Yunxiang Wu, F. Wang, Yu Hua, D. Feng, Yuchong Hu, Jingning Liu, Wei Tong
{"title":"Fast FCoE: An Efficient and Scale-Up Multi-core Framework for FCoE-Based SAN Storage Systems","authors":"Yunxiang Wu, F. Wang, Yu Hua, D. Feng, Yuchong Hu, Jingning Liu, Wei Tong","doi":"10.1109/ICPP.2015.42","DOIUrl":null,"url":null,"abstract":"Due to the high complexity in software hierarchy and the shared queue & lock mechanism for synchronized access, existing I/O stack for remote target access in FCoE-based SAN storage becomes a performance bottleneck, thus leading to a high I/O overhead and limited I/O scalability in multi-core servers. For scalable performance, existing works focus on improving the efficiency of lock algorithm or reducing the number of synchronization points to decrease the synchronization overhead. However, the synchronization problem still exists and leads to a limited I/O scalability. In this paper, we propose Fast FCoE, a protocol stack framework for remote storage access in FCoE based SAN storage. Fast FCoE uses private per-CPU structures and disables the kernel preemption to process I/Os. This method avoids the synchronization overhead. For further I/O efficiency, Fast FCoE directly maps the requests from the block-layer to the FCoE frames. A salient feature of Fast FCoE is using the standard interfaces, thus supporting all upper softwares (such as existing file systems and applications) and offering flexible use in existing infrastructure (e.g., Adaptors, switches, storage devices). Our results demonstrate that Fast FCoE achieves efficient and scalable I/O throughput, obtaining 1107.3K/831.3K IOPS (5.43/4.88 times as much as Open-FCoE stack) for read/write requests.","PeriodicalId":423007,"journal":{"name":"2015 44th International Conference on Parallel Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 44th International Conference on Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP.2015.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Due to the high complexity in software hierarchy and the shared queue & lock mechanism for synchronized access, existing I/O stack for remote target access in FCoE-based SAN storage becomes a performance bottleneck, thus leading to a high I/O overhead and limited I/O scalability in multi-core servers. For scalable performance, existing works focus on improving the efficiency of lock algorithm or reducing the number of synchronization points to decrease the synchronization overhead. However, the synchronization problem still exists and leads to a limited I/O scalability. In this paper, we propose Fast FCoE, a protocol stack framework for remote storage access in FCoE based SAN storage. Fast FCoE uses private per-CPU structures and disables the kernel preemption to process I/Os. This method avoids the synchronization overhead. For further I/O efficiency, Fast FCoE directly maps the requests from the block-layer to the FCoE frames. A salient feature of Fast FCoE is using the standard interfaces, thus supporting all upper softwares (such as existing file systems and applications) and offering flexible use in existing infrastructure (e.g., Adaptors, switches, storage devices). Our results demonstrate that Fast FCoE achieves efficient and scalable I/O throughput, obtaining 1107.3K/831.3K IOPS (5.43/4.88 times as much as Open-FCoE stack) for read/write requests.