SlideShare une entreprise Scribd logo
1  sur  42
Télécharger pour lire hors ligne
Network Stack in 
Userspace (NUSE) 
! 
Hajime Tazaki 
Ryo Nakamura 
(University of Tokyo) 
! 
New Directions in Operating Systems 
London, 2014
Motivation 
Implementation of the Internet 
is not finished yet 
! 
! 
Faster evolution of OSes (network 
stack) 
OS personalization 
2
I have a new Layer-3/4 
protocol! Yay! 
I have new, great Layer-3/4 protocol ! It 
will change the WORLD ! 
Replace network stack ? 
No: destroy my life ?! 
(experimental ? not tested ?) 
Yes: I wanna be your slave. 
Slow evolution of network stack ? 
VM on personal device ? 
3
Virtual Machine ? 
Poll: “When you download and run software, how often do you use a virtual machine (to reduce 
security risks)?” 
Jon Howell, Galen Hunt, David Molnar, and Donald E. Porter, Living Dangerously: A Survey of Software Download 
Practices, no. MSR-TR-2010-51, May 2010 
4
costin.raiciu@cs.pub.ro, j.araujo@ucl.ac.uk, rizzo@iet.unipi.it 
Internet paths 
that it is still 
despite the 
the blame 
extensions taking 
placed on end 
moving protocols 
deployment 
optimizations. 
support for user-level 
commodity 
number of 
host stack, 
s. 
our mux/de-mux 
line rate (up 
Slow evolution of network stack 
Honda et al., Rekindling Network Protocol Innovation with User-Level Stacks, ACM 
SIGCOMM CCR, Vol.44, Num. 2, April 2014 
cores, and 
over a basic 
same server 
1.00 
0.75 
0.50 
0.25 
0.00 
2007 2008 2009 2010 2011 2012 
Date 
Ratio of flows 
Option 
SACK 
Timestamp 
Windowscale 
Direction 
Inbound 
Outbound 
Figure 1: TCP options deployment over time. 
pen infrequently not only because of slow release cycles, but 
also due to their cost and potential disruption to existing 
setups. If protocol stacks were embedded into applications, 
they could be updated on a case-by-case basis, and deploy-ment 
would be a lot more timely. 
For example, Mac OS, Windows XP and FreeBSD still 
use a traditional Additive Increase Multiplicative Decrease 
(AIMD) algorithm for TCP congestion control, while Linux
Meanwhile in 
Filesystem world.. 
There is, 
Filesystem in Userspace 
(FUSE) 
Userspace code can host 
new filesystem (sshfs, 
GmailFS, etc) 
Performance is bad, 
but doesn’t matter 
Flexibility and 
functionality do matter 
6 
http://fuse.sourceforge.net/
Alternatives 
Container (LXC, OpenVZ, vimage) 
share kernel with host operating system (no 
flexibility) 
Library OS 
full scratch: mtcp, Mirage, lwIP 
Porting: OSv, Sandstorm, libuinet (FreeBSD), 
Arrakis (lwIP), OpenOnload (lwIP?) 
Glue-layer: LKL (Linux-2.6), rumpkernel (NetBSD) 
7
Network Stack 
in Userspace
What’s NUSE ? 
Network stack in Userspace 
A library operating system 
Library version of network 
stack (of monolithic kernel) 
Linux (latest), FreeBSD (plan) 
(UNIX) Process-based 
virtualization 
9 
nuse example 
kernel bypassed 
TCP/IP 
ARP/ 
ndisc 
libnuse 
glibc 
NIC 
userspace 
kernel 
raw sock 
netmap 
DPDK (etc)
Why NUSE ? 
minimized porting effort 
Linux (net-next) changes frequently 
! 
full functional network stack for 
netmap 
DPDK 
(any kernel-bypass technology) 
10
How it works 
Application 
POSIX glue 
TCP UDP DCCP SCTP 
ICMP ARP 
IPv6 IPv4 
Qdisc 
Netfilter Bridging 
Netlink 
IPSec Tunneling 
Kernel layer 
NUSE core 
bottom halves/ 
rcu/timer/ 
interrupt 
struct 
net_device 
RAW DPDK netmap ... 
NIC 
petit-scheduler 
1. (monolithic) kernel 
source 
2. scheduler 
3. POSIX glue 
redirect system calls 
4. network I/O 
raw socket, DPDK, 
netmap, etc.. 
11
1) kernel build 
Application 
POSIX glue 
TCP UDP DCCP SCTP 
ICMP ARP 
IPv6 IPv4 
Qdisc 
Netfilter Bridging 
Netlink 
IPSec Tunneling 
Kernel layer 
NUSE core 
bottom halves/ 
rcu/timer/ 
interrupt 
struct 
net_device 
RAW DPDK netmap ... 
NIC 
petit-scheduler 
patch to kernel tree 
with new (hw independent) 
arch (arch/sim) 
robust to (frequent) 
mainstream changes 
12
2) scheduler 
Application 
POSIX glue 
TCP UDP DCCP SCTP 
ICMP ARP 
IPv6 IPv4 
Qdisc 
Netfilter Bridging 
Netlink 
IPSec Tunneling 
Kernel layer 
NUSE core 
bottom halves/ 
rcu/timer/ 
interrupt 
struct 
