A method for global buffer management of the cluster storage system

Abstract

This invention discloses one method for total buffer management of integration memory system, which adds total buffer abstract layer in local memory layer to form the total buffer management method with each memory point coordination and high accuracy, wherein, it measures each memory point local buffer data block local intensity and setting each evaluation data local intensity base and measures each memory point local buffer utility rate and provides accurate and reliable base for data block transfer decision.

Description

technical field [0001] The invention relates to the field of network storage, in particular to a method for global cache management of a cluster storage system. Background technique [0002] Today, with the rapid development of high-speed interconnect network technology, cluster systems are emerging, which connect PCs or workstations through high-speed interconnect networks to provide platforms for various applications and high-performance computing. [0003] A similar shift is taking place in networked storage. Most storage systems consisting of disk array controllers, Fiber Channel, and tape libraries are complex and expensive. With the continuous increase of disk capacity and price reduction, the continuous improvement of network bandwidth and the increasing demand for various I / O-intensive applications, it has become an inevitable trend to build a cluster storage system through a high-speed interconnection network. The cluster storage system consists of two parts: meta...

AI Technical Summary

Problems solved by technology

Although the current cluster storage systems (such as Lustre, Panasas, PVFS, etc.) have improved the overall I / O performance of the system through parallel access, the data access efficiency has not been improved. The reason is that each storage node independently manages its own Local cache, disk access is started when the local cache misses, without utilizing the local cache of other storage nodes

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