helps the mobile cloud cope with severe memory capacity challenges Provide high performance 、 Economical mobile cloud database Redis service 》 white paper !


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