net_device 
RAW DPDK netmap ... 
NIC 
petit-scheduler 
offer alternate 
context primitives 
interrupts, timer, 
thread, bottom halves 
(tasklet, workqueue, 
waiter, etc) 
wrap with POSIX thread 
easily debuggable 
ucontext fiber for low 
overhead (not yet) 
13
3) POSIX glue code 
Application 
POSIX glue 
TCP UDP DCCP SCTP 
ICMP ARP 
IPv6 IPv4 
Qdisc 
Netfilter Bridging 
Netlink 
IPSec Tunneling 
Kernel layer 
NUSE core 
bottom halves/ 
rcu/timer/ 
interrupt 
struct 
net_device 
RAW DPDK netmap ... 
NIC 
petit-scheduler 
Hijack function calls 
socket => nuse_socket 
read => nuse_read 
apps not aware of 
LD_PRELOAD=libnuse.so .. 
14
4) network I/O 
Application 
POSIX glue 
TCP UDP DCCP SCTP 
ICMP ARP 
IPv6 IPv4 
Qdisc 
Netfilter Bridging 
Netlink 
IPSec Tunneling 
Kernel layer 
NUSE core 
bottom halves/ 
rcu/timer/ 
interrupt 
struct 
net_device 
RAW DPDK netmap ... 
NIC 
petit-scheduler 
connect NUSE to NIC 
options 
raw socket (default) 
DPDK (if available) 
netmap (if available) 
Tap 
15
Usage 
download 
git clone git://github.com/libos-nuse/net-next- 
nuse 
compile 
make library ARCH=sim (NETMAP=yes) (DPDK=yes) 
execute 
sudo NUSECONF=nuse.conf ./nuse (application) 
16
configs 
17 
# Interface definition.! 
interface eth0! 
address 192.168.0.10! 
netmask 255.255.255.0! 
macaddr 00:01:01:01:01:01! 
viftype TAP! 
! 
interface p1p1! 
address 172.16.0.1! 
netmask 255.255.255.0! 
macaddr 00:01:01:01:01:02! 
! 
# route entry definition.! 
route! 
network 0.0.0.0! 
netmask 0.0.0.0! 
gateway 192.168.0.1
(possible) use cases 
New protocol deployment 
Chrome + Linux mptcp (on NUSE) 
Process-level virtual instance 
% NUSE-linux-ovs | NUSE-freebsd-NAT | 
NUSE-router | NUSE-nginx! 
VM chaining via UNIX command line 
18
Limitation (ongoings) 
no fork(2)/exec(2) support 
no multi-processes 
no sysctl/proc 
(inefficient) thread scheduling 
19
Experiments 
1. Can we benefit with OS personalization? 
present a custom (NUSE) kernel with an 
application (OS personalization) 
2. How much overhead does NUSE add? 
Simple performance measurements 
20
Tested applications 
working 
ping, iperf, nginx (partially), sleep, 
need patches 
nc, wget, dig, host 
21
Setup: Performance 
measurement 
NUSE node Tx/Rx nodes 
CPU Xeon E5-2650v2 @ 
ping! 
flowgen 
10G 10G 
22 
2.60GHz 
(16 core) 
Xeon L3426 @ 1.87GHz 
(8 core) 
Memory 32GB 4GB 
NIC Intel X520 Intel X520 
ping! 
flowgen 
vnstat! 
(packet count) 
Tx NUSE Rx
Host Tx 
(NUSE->Receiver) 
NUSE Rx 
23 
avg max min 
dpdk! 2.610 8.000 0.156 
netmap 0.370 0.494 0.252 
raw 0.396 0.501 0.290 
tap 0.397 0.538 0.303 
500 
450 
400 
350 
300 
250 
200 
150 
100 
50 
0 
dpdk netmap raw tap 
Throughput (Mbps) 
ping (RTT) throughput 
(1024byte,UDP) 
8 
7 
6 
5 
4 
3 
2 
1 
0 
dpdk netmap raw tap 
RTT (ms)
L3 Routing 
Sender->NUSE->Receiver 
Tx NUSE Rx 
24 
avg max min 
dpdk! 11.998 27.700 0.252 
netmap 0.664 0.741 0.556 
raw 0.663 0.761 0.575 
tap 0.694 0.749 0.602 
ping (RTT) 
500 
450 
400 
350 
300 
250 
200 
150 
100 
50 
0 
netmap raw tap 
Throughput (Mbps) 
throughput 
(1024byte,UDP) 
30 
25 
20 
15 
10 
5 
0 
dpdk netmap raw tap 
RTT (ms)
Discussions 
not so bad performance 
we don’t care much about performance 
network stack is full functional 
but supplemental tools are not sufficient 
25
Network Simulator 
Integration (ns-3) 
network stack +ns-3 network simulator 
! 
Direct Code Execution (DCE) 
Established by Mathieu Lacage (2006) 
part of ns-3 project 
! 
Features 
reproducible (deterministic clock) 
controllable (simulator’s facility) 
http://www.nsnam.org/overview/projects/direct-code-execution/ 
26
27
NUSE vs DCE 
NUSE DCE 
shared 
kernel library ARCH=sim ARCH=sim 
scheduler (host) pthread simulator’s scheduler! 
28 
(deterministic) 
POSIX hijack hijack 
network I/O raw/netmap/DPDK/tap ns3:NetDevice 
execution LD_PRELOAD 
dlmopen(3)! 
single proc/multi-instances
DCE Architecture 
Application 
(ip, iptables, quagga) 
POSIX layer 
TCP UDP DCCP SCTP 
ICMP ARP 
IPv6 IPv4 
Netfilter Bridging 
struct net_device 
29 
Qdisc 
Netlink 
IPSec Tunneling 
bottom halves/rcu/ 
timer/interrupt 
Kernel layer 
