How to achieve low latency with 10Gbps Ethernet
Good morning! In a recent blog post we explained how to tweak a simple UDP application to maximize throughput. This time we are going to optimize our UDP application for latency. Fighting with latency is a great excuse to discuss modern features of multiqueue NICs. Some of the techniques covered here are also discussed in the scaling.txt kernel document. CC BY-SA 2.0 image by Xiaojun Deng Our expe
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02. RX. å—ä¿¡å‡¦ç† Linux ã§ã¯ï¼ˆä»–ã® OS ã‚‚ãã†ã§ã™ãŒï¼‰ã€å‰²ã‚Šè¾¼ã¿ãƒãƒ³ãƒ‰ãƒ©ã¯è»½ã„ã‚‚ã®ã«ã—ã¦ãŠãã€æ™‚é–“ã®ã‹ã‹ã‚‹å‡¦ç†ã¯å‰²ã‚Šè¾¼ã¿ãƒãƒ³ãƒ‰ãƒ©å¾©å¸°å¾Œï¼ˆå‰²ã‚Šè¾¼ã¿è¨±å¯å¾Œï¼‰ã«è¡Œã„ã¾ã™ã€‚ã“ã®é…延処ç†ã¯ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢å‰²ã‚Šè¾¼ã¿ï¼ˆãƒœãƒˆãƒ ãƒãƒ¼ãƒ•ã¨ã‚‚言ã†ï¼‰ã¨å‘¼ã°ã‚Œã€ã‚¿ã‚¤ãƒžãƒ¼ã€ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã®é€å—ä¿¡ã€tasklet ãªã©ãŒåˆ©ç”¨ã—ã¦ã„ã¾ã™ã€‚ （ソフトウェア割り込ã¿ã¨è¨€ã£ã¦ã‚‚ã€x86 ãŒã‚·ã‚¹ãƒ†ãƒ コールã§åˆ©ç”¨ã™ã‚‹ int 0x80 ã®ã‚ˆã†ãª CPU ã®ãƒˆãƒ©ãƒƒãƒ—機能ã§ã¯ãªãã€å‰²ã‚Šè¾¼ã¿ã‚³ãƒ³ãƒ†ã‚スト上ã§ã€å‰²ã‚Šè¾¼ã¿è¨±å¯å¾Œã«å®Ÿè¡Œã•ã‚Œã‚‹ã‚³ãƒ¼ãƒ«ãƒãƒƒã‚¯é–¢æ•°ç¾¤ã§ã™ï¼‰ Linux ã® LAN ドライãƒã¯ã€å‰²ã‚Šè¾¼ã¿ãƒãƒ³ãƒ‰ãƒ©ã§ã¯ã“ã®ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢å‰²ã‚Šè¾¼ã¿ï¼ˆNET_RX_SOFTIRQ）を起動ã™ã‚‹ã®ã¿ã«ã¨ã©ã‚ã€LAN コントãƒãƒ¼ãƒ©ã‹ã‚‰ã®ãƒ‡ãƒ¼ã‚¿å—ä¿¡ã‚„å„種プãƒãƒˆã‚³ãƒ«å‡¦ç†ã¯ NET_RX_SOFTIRQ 上ã§è¡Œã†ã‚ˆã†ã«ãªã£ã¦ã„ã¾ã™ï¼ˆNAPI）。 以
10GbE時代ã®ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯I/O高速化
10GbEã€40GbEãªã©ã®æ¥µã‚ã¦é«˜é€Ÿãªé€šä¿¡ã‚’サãƒãƒ¼ãƒˆã™ã‚‹NICãŒã€PCサーãƒã®é ˜åŸŸã§ã‚‚使ã‚れるよã†ã«ãªã£ã¦ãã¦ã„る。 ã“ã®ã‚ˆã†ãªé€Ÿåº¦ã®é€šä¿¡ã‚’ソフトウェア（OS）ã§å‡¦ç†ã—高ã„性能を得るã«ã¯æ§˜ã€…ãªéšœå®³ãŒã‚ã‚Šã€ãƒãƒ¼ãƒ‰ã‚¦ã‚§ã‚¢ãƒ»ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ä¸¡é¢ã®å®Ÿè£…を見直ã™å¿…è¦ãŒã‚る。 本セッションã§ã¯ã€ãƒãƒ¼ãƒ‰ã‚¦ã‚§ã‚¢ãƒ»ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ä¸¡é¢ã«ã©ã®ã‚ˆã†ãªæ”¹è‰¯ãŒè¡Œã‚ã‚Œã¦ãã¦ãŠã‚Šã€æ€§èƒ½ã‚’引ã出ã™ã«ã¯ã©ã®ã‚ˆã†ã«ã“れらを使用ã—ãŸã‚‰ã‚ˆã„ã®ã‹ã«ã¤ã„ã¦ç´¹ä»‹ã™ã‚‹ã€‚Read less
