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Maglev Hashing Scheduler
in IPVS, Linux Kernel
Inju Song
Software Engineer,
Container Platform Team NAVER
CONTENTS
Load balancing
problems in
Container Cluster
Maglev
Consistent
Hashing
IPVS Maglev
Hashing
Scheduler
Build A Efficient and
Reliable Load
Balancer
Q & A
Load balancing Containers
Internet
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4 Load Balancing
Container Host Container Host Container Host Container Host
Container Cluster
There are many containers...
Load balancing Problems in
Container Cluster
Static Routing
L4-LB L4-LB L4-LB L4-LB
Container Host Container Host Container Host Container Host
Container Cluster
Added / Removed Frequently
Static Routing Problem
Container Host(Past) Container Host(Current)
L4-LB L4-LB L4-LB L4-LB
Container Cluster N
Too many containers
. . . . . .
Container Cluster 5
Container Cluster 4
Container Cluster 3
Container Cluster 2
Container Cluster 1
Guarantee Load Balancing
L4-LB
Container Host
Container Host
Container Host
Container Host
L4-LB
Internet
L4-LB
L4-LB
L4-LB
Load Balancer Down
L4-LB
L4-LB
L4-LB
L4-LB
Load Balancer Down
Container Host
Container Host
Container Host
Container Host
L4-LB
Efficient and Reliable Load Balancing
Large Traffic Load
Balancing
Large Traffic Balancing
L4-LB
Container Host
Container Host
Container Host
Container Host
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
BGP/ECMP
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
1.1.1.1
IP Advertise
Single Path
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
ECMP
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
L4-LB
Equal Cost Multi Path
Hash Based Routing
L4-LB
L4-LB
1.1.1.1
L4-LB
L4-LB
1.1.1.2
PATH= Hashing(
IP.Src,
IP.Dst,
IP.Protocol,
Port.Src,
Port.Dst )
Mod N
Efficient and Reliable Load Balancing
BGP/
ECMP
Internet
L4-LB
L4-LB
L4-LB
If a load balancer down
L4-LB
L4-LB
L4-LB
L4-LB
Hashing Disruption
192.68.0.1 Hashing(IP) % 2
Container[0]
Container[1]
192.68.0.2
192.68.0.3
192.68.0.4
Hashing(IP) % 2
Hashing(IP) % 2
Hashing(IP) % 2
Hashing Disruption
192.68.0.1 Hashing(IP) % 4
192.68.0.2
192.68.0.3
192.68.0.4
Hashing(IP) % 4
Hashing(IP) % 4
Hashing(IP) % 4
Container[0]
Container[1]
Container[2]
Container[3]
ECMP is A Good Load Balancing, but..
Not
Reliable
Not
scalable
High
Availability
Consistent Hashing for High
Availability
Consistent Hash Ring
192.68
.0.2
Container[0]
192.68
.0.3
Container[2]
192.68
.0.4
Container[0]
Container[3]
Container[2]
192.68
.0.1
Container[1]
Container[3]
Container[1]
Guarantee
to remap
K/n only
Load Balancing
192.68
.0.2
Container[0]
192.68
.0.3
Container[2]
192.68
.0.4
Container[0]
Container[3]
Container[2]
192.68
.0.1
Container[1]
Container[3]
Container[1]
Efficient
Load
Balancing
Google’s Network Load Balancer
Maglev: A Fast and Reliable Software Network Load Balancer | https://www.usenix.org/system/files/conference/nsdi16/nsdi16-paper-eisenbud.pdf
Google’s Maglev Features
Consistent Hashing
Backend Selection
Packet Processing
Packet Forwarding
Maglev: A Fast and Reliable Software Network Load Balancer | https://www.usenix.org/system/files/conference/nsdi16/nsdi16-paper-eisenbud.pdf
Permutation
B0 B1 B2
3 0 3
0 2 4
4 4 5
1 6 6
5 1 0
2 3 1
6 5 2
Maglev: A Fast and Reliable Software Network Load Balancer | https://www.usenix.org/system/files/conference/nsdi16/nsdi16-paper-eisenbud.pdf
Backend = 3
Table Size = 7
Permutate
Hashing
Permutationtable ( 3x 7 )
Preference list
of Backends
Lookup_table ( size =7,empty )
Population
Maglev: A Fast and Reliable Software Network Load Balancer | https://www.usenix.org/system/files/conference/nsdi16/nsdi16-paper-eisenbud.pdf
Population
Permutationtable ( 3x 7 )
B1 B0 B1 B0 B2 B2 B0
Lookup_table ( size =7 )
B0 B1 B2
3 0 3
0 2 4
4 4 5
1 6 6
5 1 0
2 3 1
6 5 2
[0] [1] [2] [3] [4] [5] [6]
Assign backends by
preference list
Load Balancing
Maglev: A Fast and Reliable Software Network Load Balancer | https://www.usenix.org/system/files/conference/nsdi16/nsdi16-paper-eisenbud.pdf
B1 B0 B1 B0 B2 B2 B0
each backend will receive an
almost equal numberof
connections.