Heap Stack 
memory 
Virtualization Core 
layer 
ns-3 (network simulation core) 
DCE 
ns-3 
applicati 
on 
ns-3 
TCP/IP 
stack 
3) POSIX! 
Layer 
1) Core! 
Layer 
2) Kernel! 
Layer
Bug reproducibility 
Home Agent 
AP1 AP2 
30 
Wi-Fi Wi-Fi 
handoff 
ping6 
correspondent 
node 
mobile node 
(gdb) b mip6_mh_filter if dce_debug_nodeid()==0 
Breakpoint 1 at 0x7ffff287c569: file net/ipv6/mip6.c, line 88. 
<continue> 
(gdb) bt 4 
#0 mip6_mh_filter 
(sk=0x7ffff7f69e10, skb=0x7ffff7cde8b0) 
at net/ipv6/mip6.c:109 
#1 0x00007ffff2831418 in ipv6_raw_deliver 
(skb=0x7ffff7cde8b0, nexthdr=135) 
at net/ipv6/raw.c:199 
#2 0x00007ffff2831697 in raw6_local_deliver 
(skb=0x7ffff7cde8b0, nexthdr=135) 
at net/ipv6/raw.c:232 
#3 0x00007ffff27e6068 in ip6_input_finish 
(skb=0x7ffff7cde8b0) 
at net/ipv6/ip6_input.c:197
Debugging 
==5864== Memcheck, a memory error detector 
==5864== Copyright (C) 2002-2009, and GNU GPL'd, by Julian Seward et al. 
==5864== Using Valgrind-3.6.0.SVN and LibVEX; rerun with -h for copyright info 
==5864== Command: ../build/bin/ns3test-dce-vdl --verbose 
==5864== 
==5864== Conditional jump or move depends on uninitialised value(s) 
==5864== at 0x7D5AE32: tcp_parse_options (tcp_input.c:3782) 
==5864== by 0x7D65DCB: tcp_check_req (tcp_minisocks.c:532) 
==5864== by 0x7D63B09: tcp_v4_hnd_req (tcp_ipv4.c:1496) 
==5864== by 0x7D63CB4: tcp_v4_do_rcv (tcp_ipv4.c:1576) 
==5864== by 0x7D6439C: tcp_v4_rcv (tcp_ipv4.c:1696) 
==5864== by 0x7D447CC: ip_local_deliver_finish (ip_input.c:226) 
==5864== by 0x7D442E4: ip_rcv_finish (dst.h:318) 
==5864== by 0x7D2313F: process_backlog (dev.c:3368) 
==5864== by 0x7D23455: net_rx_action (dev.c:3526) 
==5864== by 0x7CF2477: do_softirq (softirq.c:65) 
==5864== by 0x7CF2544: softirq_task_function (softirq.c:21) 
==5864== by 0x4FA2BE1: ns3::TaskManager::Trampoline(void*) (task-manager.==5864== Uninitialised value was created by a stack allocation 
==5864== at 0x7D65B30: tcp_check_req (tcp_minisocks.c:522) 
==5864== 
Memory error detection 
among distributed nodes 
in a single process 
using Valgrind 
! 
! 
31
Fine-grained parameter coverage 
Code coverage measurement with DCE 
With fine-grained network, node, protocol parameters 
32
Continuous integration 
http://ns-3-dce.cloud.wide.ad.jp/jenkins/job/daily-net-next-sim/ 
33
Summary 
NUSE (Network Stack in Userspace) 
OS personalization (fast evolution, easy 
deployment) 
DCE (Direct Code Execution) 
Flexible network experiment/test with 
deterministic clock 
34
github: https://github.com/libos-nuse/net-next- 
nuse 
DCE: http://bit.ly/ns-3-dce 
twitter: @thehajime 
35
Backups
Potentials of Userspace 
Networking 
High-performance networking 
Useful debugging facilities 
Operating system personalization 
37
1) kernel build 
build kernel source tree w/ the patch 
make menuconfig ARCH=sim 
make library ARCH=sim 
➔ libnuse-linux-3.17-rc1.so 
38
Example: How timer 
works 
39 
add_timer() 
TIMER_SOFTIRQ 
timer_list 
run_timer_softirq () 
timer handler 
timer thread 
(timer_create (2))
3) POSIX glue code 
extern int sim_sock_socket (int,int,int, struct socket **); 
int socket (int family, int type, int proto) 
{ 
sim_update_jiffies (); 
struct socket *kernel_socket = 
sim_malloc (sizeof (struct socket)); 
memset (kernel_socket, 0, sizeof (struct socket)); 
int ret = sim_sock_socket (family, type, proto, &kernel_socket); 
g_fd_table[curfd++] = kernel_socket; 
sim_softirq_wakeup (); 
return curfd - 1; 
} 
https://github.com/libos-nuse/net-next-nuse/blob/nuse/arch/sim/nuse-glue.c 
40
Tx callgraph 
sendmsg () (socket API) 
sim_sock_sendmsg () (NUSE) 
sock_sendmsg () 
ip_send_skb () 
ip_finish_output2 () 
dst_neigh_output () (ex-kernel) 
neigh_resolve_output () 
arp_solicit () 
dev_queue_xmit () 
sim_dev_xmit () (NUSE) 
nuse_vif_raw_write () 
41
Rx callgraph 
start_thread () (pthread) 
nuse_netdev_rx_trampoline () 
nuse_vif_raw_read () (NUSE) 
sim_dev_rx () 
netif_rx () (ex-kernel) 
start_thread () (pthread) 
do_softirq () (NUSE) 
net_rx_action () 
process_backlog () (ex-kernel) 
__netif_receive_skb_core () 
ip_rcv () 
42 
vNIC! 
rx 
softirq! 
rx