Linux Kernel Documentation :: networking : scaling.txt
Based on kernel version 4.16.1. Page generated on 2018-04-09 11:53 EST. 1 Scaling in the Linux Networking Stack 2 3 4 Introduction 5 ============ 6 7 This document describes a set of complementary techniques in the Linux 8 networking stack to increase parallelism and improve performance for 9 multi-processor systems. 10 11 The following technologies are described: 12 13 RSS: Receive Side Scaling 1
Intel 82599 10GbE Controllerã§éŠã¼ã†
6. Spec • PCIe 2.0 x8 • 15.5KB Jumbo frames • 128 Tx / 128 Rx Queues • Rx Queue Assignment • RSS • Flow Director • L2, L3, L4 Filters • SYN Packet Filters • Virtualization Support(SR-IOV,VMDq) • VLAN, FCoE Support • Direct Cache Access • etc, etc... 7. • Disabling RSS on the fly is not allowed, and the 82599 must be reset after RSS is disabled. • When RSS is disabled, packets are assigned an RSS o
Re: CentOS5ã§ã‚‚RPS/RFSã§NICãŒæ—る話 - ã¾ã„ã‚“ã ーã®ã¯ã¦ãªãƒ–ãƒã‚°
id:studio-m (nekoyaã•ã‚“)ã«blogエントリã§å…ˆã‚’越ã•ã‚ŒãŸã‘ã©è‡ªåˆ†ã¯ã¡ã‚‡ã£ã¨ä½¿ã„所ã¨äº‹æƒ…ãŒç•°ãªã£ã¦ã„ãã†ã ã£ãŸã®ã§ãれを書ã„ã¦ãŠããŸã!! 0. RPS/RFS ã®åˆ©ç”¨ CentOS5 ç³»ã§ã®ã‚„り方㯠nekoyaã•ã‚“ã®ã‚¨ãƒ³ãƒˆãƒª を見ã¦ãã ã•ã„。 CentOS6 ç³»ã§ã®ã‚„り方㯠kazeburoã•ã‚“ã®ã‚¨ãƒ³ãƒˆãƒª を見ã¦ãã ã•ã„。 自分ã¯kernel 2.6.39ã§è©¦ã—ã¾ã—ãŸãŒå•é¡Œãªã動作ã—ã¾ã—ãŸã€‚ 1. RPS/RFSã®åˆ©ç”¨ã‚’迫られãŸèƒŒæ™¯ nekoya ã•ã‚“㯠app サーãƒã®æ‰€ã§ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯å•é¡ŒãŒèµ·ã“ã£ã¦ã„ãŸã‚ˆã†ã§ã™ãŒã€è‡ªåˆ†ã®å ´åˆ LVS 㨠outbound ã®ãƒˆãƒ©ãƒ•ã‚£ãƒƒã‚¯ã‚’ã•ã°ã„ã¦ã„ã‚‹Linuxルータã§åŽ³ã—ã„ã“ã¨ã«ãªã£ã¦ãã¦ãŠã‚Šã¾ã—ãŸã€‚ ã“ã®æ™‚発生ã™ã‚‹å…·ä½“çš„ãªç—‡çŠ¶ã¨ã—㦠LoadAverage ㌠1 ã§å¼µã‚Šä»˜ã„ã¦å¿œç”ãŒæ¥µç«¯ã«æ‚ªããªã‚‹ ã¨ã„ã†ã‚‚ã®ãŒã‚ã‚Šã¾ã™ã€‚ ã“れをã©
Network Scaling ã«ã¤ã„㦠- 教育ã¯å‚考ブãƒã‚°