[0] [1] [2] [3] [4] [5] [6]
L4-LB
L4-LB
B0 =3 * connection
B1 =2 * connection
B2 =2 * connection
Minimal disruption
Maglev: A Fast and Reliable Software Network Load Balancer | https://www.usenix.org/system/files/conference/nsdi16/nsdi16-paper-eisenbud.pdf
Population
Permutationtable ( 2x 7 )
B0 B2
3 3
0 4
4 5
1 6
5 0
2 1
6 2
Assign backends by
preference list
Before
B1
B0
B1
B0
B2
B2
B2
B1 is
Removed
Re-Permutate
Hashing
Lookup_table ( size =7 )
After
B1	->	B0
B0
B1	->	B0
B0
B2
B2
B2
Same Value By
hashing
Lookup_table ( size =7 )
Hard to implement Google’s Maglev
Maglev: A Fast and Reliable Software Network Load Balancer | https://www.usenix.org/system/files/conference/nsdi16/nsdi16-paper-eisenbud.pdf
Backend SelectionPacket ProcessingPacket Forwarding
IPVS Maglev Hashing
Scheduler
Internet
L4-LB
L4-LB
L4-LB
L4-LB
Network Software L4 Load Balancer
Using Netfilter in Linux Kernel
Nftables – Wikipedia| https://en.wikipedia.org/wiki/Nftables
Replace Maglev With IPVS
Consistent Hashing
Backend Selection:
FUNCTION
Packet Processing:
NETFILTER
Packet Forwarding:
NAT, DR, IP Tunneling
Pluggable Scheduler Module
Weighted
Round Robin
Round Robin
Source Hashing
least
connection
Module Compile
Makefile
Maglev Hashing
Scheduling
Module
Maglev Scheduling Module
Maglev Hashing
Scheduling
Round Robin
Source Hashing
least
connection
Weighted
Round Robin
Maglev Hashing Table Size
Maglev: A Fast and Reliable Software Network Load Balancer | https://www.usenix.org/system/files/conference/nsdi16/nsdi16-paper-eisenbud.pdf
...
Lookup_table Size=251
...
Lookup_table Size=131071
Disruption % VS Memory usage
Optimize your Memory Usage
Kernel Configuration
-> Networking support -> Networking options -> Netfilter -> IPVS -> Maglev hashing table size
IPVS MaglevHashing SchedulerKConfig | https://github.com/torvalds/linux/blob/master/net/netfilter/ipvs/Kconfig#L290
L4-LB
L4-LB
L4-LB
L4-LB
Canary Release Strategy
New Service
Old Service
5%
95%
Weight Based Balancing
Container Host
Container Host
Container Host
Container Host
L4-LB
W: 10
W: 40
W: 80
Destination Fallback
Container Host
Container Host
Container Host
Container Host
L4-LB
W: 10
W: 40 -> 0
W: 80
5-Tuples Hash
192.68.0.2
IPVS
IPVS MH
IPVS
IPVS MH
IPVS
IPVS MH
Container[0]
Container[1]
Container[2]
Container[3]
IPVS MH is no need to track connection table
for forwarding packets to same destination.