Contenu connexe

Tendances

Tendances (20)

OCIランタイムの筆頭「runc」を俯瞰する
OCIランタイムの筆頭「runc」を俯瞰するOCIランタイムの筆頭「runc」を俯瞰する
OCIランタイムの筆頭「runc」を俯瞰する
 
DPDK QoS
DPDK QoSDPDK QoS
DPDK QoS
 
DPDKによる高速コンテナネットワーキング
DPDKによる高速コンテナネットワーキングDPDKによる高速コンテナネットワーキング
DPDKによる高速コンテナネットワーキング
 
コンテナネットワーキング(CNI)最前線
コンテナネットワーキング(CNI)最前線コンテナネットワーキング(CNI)最前線
コンテナネットワーキング(CNI)最前線
 
FD.io VPP事始め
FD.io VPP事始めFD.io VPP事始め
FD.io VPP事始め
 
Dockerを支える技術
Dockerを支える技術Dockerを支える技術
Dockerを支える技術
 
DPDK in Containers Hands-on Lab
DPDK in Containers Hands-on LabDPDK in Containers Hands-on Lab
DPDK in Containers Hands-on Lab
 
Cfgmgmtcamp 2023 — eBPF Superpowers
Cfgmgmtcamp 2023 — eBPF SuperpowersCfgmgmtcamp 2023 — eBPF Superpowers
Cfgmgmtcamp 2023 — eBPF Superpowers
 
Lockfree Queue
Lockfree QueueLockfree Queue
Lockfree Queue
 
eBPF Basics
eBPF BasicseBPF Basics
eBPF Basics
 
Scapyで作る・解析するパケット
Scapyで作る・解析するパケットScapyで作る・解析するパケット
Scapyで作る・解析するパケット
 
KubernetesでRedisを使うときの選択肢
KubernetesでRedisを使うときの選択肢KubernetesでRedisを使うときの選択肢
KubernetesでRedisを使うときの選択肢
 
DPDK In Depth
DPDK In DepthDPDK In Depth
DPDK In Depth
 
eBPF - Rethinking the Linux Kernel
eBPF - Rethinking the Linux KerneleBPF - Rethinking the Linux Kernel
eBPF - Rethinking the Linux Kernel
 
Deep Dive into the Linux Kernel - メモリ管理におけるCompaction機能について
Deep Dive into the Linux Kernel - メモリ管理におけるCompaction機能についてDeep Dive into the Linux Kernel - メモリ管理におけるCompaction機能について
Deep Dive into the Linux Kernel - メモリ管理におけるCompaction機能について
 
Introduction to eBPF and XDP
Introduction to eBPF and XDPIntroduction to eBPF and XDP
Introduction to eBPF and XDP
 
Zebra SRv6 CLI on Linux Dataplane (ENOG#49)
Zebra SRv6 CLI on Linux Dataplane (ENOG#49)Zebra SRv6 CLI on Linux Dataplane (ENOG#49)
Zebra SRv6 CLI on Linux Dataplane (ENOG#49)
 
Kernel Recipes 2019 - XDP closer integration with network stack
Kernel Recipes 2019 -  XDP closer integration with network stackKernel Recipes 2019 -  XDP closer integration with network stack
Kernel Recipes 2019 - XDP closer integration with network stack
 
Cilium - BPF & XDP for containers
 Cilium - BPF & XDP for containers Cilium - BPF & XDP for containers
Cilium - BPF & XDP for containers
 
VPP事始め
VPP事始めVPP事始め
VPP事始め
 

Similaire à NUSE (Network Stack in Userspace) at #osio

Direct Code Execution - LinuxCon Japan 2014
Direct Code Execution - LinuxCon Japan 2014Direct Code Execution - LinuxCon Japan 2014
Direct Code Execution - LinuxCon Japan 2014
Hajime Tazaki
 
Mirage: ML kernels in the cloud (ML Workshop 2010)
Mirage: ML kernels in the cloud (ML Workshop 2010)Mirage: ML kernels in the cloud (ML Workshop 2010)
Mirage: ML kernels in the cloud (ML Workshop 2010)
Anil Madhavapeddy
 

