Sangfor aStor - High Performance and Low TCO Unified Storage Solution

Sangfor aStor uses software-defined technology to consolidate various storage resources (block, file, and object storage) into a unified resource pool for elastic expansion and on-demand allocation. It adopts a fully symmetrical distributed architecture, enabling flexible allocation of different storage resources—from high-performance to low-cost, large-capacity storage resources—to meet the specific needs of different services.

Available as a software and hardware-integrated solution or as a standalone software model, Sangfor aStor offers flexibility to accommodate various IT environments. It is scalable from just three commodity x86 server hardware nodes, making it a practical choice for businesses looking to efficiently manage their storage needs while maintaining the ability to scale and adapt to future demands.

Sangfor aStor Introduction

Software Defined Storage System Architecture

 

Software Defined Storage System Architecture

Sangfor aStor Value Proposition

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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.

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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.

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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.

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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.

Advantages of aStor Unified Storage

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.