High Availability
Internet
L4-LB
L4-LB
L4-LB
A load balancer down
L4-LB
L4-LB
L4-LB
L4-LB
ECMP Hashing Disruption
L4-LB
L4-LB
1.1.1.2
L4-LB
L4-LB
1.1.1.3
PATH= Hashing()
Mod ( N - 1 )
L4-LB
L4-LB
1.1.1.4
L4-LB
L4-LB
1.1.1.1
TCP Connection Loss
192.68.0.2
Container[0]
Container[1]
Container[2]
Container[3]
L4-LB
1. Connection
Established With
Container[2]
2. A Load
Balancer Down
3. ECMP Disruption.
Forward packet
another l4
4. Container[0] has no
idea about connection
with container[2]
5. Container[0] Send RST.
Connection Closed
TCP Connection Loss 2
192.68.0.3
Container[0]
Container[1]
Container[2]
Container[3]
L4-LB
L4-LB
1. Connection
Established With
Container[3]
2. A Load
Balancer Down
3. ECMP Disruption.
Forward packet
another l4 although
the serving LB is
alive. 4. Container[1] has no
idea about connection
with container[3]
5. Container[1] Send RST.
Connection Closed
L4-LB
Internet
L4-LB
L4-LB
L4-LB
High Availability
L4-LB
L4-LB
L4-LB
L4-LB
High Availability
Container Host
Container Host
Container Host
Container Host
L4-LB
Build A Efficient and
Reliable Load Balancer
Efficient and Reliable Load Balancer
IPVS MH IPVS MH IPVS MH IPVS MH IPVS MH
Add IP of containers
dynamically To IPVS
Add IP of containers
dynamically To IPVS
No Loss TCP Connection
192.68.0.2
Container[0]
Container[1]
Container[2]
Container[3]
L4-LB
IPVS
1. Connection
Established With
Container[2]
2. A Load
Balancer Down
3. ECMP Disruption.
Forward packet
another l4
4. IPVS MH can forward
the packet to same
destination by hashing.
5. Continue the
Established connection.
IPVS MH
No Loss TCP Connection 2
192.68.0.3
Container[0]
Container[1]
Container[2]
Container[3]
L4-LB
1. Connection
Established With
Container[3]
2. A Load
Balancer Down
3. ECMP Disruption.
Forward packet
another l4 although
the serving LB is
alive.
5. Continue the
Established connection.
IPVS
IPVS
IPVS MH
4. IPVS MH can forward
the packet to same
destination by hashing
With no connection info.
At least 1 Load Balancer up,
IPVS MH IPVS MH IPVS MH IPVS MH IPVS MH
Add IP of containers
dynamically To IPVS
Add IP of containers
dynamically To IPVS
Can Hash Consistently With No Connection Loss
IPVS MH IPVS MH IPVS MH IPVS MH IPVS MH
Add IP of containers
dynamically To IPVS
Add IP of containers
dynamically To IPVS
Efficient and Reliable Load Balancing
BGP/
ECMP
IPVS Maglev
Hashing
Scheduler
Required
Linux Kernel >= 4.18
See Also: https://github.com/torvalds/linux/blob/master/net/netfilter/ipvs
Choose M in Kernel menuconfig
to use IP_VS_MH
Required Kernel Parameters
echo 1 > /proc/sys/net/ipv4/vs/sloppy_tcp
See Also: https://github.com/torvalds/linux/blob/master/Documentation/networking/ipvs-sysctl.txt
echo 2 > /proc/sys/net/ipv4/vs/conn_reuse_mode
Q & A

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