Sangfor aStor - High Performance and Low TCO Unified Storage Solution
aStor uses software-defined technology to consolidate storage into storage resource pool for elastic expansion and on-demand allocation. Sangfor aStor is based on the software-defined design, adopts a fully symmetrical distributed architecture, realizes the allocation of different storage resources (high-performance storage resources, low-cost large-capacity storage resources, etc.) for different services, and delivers software and hardware integrated solution or software model, supports block, file, and object storage services in one physical or virtual appliance.
Software Defined Storage System Architecture
Sangfor aStor Value Proposition
Distributed Architecture for Flexible Expansion
Software-defined storage adopts a distributed architecture, which realizes flexible expansion and on-demand expansion when the capacity or performance become insufficient. Provision on-demand without full capacity planning in advance.
Distributed Architecture Parallel Processing for High Performance
Software-defined storage supports extremely high throughput bandwidth and IOPS performance through multi-node parallel processing of data I/O. Cater both of structured and unstructured performance requirements at the same time through distributed resource allocation.
Lower Total Cost of Ownership (TCO)
aStor constructs storage resource pools through standard X86 servers and distributed storage software, achieve low TCO storage architecture by software: One platform with block storage, file and object storage services to avoid repeated investment; One-stop operation and maintenance management, one-click monitoring and one-click migration; No need to purchase software licenses again when refreshing the hardware.
Open Platform to Manage the Entire Cluster
The aStor cloud storage platform has unified management of block, file, and object storage, and supports third-party cloud management platform to realize all-in-one unified management of the cloud center.
Features & Capabilities
aStor utilizes the SSD cache layer to merge random small IOs, and change the random small IOs into large continuous IOs, thereby improving the processing performance of HDDs for random IOs by 80%.
Distributed database solves massive metadata management problems. aStor develops system with the distributed database PhxKV innovatively. Using its distributed architecture and independent algorithms, it can carry high-performance processing of hundreds of billions of metadata, and the performance jitter during processing does not exceed 5%.
aStor has an automated operation and maintenance system, through the AI intelligent storage management system, to realize the autonomy of storage management and reduce operation and maintenance costs.
Hard disks are consumable, and there will be a sub-health state for a period of time before failure, such as frequent jitter, high delay, and temperature rise. The Sangfor AI system can detect hard disks in a sub-health state 15 days in advance and remind them for replacement in time, the prediction accuracy rate can reach more than 98.5%.
Provide performance and capacity planning suggestions through data analysis, realize dynamic and reasonable resource planning, and avoid errors or waste caused by manual calculations.
Video processing and database systems have different performance requirements and experience perception. aStor can intelligently perceive the characteristics of the business, and then automatically adjust the appropriate IO path and resource allocation in the background through algorithm optimization. It can optimize performance without human intervention, for better user experience and resource utilization.
Use Cases