Linux Kernel Documentation | Scaling in the Linux Networking Stack Google Project Hosting | NetScalingGuide Technology Intel Magazine | ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã®ãƒ‘フォーマンスã€ä¿¡é ¼æ€§ã€åŠ¹çŽ‡ã‚’高ã‚ã‚‹ インテルR I/O Acceleration Technology (PDF) Slideshare | イマドã‚ãªãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯IO ASADA Takuya æ° Slideshare | Hardware/Software for Packet Processing OHARA Hisaki æ° é©Ÿé›¨ã®ã‚«ãƒ¼ãƒãƒ«æŽ¢æ¤œéšŠï¼ˆåªä»Šé難ä¸ï½— | Receive-Side Scalingã«ã¤ã„ã¦ã®èª¿æŸ»ãƒ¡ãƒ¢ (id:syuu1228:20101219:1292725423) 驟雨ã®ã‚«
CentOS5ã§ã‚‚RPS/RFSã§NICãŒæ—る話 | Nekoya press
kazeburoã•ã‚“ãŒCentOS6.2ã§ã®äº‹ä¾‹ã‚’紹介ã•ã‚Œã¦ã„ã¾ã™ãŒã€CentOS5ç³»ã§ã‚‚kernelを上ã’ã‚Œã°RPS/RFSãŒä½¿ãˆã‚‹ã‚ˆã†ã«ãªã£ã¦ã€NICã®è² è·çŠ¶æ³ãŒåŠ‡çš„ã«æ”¹å–„ã—ã¾ã™ã€‚ ã‚„ã‚Šæ–¹ã¯æ„外ã«ç°¡å˜ã§ã€ELRepoã‹ã‚‰kernel-ml-2.6.35-14.2.el5.elrepo.x86_64.rpmã‚’è½ã¨ã—ã¦ãã¦ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã€‚ ã‚ã¨ã¯ã€/boot/grub/menu.lstã®è¨å®šã‚’default=0ã«ã—ã¦rebootã™ã‚Œã°OK。 $ uname -r 2.6.35-14.2.el5.elrepo ELRepoã¯NICã®ãƒ‰ãƒ©ã‚¤ãƒãªã‚“ã‹ã‚‚ã„ã‚ã„ã‚æä¾›ã—ã¦ãれるã—ã€å¤ã„ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã®RPMã‚’archiveã§æä¾›ã—ã¦ãã‚Œã¦éžå¸¸ã«ã„ã„ã§ã™ã（kernelã®éŽåŽ»RPMã¯ãªã„ã®ã‹ãªï¼‰ã€‚ RPS/RFSを有効ã«ã™ã‚‹è¨å®šã¯CentOS6ã¨åŒæ§˜ã§ã™ã€‚ # echo "f" > /sys/class/n
Kernel/VM Advent Calendar ４日目: Linuxã®ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚¹ã‚¿ãƒƒã‚¯ã®ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“リティã«ã¤ã„㦠- syuu1228's blog
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CentOS 6.2 㧠RPS/RFS を使ã£ã¦ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã®å‰²ã‚Šè¾¼ã¿å‡¦ç†ã‚’複数コアã«åˆ†æ•£ã—ã¦ã¿ãŸ - blog.nomadscafe.jp
