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Live Migration of 5G Services between
Heterogeneous Infrastructure Domains
For more mobile, agile and resilient services
L. Pesando, A. Manzalini (TIM), F. Risso, I. Cerrato (Politecnico di Torino)
Current live migration technology
Data center A
Migrate VM image
+ memory
Data center B
VM NAT
VM NAT
We generate a large amount of traffic
and can migrate only data between
identical service instances
Migrate state, not everything!
Data center
SDN network
SDN controller
Migrate application state
(e.g., NAT table)
Service migration now becomes
implementation-agnostic
VM NAT
ONOS NAT
The key? A common Data Model
…
list nat-session {
leaf protocol {
type proto-type
}
leaf src_address {
description “Source Address”;
type inet:ip-address;
}
leaf src_port {
description “Source Port”;
type port-type;
}
leaf translated_address {
description “Translated address”;
type inet:ip-address;
}
leaf translated_port {
description “Destination port”;
type port-type;
}
}
{
“nat-session” : [
{
“protocol”: “TCP”,
“src_address”: “10.0.0.1”,
“src_port”: “2526”,
“translated_address”:
“130.192.225.79”,
“translated_port”: “5678”
},
…
]
}
The essential information
of each service is captured
by a data model, which is
used to transfer the actual
state of the app
VM NAT
ONOS NAT
Implementation-
agnostic
NAT
VM image +
memory (size)
SDN controller
Today Tomorrow Next week
Changing exec environment Upgrading feature set
Running
NAT
Hot
standby
Traffic flow
Traffic flow after
state migration
state
State (size)
Reduced transferred data
Keeping hot-
standby services
VM NAT ONOS NAT Docker NATng
(vs.)Benefits
Next Steps
• Generalize the approach with additional
network functions
• Investigate possible issues when a portion of
the state is shared with the operating system
Live Migration of 5G Services between Heterogenous Infrastructure Domains

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Live Migration of 5G Services between Heterogenous Infrastructure Domains

  • 1. Live Migration of 5G Services between Heterogeneous Infrastructure Domains For more mobile, agile and resilient services L. Pesando, A. Manzalini (TIM), F. Risso, I. Cerrato (Politecnico di Torino)
  • 2. Current live migration technology Data center A Migrate VM image + memory Data center B VM NAT VM NAT We generate a large amount of traffic and can migrate only data between identical service instances
  • 3. Migrate state, not everything! Data center SDN network SDN controller Migrate application state (e.g., NAT table) Service migration now becomes implementation-agnostic VM NAT ONOS NAT
  • 4. The key? A common Data Model … list nat-session { leaf protocol { type proto-type } leaf src_address { description “Source Address”; type inet:ip-address; } leaf src_port { description “Source Port”; type port-type; } leaf translated_address { description “Translated address”; type inet:ip-address; } leaf translated_port { description “Destination port”; type port-type; } } { “nat-session” : [ { “protocol”: “TCP”, “src_address”: “10.0.0.1”, “src_port”: “2526”, “translated_address”: “130.192.225.79”, “translated_port”: “5678” }, … ] } The essential information of each service is captured by a data model, which is used to transfer the actual state of the app VM NAT ONOS NAT Implementation- agnostic NAT
  • 5. VM image + memory (size) SDN controller Today Tomorrow Next week Changing exec environment Upgrading feature set Running NAT Hot standby Traffic flow Traffic flow after state migration state State (size) Reduced transferred data Keeping hot- standby services VM NAT ONOS NAT Docker NATng (vs.)Benefits
  • 6. Next Steps • Generalize the approach with additional network functions • Investigate possible issues when a portion of the state is shared with the operating system