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Making the best of satellite 
links to Pacific Islands 
Ulrich Speidel, Lei Qian, ‘Etuate Cocker, Péter Vingelmann, Janus Heide, 
Muriel Médard
ulrich@cs.auckland.ac.nz
So, you’re on an island….
So, you’re on an island….
How’d you get Internet?
So, you’re on an island….
How’d you get Internet? Fibre‐optic 
cable?
So, you’re on an island….
How’d you get Internet? Fibre‐optic 
cable?
Sure. Let’s hope 
you’re close to 
a cable hub, or 
have money! 
So, you’re on an island….
How’d you get Internet? Fibre‐optic 
cable?
Sure. Let’s hope 
you’re close to 
a cable hub, or 
have money! 
Closest cable connection
point 2035 km
So, you’re on an island….
How’d you get Internet? Fibre‐optic 
cable?
Sure. Let’s hope 
you’re close to 
a cable hub, or 
have money! 
Closest cable connection
point 2035 km
Treasure Island, maybe,
miles away!
So, you’re on an island….
How’d you get Internet?
Satellite?
Sure. Affordable 
but not cheap. 
So, you’re on an island….
How’d you get Internet?
So, you’re on an island….
How’d you get Internet?
Man! This is 
sooo slow!
So, what actually happens here….
…and why?
So, what actually happens here….
…and why?
Satellite links are not born equal
Satellite links are not born equal
Geostationary (~500 ms one‐way latency)… 
Satellite links are not born equal
Geostationary (~500 ms one‐way latency)… 
….vs. medium earth orbit (~120 ms one‐way latency)
Satellite links are not born equal
Geostationary (~500 ms one‐way latency)… 
….vs. medium earth orbit (~120 ms one‐way latency)
gateway to gateway
Satellite links are not born equal
Geostationary (~500 ms one‐way latency)… 
….vs. medium earth orbit (~120 ms one‐way latency)
gateway to gateway
gateway to multiple end users
Satellite links are not born equal
Geostationary (~500 ms one‐way latency)… 
….vs. medium earth orbit (~120 ms one‐way latency)
gateway to gateway
gateway to multiple end usersn a r r o w b a n d
Satellite links are not born equal
Geostationary (~500 ms one‐way latency)… 
….vs. medium earth orbit (~120 ms one‐way latency)
gateway to gateway
gateway to multiple end usersn a r r o w b a n d
WIDEBAND
Satellite links are not born equal
Geostationary (~500 ms one‐way latency)… 
….vs. medium earth orbit (~120 ms one‐way latency)
gateway to gateway
gateway to multiple end usersn a r r o w b a n d
WIDEBAND
bandwidth shared by just a few flows
Satellite links are not born equal
Geostationary (~500 ms one‐way latency)… 
….vs. medium earth orbit (~120 ms one‐way latency)
gateway to gateway
gateway to multiple end usersn a r r o w b a n d
WIDEBAND
bandwidth shared by just a few flows
bandwidth shared by a large number of flows
Our partners in the Pacific
• Bluesky Cook Islands
• Internet Niue
• Tuvalu Telecom
• PICISOC
Typical setups
• GEO link from off‐island gateway to gateway on island
• MEO link to Rarotonga and Aitutaki in the Cook Islands 
• “Pipe model”: All IP traffic to/from the island shares 
the same channel
• Provisioned bandwidths (inbound traffic): 8‐332 Mbps
Typical observations
• Concurrent users: 8‐800
• Concurrent TCP connections: ? to over 2000
• Outgoing SYNs: ? to over 1000 
• Link utilisation often well below 100%
• Burst packet losses
• => Evidence of queue oscillation
TCP queue oscillation
• Multiple TCP senders remotely send traffic to the sat gate
• Sat link is a bottleneck. Queue at sat gate acts like a funnel.