Similaire à NUSE (Network Stack in Userspace) at #osio (20)

Direct Code Execution - LinuxCon Japan 2014
Direct Code Execution - LinuxCon Japan 2014Direct Code Execution - LinuxCon Japan 2014
Direct Code Execution - LinuxCon Japan 2014
 
Network Stack in Userspace (NUSE)
Network Stack in Userspace (NUSE)Network Stack in Userspace (NUSE)
Network Stack in Userspace (NUSE)
 
mTCP使ってみた
mTCP使ってみたmTCP使ってみた
mTCP使ってみた
 
Dpdk applications
Dpdk applicationsDpdk applications
Dpdk applications
 
LibOS as a regression test framework for Linux networking #netdev1.1
LibOS as a regression test framework for Linux networking #netdev1.1LibOS as a regression test framework for Linux networking #netdev1.1
LibOS as a regression test framework for Linux networking #netdev1.1
 
PLNOG16: Obsługa 100M pps na platformie PC , Przemysław Frasunek, Paweł Mała...
PLNOG16: Obsługa 100M pps na platformie PC, Przemysław Frasunek, Paweł Mała...PLNOG16: Obsługa 100M pps na platformie PC, Przemysław Frasunek, Paweł Mała...
PLNOG16: Obsługa 100M pps na platformie PC , Przemysław Frasunek, Paweł Mała...
 
Linux Network Stack
Linux Network StackLinux Network Stack
Linux Network Stack
 
Network Programming: Data Plane Development Kit (DPDK)
Network Programming: Data Plane Development Kit (DPDK)Network Programming: Data Plane Development Kit (DPDK)
Network Programming: Data Plane Development Kit (DPDK)
 
FD.io - The Universal Dataplane
FD.io - The Universal DataplaneFD.io - The Universal Dataplane
FD.io - The Universal Dataplane
 
Fast datastacks - fast and flexible nfv solution stacks leveraging fd.io
Fast datastacks - fast and flexible nfv solution stacks leveraging fd.ioFast datastacks - fast and flexible nfv solution stacks leveraging fd.io
Fast datastacks - fast and flexible nfv solution stacks leveraging fd.io
 
D. Fast, Simple User-Space Network Functions with Snabb (RIPE 77)
D. Fast, Simple User-Space Network Functions with Snabb (RIPE 77)D. Fast, Simple User-Space Network Functions with Snabb (RIPE 77)
D. Fast, Simple User-Space Network Functions with Snabb (RIPE 77)
 
Playing BBR with a userspace network stack
Playing BBR with a userspace network stackPlaying BBR with a userspace network stack
Playing BBR with a userspace network stack
 
Skills Summary for GASteele
Skills Summary for GASteeleSkills Summary for GASteele
Skills Summary for GASteele
 
Mirage: ML kernels in the cloud (ML Workshop 2010)
Mirage: ML kernels in the cloud (ML Workshop 2010)Mirage: ML kernels in the cloud (ML Workshop 2010)
Mirage: ML kernels in the cloud (ML Workshop 2010)
 
Install FD.IO VPP On Intel(r) Architecture & Test with Trex*
Install FD.IO VPP On Intel(r) Architecture & Test with Trex*Install FD.IO VPP On Intel(r) Architecture & Test with Trex*
Install FD.IO VPP On Intel(r) Architecture & Test with Trex*
 
100 M pps on PC.
100 M pps on PC.100 M pps on PC.
100 M pps on PC.
 
Pushing Packets - How do the ML2 Mechanism Drivers Stack Up
Pushing Packets - How do the ML2 Mechanism Drivers Stack UpPushing Packets - How do the ML2 Mechanism Drivers Stack Up
Pushing Packets - How do the ML2 Mechanism Drivers Stack Up
 
LinuxCon2009: 10Gbit/s Bi-Directional Routing on standard hardware running Linux
LinuxCon2009: 10Gbit/s Bi-Directional Routing on standard hardware running LinuxLinuxCon2009: 10Gbit/s Bi-Directional Routing on standard hardware running Linux
LinuxCon2009: 10Gbit/s Bi-Directional Routing on standard hardware running Linux
 
Seastar at Linux Foundation Collaboration Summit
Seastar at Linux Foundation Collaboration SummitSeastar at Linux Foundation Collaboration Summit
Seastar at Linux Foundation Collaboration Summit
 
XPDS13: Enabling Fast, Dynamic Network Processing with ClickOS - Joao Martins...
XPDS13: Enabling Fast, Dynamic Network Processing with ClickOS - Joao Martins...XPDS13: Enabling Fast, Dynamic Network Processing with ClickOS - Joao Martins...
XPDS13: Enabling Fast, Dynamic Network Processing with ClickOS - Joao Martins...
 