以å‰(2010å¹´)ã«ã€Œã‚¢ãƒ—リケーションãŒãƒžãƒ«ãƒã‚¹ãƒ¬ãƒƒãƒ‰ã§ã‚‚マルãƒã‚³ã‚¢CPUã‚’æ´»ã‹ã›ãªã„件ã€ã¨ã„ã†ã‚¨ãƒ³ãƒˆãƒªã«ã¦CPUã®ã‚³ã‚¢ãŒå¢—ãˆã¦ã‚‚割り込ã¿å‡¦ç†ãŒåˆ†æ•£ã•ã‚Œãªã„ã®ã§ã‚¹ã‚±ãƒ¼ãƒ«ã•ã‚Œãªã„ã¨æ›¸ã„ãŸã‘ã©ã€ãã®å¾ŒLinux Kernelã«RPS/RFSãªã‚‹æ©Ÿèƒ½ãŒè¿½åŠ ã•ã‚Œã€å‰²ã‚Šè¾¼ã¿å‡¦ç†ãŒåˆ†æ•£ã§ãるよã†ã«ãªã‚Šã€CentOS 6.2 ã§ã‚‚使ãˆã‚‹ã‚‰ã—ã„ã®ã§è©¦ã—ã¦ã¿ã¾ã—ãŸã€‚ RPS/RFSã«ã¤ã„ã¦ã®ç´¹ä»‹ã¯ VIOPS06ã§ã€ŒRPS・RFSç‰æœ€æ–°Linux Kernel事例ã€ã¨é¡Œã—ã¦ãŠè©±ã—ã¦ãã¾ã—㟠http://d.hatena.ne.jp/syuu1228/20110722/1311322653 Linuxå†…æ ¸ RPS/RFSåŠŸèƒ½è¯¦ç»†æµ‹è¯•åˆ†æž http://www.igigo.net/archives/204 ãŒè©³ã—ã„。2番目ã®ã¯ã»ã¼èªã‚ãªã„ã‘ã©ã€æ€§èƒ½æ¯”較ã®ã‚°ãƒ©ãƒ•ãŒåˆ†ã‹ã‚Šã‚„ã™ã„。 今回試ã—ãŸã‚µãƒ¼ãƒã¯ã€ OS: C
RPS/RFS
The document discusses Receive Packet Steering (RPS) and Receive Flow Steering (RFS). It shows that enabling both RPS and RFS can increase packets per second (PPS) throughput by up to 35% compared to only using RPS or not using either. It analyzes the CPU load balancing performance with different configurations and explains how RPS and RFS work at the hardware and software levels to distribute net
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VIOPS06ã§ã€ŒRPS・RFSç‰æœ€æ–°Linux Kernel事例ã€ã¨é¡Œã—ã¦ãŠè©±ã—ã¦ãã¾ã—㟠- syuu1228's blog
ã¯ã˜ã‚㫠第一回カーãƒãƒ«ï¼VMæŽ¢æ¤œéšŠï¼ é–¢è¥¿ã€ç¬¬äºŒå›žæ—¥æœ¬Vyattaユーザ会ミーティングã§è¡Œã£ãŸç™ºè¡¨ã®ãƒ€ã‚¤ã‚¸ã‚§ã‚¹ãƒˆç‰ˆã§ã™ã€‚ 詳ã—ã知りãŸã„人ã¯ã“ã¡ã‚‰ã®å†…容ã§ã¯ãªãã€ç¬¬äºŒå›žæ—¥æœ¬Vyattaユーザ会ミーティングã®å‹•ç”»ã€è³‡æ–™ã‚’ã¿ã‚‹äº‹ã‚’ãŠå‹§ã‚ã—ã¾ã™ã€‚ ã‚ã¨ã€æœ€æ–°ã£ã¦æ›¸ã„ã¦ã‚ã‚‹ã‘ã©å‰²ã¨å¤ã„話題ã§ã™ã€‚ã™ã‚“ã¾ã›ã‚“。 発表資料 従æ¥åž‹ã®NICã¨ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚¹ã‚¿ãƒƒã‚¯ã®çµ„ã¿åˆã‚ã›ã§ã¯ã€ãƒžãƒ«ãƒã‚³ã‚¢ç’°å¢ƒã«ãŠã„ã¦ã‚‚１ã¤ã®NICã®å—信処ç†ã¯ï¼‘ã¤ã®CPUã§ã—ã‹è¡Œãˆã¾ã›ã‚“。 ã“ã‚Œã¯ã€NIC上ã«å—ä¿¡ã®ã‚ューã¨å—信を通知ã™ã‚‹å‰²ã‚Šè¾¼ã¿ãŒï¼‘ã¤ã—ã‹å˜åœ¨ã›ãšã€ãƒãƒ¼ãƒ‰ã‚¦ã‚§ã‚¢ã‹ã‚‰ãƒ‡ãƒã‚¤ã‚¹ãƒ‰ãƒ©ã‚¤ãƒã¾ã§ã®ãƒ¬ã‚¤ãƒ¤ãƒ¼ã§ã¯å—信処ç†ã‚’並列ã«è¡Œã†äº‹ãŒæœ¬è³ªçš„ã«å‡ºæ¥ãªã„事ãŒåŽŸå› ã§ã—ãŸã€‚ ã“ã‚ŒãŒåŽŸå› ã§ã€é€šä¿¡é‡ãŒå¤šã„時ã«ãƒ‘ケット処ç†ã®è² è·ãŒç‰¹å®šã®CPUã¸åã£ã¦ã—ã¾ã„ã€CPU数を増やã—ã¦ã‚‚性能ãŒã‚¹ã‚±ãƒ¼ãƒ«ã—ãªã„ã¨ã„ã†å•é¡ŒãŒç™ºç”Ÿã—ã¾ã™ã€‚ ã“ã®å•é¡Œã‚’解決ã™ã‚‹ç‚ºã«ã€ï¼‘ã¤
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