• TCP sender cannot see queue state directly
• Feedback on queue state goes via the satellite to remote TCP 
receivers, and from there back to the senders
• Long delays: >500 ms on GEO, >125 ms on MEO
• Queue can oscillate between empty and overflow
• Complicating factors: TCP slow start, exponential back‐off
Island 
network
TCP receivers
Internet
TCP senders
Queue
The four phases of queue oscillation
1. Sat gate queue not full. TCP senders receive ACKs, 
increase congestion window. Queue builds up. 
2. Sat gate queue full. New packets arriving are 
dropped. Senders still receive ACKs and send more
data in the direction of the queue. Queue continues 
to overflow: burst losses
3. ACKs from dropped packets become overdue. 
Senders throttle back. Packet arrival at queue slows 
to a trickle. Queue drains.
4. Queue clears completely. Link sits idle for part of 
the time, link not fully utilised
Note: Queue oscillation explains the packet loss phenomena on all sat links we studied – we don’t need noise or interference
Effect of queue oscillation on TCP flows
• >90% of data bytes end up in TCP connections
whose average rate is below 4 Mbps
• But: ISP’s don’t necessarily see that
• Why?
Effect of queue oscillation on TCP flows
• Over half of the bytes are in the largest
flows
• Since most bytes experience low data 
rates…
• But again: 
ISP’s don’t necessarily see that
• Why?
Why ISP’s don’t see Queue Oscillation 
• Most flows are really short!
• Testing:
• Ping: short flows
• Loading web sites: short flows
(most elements are small)
• User’s can surf and get their mail, 
(blame server, not ISP)
• Users don’t complain to ISP!
• Short flows don’t experience queue
oscillation: user experience dominated 
by RTT delay, not rate
What’s the effect in practice?
• Mail headers and e‐mail messages load quickly – but large 
attachments don’t
• Web browsing pages with only text or small elements is fast – but 
download of software and larger documents (e.g., PDFs, movies) isn’t
Common misconception
• “The download time depends mainly on the data rate”
• This is true for large downloads only!
• Example: 160 ms RTT, 300 Mbps sat link, assume no server delay
• 5 kB download averaging a rate of 4 Mbps takes 170 ms – 94% RTT
• This is what users experience in web browsing
• Half the data rate takes this up to 180 ms only
• 10 MB download averaging a rate of 4 Mbps takes 20.16 s  ‐ 0.8% RTT 
• If we only achieve half the data rate here, we need to wait over 40 seconds!
• TCP slow start is meant to let larger flows make better use of the capacity
• This isn’t happening here: shorter flows between 4 and 32kB in size achieve peak data 
rates around 70% faster than flows of 1MB and more 
Possible solutions – preliminary note
• TCP queue oscillation manifests as packet
loss
• Communications engineers are generally taught
to think of packet loss as cause by low/distorted 
signal and noise/interference
• In this model, packet loss occurs at the satellite 
receiver. This is not what we see here.
• IP networking people tend to think of packet loss
as a congestion phenomenon – packet drops at queues
• Note that in the case of queue oscillation, the
losses occurs at the input queue, not at the sat receiver
Island 
network
TCP receivers
Internet
TCP senders
Queue
Possible solutions
• Performance Enhancing Proxies (PEPs)
• Pure ACK spoofers
• Full connection splitters
• Forward error correction across multiple packets: network coding
ACK‐spoofing PEPs
• PEP ACKs incoming data packets to sender
• PEP forwards & caches data packets without modifying sequence numbers
• Absorbs ACKs from receiver or retransmits packets after ACK timeout
• PEP interferes with connection, but doesn’t fully split it 
TCP 
receiver
Sat gate 
on 
island
Sat gate 
off island 
with ACK  
spoofer
TCP 
sender
data packets
spoofed ACKs
data packetsdata packets
ACKs ACKs
• PEP pretends to be the server when dealing with the host that initiates the 
connection
• PEP terminates the connection and opens a separate connection to the server
• Data between the connections at the PEP travels through a pipe at the 
application layer 
• PEP splits the connection – violates end‐to‐end principle 
Connection A Connection A Connection A Connection A Connection A
Connection‐splitting PEPs
TCP 
receiver
Sat gate 
on 
island
Sat gate 
off island 
with PEP
TCP 
sender
Connection B
PEPs
• Have been around for a while but either aren’t used in the Pacific, or if used, don’t seem 
to work that well
• Literature indicates that PEPs work well for a small number of parallel connections, but 
there are few studies looking at hundreds or thousands of parallel connections
• Connection A potentially still sees a bottleneck with long latency
• Main effect is to bring the RTT down (a little?) for the TCP senders
• Can also have connection‐splitting PEPs at both sat gates and use TCP variants for long 
latencies (Hybla, H‐TCP etc.) between sat gates. However, these tend to be aimed at long 
fat pipes, not long narrow ones. 