Plus de Hajime Tazaki (6)

Linux rumpkernel - ABC2018 (AsiaBSDCon 2018)
Linux rumpkernel - ABC2018 (AsiaBSDCon 2018)Linux rumpkernel - ABC2018 (AsiaBSDCon 2018)
Linux rumpkernel - ABC2018 (AsiaBSDCon 2018)
 
Network stack personality in Android phone - netdev 2.2
Network stack personality in Android phone - netdev 2.2Network stack personality in Android phone - netdev 2.2
Network stack personality in Android phone - netdev 2.2
 
Linux Kernel Library - Reusing Monolithic Kernel
Linux Kernel Library - Reusing Monolithic KernelLinux Kernel Library - Reusing Monolithic Kernel
Linux Kernel Library - Reusing Monolithic Kernel
 
IIJlab seminar - Linux Kernel Library: Reusable monolithic kernel (in Japanese)
IIJlab seminar - Linux Kernel Library: Reusable monolithic kernel (in Japanese)IIJlab seminar - Linux Kernel Library: Reusable monolithic kernel (in Japanese)
IIJlab seminar - Linux Kernel Library: Reusable monolithic kernel (in Japanese)
 
Direct Code Execution @ CoNEXT 2013
Direct Code Execution @ CoNEXT 2013Direct Code Execution @ CoNEXT 2013
Direct Code Execution @ CoNEXT 2013
 
Kernelvm 201312-dlmopen
Kernelvm 201312-dlmopenKernelvm 201312-dlmopen
Kernelvm 201312-dlmopen
 

Dernier

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 

Dernier (20)

Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 

NUSE (Network Stack in Userspace) at #osio

  • 1. Network Stack in Userspace (NUSE) ! Hajime Tazaki Ryo Nakamura (University of Tokyo) ! New Directions in Operating Systems London, 2014
  • 2. Motivation Implementation of the Internet is not finished yet ! ! Faster evolution of OSes (network stack) OS personalization 2
  • 3. I have a new Layer-3/4 protocol! Yay! I have new, great Layer-3/4 protocol ! It will change the WORLD ! Replace network stack ? No: destroy my life ?! (experimental ? not tested ?) Yes: I wanna be your slave. Slow evolution of network stack ? VM on personal device ? 3
  • 4. Virtual Machine ? Poll: “When you download and run software, how often do you use a virtual machine (to reduce security risks)?” Jon Howell, Galen Hunt, David Molnar, and Donald E. Porter, Living Dangerously: A Survey of Software Download Practices, no. MSR-TR-2010-51, May 2010 4
  • 5. costin.raiciu@cs.pub.ro, j.araujo@ucl.ac.uk, rizzo@iet.unipi.it Internet paths that it is still despite the the blame extensions taking placed on end moving protocols deployment optimizations. support for user-level commodity number of host stack, s. our mux/de-mux line rate (up Slow evolution of network stack Honda et al., Rekindling Network Protocol Innovation with User-Level Stacks, ACM SIGCOMM CCR, Vol.44, Num. 2, April 2014 cores, and over a basic same server 1.00 0.75 0.50 0.25 0.00 2007 2008 2009 2010 2011 2012 Date Ratio of flows Option SACK Timestamp Windowscale Direction Inbound Outbound Figure 1: TCP options deployment over time. pen infrequently not only because of slow release cycles, but also due to their cost and potential disruption to existing setups. If protocol stacks were embedded into applications, they could be updated on a case-by-case basis, and deploy-ment would be a lot more timely. For example, Mac OS, Windows XP and FreeBSD still use a traditional Additive Increase Multiplicative Decrease (AIMD) algorithm for TCP congestion control, while Linux
  • 6. Meanwhile in Filesystem world.. There is, Filesystem in Userspace (FUSE) Userspace code can host new filesystem (sshfs, GmailFS, etc) Performance is bad, but doesn’t matter Flexibility and functionality do matter 6 http://fuse.sourceforge.net/
  • 7. Alternatives Container (LXC, OpenVZ, vimage) share kernel with host operating system (no flexibility) Library OS full scratch: mtcp, Mirage, lwIP Porting: OSv, Sandstorm, libuinet (FreeBSD), Arrakis (lwIP), OpenOnload (lwIP?) Glue-layer: LKL (Linux-2.6), rumpkernel (NetBSD) 7
  • 8. Network Stack in Userspace
  • 9. What’s NUSE ? Network stack in Userspace A library operating system Library version of network stack (of monolithic kernel) Linux (latest), FreeBSD (plan) (UNIX) Process-based virtualization 9 nuse example kernel bypassed TCP/IP ARP/ ndisc libnuse glibc NIC userspace kernel raw sock netmap DPDK (etc)
  • 10. Why NUSE ? minimized porting effort Linux (net-next) changes frequently ! full functional network stack for netmap DPDK (any kernel-bypass technology) 10
  • 11. How it works Application POSIX glue TCP UDP DCCP SCTP ICMP ARP IPv6 IPv4 Qdisc Netfilter Bridging Netlink IPSec Tunneling Kernel layer NUSE core bottom halves/ rcu/timer/ interrupt struct net_device RAW DPDK netmap ... NIC petit-scheduler 1. (monolithic) kernel source 2. scheduler 3. POSIX glue redirect system calls 4. network I/O raw socket, DPDK, netmap, etc.. 11
  • 12. 1) kernel build Application POSIX glue TCP UDP DCCP SCTP ICMP ARP IPv6 IPv4 Qdisc Netfilter Bridging Netlink IPSec Tunneling Kernel layer NUSE core bottom halves/ rcu/timer/ interrupt struct net_device RAW DPDK netmap ... NIC petit-scheduler patch to kernel tree with new (hw independent) arch (arch/sim) robust to (frequent) mainstream changes 12
  • 13. 2) scheduler Application POSIX glue TCP UDP DCCP SCTP ICMP ARP IPv6 IPv4 Qdisc Netfilter Bridging Netlink IPSec Tunneling Kernel layer NUSE core bottom halves/ rcu/timer/ interrupt struct net_device RAW DPDK netmap ... NIC petit-scheduler offer alternate context primitives interrupts, timer, thread, bottom halves (tasklet, workqueue, waiter, etc) wrap with POSIX thread easily debuggable ucontext fiber for low overhead (not yet) 13
  • 14. 3) POSIX glue code Application POSIX glue TCP UDP DCCP SCTP ICMP ARP IPv6 IPv4 Qdisc Netfilter Bridging Netlink IPSec Tunneling Kernel layer NUSE core bottom halves/ rcu/timer/ interrupt struct net_device RAW DPDK netmap ... NIC petit-scheduler Hijack function calls socket => nuse_socket read => nuse_read apps not aware of LD_PRELOAD=libnuse.so .. 14
  • 15. 4) network I/O Application POSIX glue TCP UDP DCCP SCTP ICMP ARP IPv6 IPv4 Qdisc Netfilter Bridging Netlink IPSec Tunneling Kernel layer NUSE core bottom halves/ rcu/timer/ interrupt struct net_device RAW DPDK netmap ... NIC petit-scheduler connect NUSE to NIC options raw socket (default) DPDK (if available) netmap (if available) Tap 15
  • 16. Usage download git clone git://github.com/libos-nuse/net-next- nuse compile make library ARCH=sim (NETMAP=yes) (DPDK=yes) execute sudo NUSECONF=nuse.conf ./nuse (application) 16
  • 17. configs 17 # Interface definition.! interface eth0! address 192.168.0.10! netmask 255.255.255.0! macaddr 00:01:01:01:01:01! viftype TAP! ! interface p1p1! address 172.16.0.1! netmask 255.255.255.0! macaddr 00:01:01:01:01:02! ! # route entry definition.! route! network 0.0.0.0! netmask 0.0.0.0! gateway 192.168.0.1
  • 18. (possible) use cases New protocol deployment Chrome + Linux mptcp (on NUSE) Process-level virtual instance % NUSE-linux-ovs | NUSE-freebsd-NAT | NUSE-router | NUSE-nginx! VM chaining via UNIX command line 18
  • 19. Limitation (ongoings) no fork(2)/exec(2) support no multi-processes no sysctl/proc (inefficient) thread scheduling 19
  • 20. Experiments 1. Can we benefit with OS personalization? present a custom (NUSE) kernel with an application (OS personalization) 2. How much overhead does NUSE add? Simple performance measurements 20
