Self-adaptive IO (Input Output) scheduling method of multi-control storage system

Abstract

The invention provides a self-adaptive I / O (Input / Output) scheduling method of a multi-control storage system. The self-adaptive I / O scheduling method of the multi-control storage system has the advantages of being capable of achieving load balance of a multiple controller architecture and among controllers; avoiding risk and performance choke points caused by single controller failure; supporting a plurality of host connecting interfaces; supporting an ISCSI (Internet Small Computer System Interface), an FC (Fibre Channel), an InfiniBand and 10 gigabit network connection; being capable of providing high bandwidth IB (InfiniBand) and the 10 gigabit network connection for users at the same time; and meeting the differentiation requirements of customers for high bandwidth and high performance. The invention relates to I / O scheduling of the multi-control storage system and provides the I / O scheduling method among multiple controllers. When the multi-control storage system accepts an I / O request from an application layer, the self-adaptive I / O scheduling method of the multi-control storage system can be utilized to schedule the I / O request to the multiple controllers to perform simultaneous concurrent execution, not only allocates unallocated I / O requests to low load controllers, but also reschedules I / O requests to lower load controllers from overload controllers, so that the load state of every controller in a system is improved, I / O load scheduling and balance on multi-control nodes are achieved, potentials of equipment are fully scheduled, and the performance of the system is improved.

Description

technical field [0001] The invention relates to the technical field of computer applications, in particular to an adaptive IO scheduling method for a multi-control storage system. Background technique [0002] With the development of informatization and the rapid growth of data scale, the existing dual-channel disk arrays can no longer meet the needs of existing big data, and multi-controller disk arrays have emerged as the times require. The disk scheduling algorithm is a key factor affecting system performance. The traditional scheduling is a centralized scheduling implemented by a single-controller IO system, and there is no coordinated scheduling among multiple controllers. It serves as a shared resource to provide different services to the outside world. For complex multi-controller storage systems, including multiple controllers, each controller only optimizes scheduling from its own perspective, without considering the existence of other links. Therefore, how to make ...

AI Technical Summary

Problems solved by technology

[0002] With the development of informatization and the rapid growth of data scale, the existing dual-channel disk arrays can no longer meet the needs of existing big data, and multi-controller disk arrays have emerged as the times require.

The disk scheduling algorithm is a key factor affecting system performance. The traditional scheduling is a centralized scheduling implemented by a single-controller IO system, and there is no coordinated scheduling between multiple controllers. It serves as a shared resource to provide different services to the outside world.

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