Solution: TCP over network coding (TCP/NC)
• Rethink: Need a way in which we can let the sat gate drop data without 
causing mayhem in TCP
• Network coding converts g IP packets into N “linear combination packets”
(“network encoding”) with N>g
• The decoder at the other end of the satellite link can recover the original g 
data packets from any g out of the N combination packets if they are 
linearly independent
• Required “overhead” N‐g tends to vary slowly in practice – can make this 
adaptive with feedback
TCP/NC tunnel setup
coconut
TCP/NC protocol stack
Physical layer
Data link layer
UDP
IP
TCP, UDP, ICMP,…
Host NC encoder/decoder  NC encoder/decoder  HostSat gate Sat gate
Physical layer Physical layer Physical layer Physical layer
Data link layer Data link layer Data link layer
IP
Network code Data link layer
Benefit
• Sat gate can drop up to N‐g of the packets without TCP packet loss
• Amount of data going across the sat link is either almost the same as unencoded, or takes up 
what would have been spare capacity anyway
• Receiver almost never has to wait for missing data – TCP can communicate faster
• Technical effort (cost) involved is lower than the equivalent in extra satellite bandwidth or a cable
• End user don’t need to upgrade their computers
• Larger end users can use network coded TCP for their networks without involving their ISP
Rarotonga
• O3b satellite connection
• Typical peak time link utilisation around 50%
• TCP/NC encoders/decoders in Avarua and Auckland
• g=30, overhead variable based on feedback
• TCP/NC running alongside standard TCP
• Would probably need less overhead if all 
connections were coded
Niue scenario
• Connection via geostationary satellite with 8 Mbps downlink
• Very high link utilisation – sustained use of around 7.4 ‐ 7.6 Mbps during the day
• When sending data to Niue, we see some packet loss 
• Queue overflows but never drains!
• Almost all of the traffic on the link is goodput
• Can simulate this quite well, too:
• Non‐adaptive TCP/NC buys us goodput of over 2 Mbps on a single connection – at the expense of other traffic!
Graphic courtesy
Internet Niue
Funafuti, Tuvalu
TCP/NC maintains steady goodput
with 1‐10% packet loss
TCP/NC can complete some downloads 
even with >10% packet loss
TCP/NC experiments
• GEO downlink (~16 Mbps)
• TCP supported by SilverPeak accelerator
• Very low link utilisation below 25%
• TCP/NC (g=30, adaptive) does not use the SilverPeak
Graphic: own measurement
Implementation pathway
• Hardware & infrastructure
• Off‐island
• On‐island
• Software
• Networking considerations
• Transition
Hardware and infrastructure – off‐island
• Need a minimum of TWO encoder/decoder machines off‐
island (BGP gateway requirement for an AS) in TWO 
different AS
• Each of these can be a standard standalone server with 
TWO network interfaces each, running Debian or Ubuntu
• Most of the computation offshore is encoding, which is less 
computationally intense than decoding
• Our machine in Auckland is a Dell PowerEdge 320 with Intel 
Xeon Processor E5‐2420 v2 2.20GHz – as a guide one of these 
should be powerful enough for sat connections up to several 
hundred Mbps
• Should be in a data centre / centres. Best positioned 
closest to where most large‐file traffic comes from (e.g., 
NZ, California)
• The two network interfaces on each encoder / decoder 
machine need to be in different subnets
Internet
Encoder / Decoder 2
Encoder / Decoder 1
Hardware and infrastructure on‐island
• Requires minimum of one encoder/decoder machine (but two for redundancy would be good)
• Encoder/decoder machine(s) should have THREE GB Ethernet interfaces
• One for tunnel, one to span local network with decoded traffic, one for remote maintenance
• Encoder/decoder machines should sit off the first router after the sat gate