  • 21. Tested applications working ping, iperf, nginx (partially), sleep, need patches nc, wget, dig, host 21
  • 22. Setup: Performance measurement NUSE node Tx/Rx nodes CPU Xeon E5-2650v2 @ ping! flowgen 10G 10G 22 2.60GHz (16 core) Xeon L3426 @ 1.87GHz (8 core) Memory 32GB 4GB NIC Intel X520 Intel X520 ping! flowgen vnstat! (packet count) Tx NUSE Rx
  • 23. Host Tx (NUSE->Receiver) NUSE Rx 23 avg max min dpdk! 2.610 8.000 0.156 netmap 0.370 0.494 0.252 raw 0.396 0.501 0.290 tap 0.397 0.538 0.303 500 450 400 350 300 250 200 150 100 50 0 dpdk netmap raw tap Throughput (Mbps) ping (RTT) throughput (1024byte,UDP) 8 7 6 5 4 3 2 1 0 dpdk netmap raw tap RTT (ms)
  • 24. L3 Routing Sender->NUSE->Receiver Tx NUSE Rx 24 avg max min dpdk! 11.998 27.700 0.252 netmap 0.664 0.741 0.556 raw 0.663 0.761 0.575 tap 0.694 0.749 0.602 ping (RTT) 500 450 400 350 300 250 200 150 100 50 0 netmap raw tap Throughput (Mbps) throughput (1024byte,UDP) 30 25 20 15 10 5 0 dpdk netmap raw tap RTT (ms)
  • 25. Discussions not so bad performance we don’t care much about performance network stack is full functional but supplemental tools are not sufficient 25
  • 26. Network Simulator Integration (ns-3) network stack +ns-3 network simulator ! Direct Code Execution (DCE) Established by Mathieu Lacage (2006) part of ns-3 project ! Features reproducible (deterministic clock) controllable (simulator’s facility) http://www.nsnam.org/overview/projects/direct-code-execution/ 26
  • 27. 27
  • 28. NUSE vs DCE NUSE DCE shared kernel library ARCH=sim ARCH=sim scheduler (host) pthread simulator’s scheduler! 28 (deterministic) POSIX hijack hijack network I/O raw/netmap/DPDK/tap ns3:NetDevice execution LD_PRELOAD dlmopen(3)! single proc/multi-instances
  • 29. DCE Architecture Application (ip, iptables, quagga) POSIX layer TCP UDP DCCP SCTP ICMP ARP IPv6 IPv4 Netfilter Bridging struct net_device 29 Qdisc Netlink IPSec Tunneling bottom halves/rcu/ timer/interrupt Kernel layer Heap Stack memory Virtualization Core layer ns-3 (network simulation core) DCE ns-3 applicati on ns-3 TCP/IP stack 3) POSIX! Layer 1) Core! Layer 2) Kernel! Layer
  • 30. Bug reproducibility Home Agent AP1 AP2 30 Wi-Fi Wi-Fi handoff ping6 correspondent node mobile node (gdb) b mip6_mh_filter if dce_debug_nodeid()==0 Breakpoint 1 at 0x7ffff287c569: file net/ipv6/mip6.c, line 88. <continue> (gdb) bt 4 #0 mip6_mh_filter (sk=0x7ffff7f69e10, skb=0x7ffff7cde8b0) at net/ipv6/mip6.c:109 #1 0x00007ffff2831418 in ipv6_raw_deliver (skb=0x7ffff7cde8b0, nexthdr=135) at net/ipv6/raw.c:199 #2 0x00007ffff2831697 in raw6_local_deliver (skb=0x7ffff7cde8b0, nexthdr=135) at net/ipv6/raw.c:232 #3 0x00007ffff27e6068 in ip6_input_finish (skb=0x7ffff7cde8b0) at net/ipv6/ip6_input.c:197
  • 31. Debugging ==5864== Memcheck, a memory error detector ==5864== Copyright (C) 2002-2009, and GNU GPL'd, by Julian Seward et al. ==5864== Using Valgrind-3.6.0.SVN and LibVEX; rerun with -h for copyright info ==5864== Command: ../build/bin/ns3test-dce-vdl --verbose ==5864== ==5864== Conditional jump or move depends on uninitialised value(s) ==5864== at 0x7D5AE32: tcp_parse_options (tcp_input.c:3782) ==5864== by 0x7D65DCB: tcp_check_req (tcp_minisocks.c:532) ==5864== by 0x7D63B09: tcp_v4_hnd_req (tcp_ipv4.c:1496) ==5864== by 0x7D63CB4: tcp_v4_do_rcv (tcp_ipv4.c:1576) ==5864== by 0x7D6439C: tcp_v4_rcv (tcp_ipv4.c:1696) ==5864== by 0x7D447CC: ip_local_deliver_finish (ip_input.c:226) ==5864== by 0x7D442E4: ip_rcv_finish (dst.h:318) ==5864== by 0x7D2313F: process_backlog (dev.c:3368) ==5864== by 0x7D23455: net_rx_action (dev.c:3526) ==5864== by 0x7CF2477: do_softirq (softirq.c:65) ==5864== by 0x7CF2544: softirq_task_function (softirq.c:21) ==5864== by 0x4FA2BE1: ns3::TaskManager::Trampoline(void*) (task-manager.==5864== Uninitialised value was created by a stack allocation ==5864== at 0x7D65B30: tcp_check_req (tcp_minisocks.c:522) ==5864== Memory error detection among distributed nodes in a single process using Valgrind ! ! 31
  • 32. Fine-grained parameter coverage Code coverage measurement with DCE With fine-grained network, node, protocol parameters 32
  • 34. Summary NUSE (Network Stack in Userspace) OS personalization (fast evolution, easy deployment) DCE (Direct Code Execution) Flexible network experiment/test with deterministic clock 34
  • 35. github: https://github.com/libos-nuse/net-next- nuse DCE: http://bit.ly/ns-3-dce twitter: @thehajime 35
  • 37. Potentials of Userspace Networking High-performance networking Useful debugging facilities Operating system personalization 37
  • 38. 1) kernel build build kernel source tree w/ the patch make menuconfig ARCH=sim make library ARCH=sim ➔ libnuse-linux-3.17-rc1.so 38
  • 39. Example: How timer works 39 add_timer() TIMER_SOFTIRQ timer_list run_timer_softirq () timer handler timer thread (timer_create (2))
  • 40. 3) POSIX glue code extern int sim_sock_socket (int,int,int, struct socket **); int socket (int family, int type, int proto) { sim_update_jiffies (); struct socket *kernel_socket = sim_malloc (sizeof (struct socket)); memset (kernel_socket, 0, sizeof (struct socket)); int ret = sim_sock_socket (family, type, proto, &kernel_socket); g_fd_table[curfd++] = kernel_socket; sim_softirq_wakeup (); return curfd - 1; } https://github.com/libos-nuse/net-next-nuse/blob/nuse/arch/sim/nuse-glue.c 40
  • 41. Tx callgraph sendmsg () (socket API) sim_sock_sendmsg () (NUSE) sock_sendmsg () ip_send_skb () ip_finish_output2 () dst_neigh_output () (ex-kernel) neigh_resolve_output () arp_solicit () dev_queue_xmit () sim_dev_xmit () (NUSE) nuse_vif_raw_write () 41
  • 42. Rx callgraph start_thread () (pthread) nuse_netdev_rx_trampoline () nuse_vif_raw_read () (NUSE) sim_dev_rx () netif_rx () (ex-kernel) start_thread () (pthread) do_softirq () (NUSE) net_rx_action () process_backlog () (ex-kernel) __netif_receive_skb_core () ip_rcv () 42 vNIC! rx softirq! rx