Abstract: In traditional data exchange models,network latency and operating system scheduling may lead to disorder in data transmission and processing,resulting in significant delays and degraded storage performance.To address this issue,this study proposes a Barrier mechanism-based sequential write control method for storage systems and an enhanced M/G/1 queue model incorporating network transmission characteristics.The method ensures write operation orderliness through dedicated Barrier commands and quantifies storage processes using the improved M/G/1 queue model from queuing theory,thereby enhancing system reliability and consistency.Additionally,a data packet ordering mechanism is introduced to guarantee transmission sequence.Experimental results demonstrate that compared to conventional approaches(implemented in native Linux storage systems),the proposed method improves storage efficiency by an average of 25% under poor network conditions and up to 8% in normal network environments,while maintaining data consistency and sequential integrity.

Key words: Distributed storage, Barrier command, Sequencing methods, M/G/1 queue theory, I/O efficiency