• Router needs to provide two subnets for the tunnel & remote maintenance interfaces (these can be /30 subnets)
• One router port faces the sat gate, of course
• Further router ports are for emergency communication only, in case there are problems with the encoder / decoder
All other on‐
island 
networks
Encoder / Decoder
GB Ethernet interface 2
(traffic to/from island 
users)
GB Ethernet interface 1 
(encoded traffic to / from 
sat gate / off‐island)
Router
Sat 
gate
Emergency fall‐
back network
GB Ethernet interface 3 
(remote maintenance)
Software
• Will need to refer you to Steinwurf for pricing options
• Current version of software supports two tunnels (one to / from each 
encoder / decoder on the other side of the link)
• We consider the software (kernel module) very stable – has not 
crashed on us yet
Networking considerations
• Current (experimental): On‐island encoder / decoder spans  a /29 subnet of 
the University of Auckland’s 130.216.0.0/16 AS
• This means we can get away with a single encoder / decoder there
• Supports only 6 clients (subnet has only 6 spare addresses)
• Production:
• Would need an AS large enough to accommodate all users (AS “A”)
• Gateways for this AS are the encoder / decoder machines off island – so whoever hosts these 
needs to advertise the AS via BGP, and their upstream providers need to support this
• Would need a subnet outside the AS to accommodate sat gate, router, tunnel 
interface, maintenance interface and emergency fall‐back network (AS “B”)
• A /24 is probably more than sufficient for this AS
• Could belong to the satellite provider
• Gateways for this AS could be the existing gateways for the current on‐island network
Transition (simplified concept)
• Step 1: Get a new /24 AS for AS “B”
• Step 2: Build AS “B” with router and encoder / decoder and configure it such that all it 
needs is to have its gateways advertised in BGP
• Step 3: Configure the existing gateways to also advertise AS “B” 
• Step 4: Configure encoder / decoder machine(s) on‐island to act as gateway to the 
existing on‐island, which is part of AS “A”. Use the island‐facing IP address of the current 
router but don’t connect the network yet.
• Step 5: Configure the encoder / decoder machines offshore to act as gateways to AS “A”
• Step 6: Activate tunnel
• Step 7: Advertise off‐shore encoder / decoder machines as BGP gateways for AS “A”
• Step 8: Once traffic starts arriving through these, switch on‐island network over from old 
router to on‐island  encoder / decoder. 
Conclusions
• TCP/NC works well under low to moderate queue oscillation – a common daytime scenario in 
Pacific Islands
• Not so much a matter of “How many times faster?” but more of “How much of my bandwidth can 
I claw back?”
• Noticeable benefit in Rarotonga and Tuvalu
• Niue simply doesn’t have enough bandwidth deployed – TCP/NC gains there squeeze out standard 
TCP
• No benefit in low demand conditions (Aitutaki in mid‐2015)
• Transition requires a bit of network planning
Open questions and progress
• Links shared with legacy TCP cause burst errors that necessitate high 
NC overhead (high M). What would happen if all traffic to an island 
were encoded? Could we get away with less overhead?
• Current work: Simulating satellite connections with and without 
TCP/NC and PEPs
• Last but not least: Can we beat the throughput of the coconut 
telegraph?
Thank you!
Project partners, collaborators and funders
• Aalborg University, Denmark
• Bluesky, Telecom Cook Islands Ltd. 
• CAIDA, University of California San Diego and San Diego Supercomputer Center 
• Internet Niue
• Internet NZ
• Information Society Innovation Fund (through APNIC)
• Massachusetts Institute of Technology
• Pacific Island Chapter of the Internet Society (PICISOC)
• Steinwurf ApS, Denmark
• Tuvalu Communication Corporation
• University of Auckland

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