The Case for Symbiosis in the Internet of Things
Vision: The Case for Symbiosis in
the Internet of Things
Ahmed Saeed
*, Mostafa Ammar*, Khaled A. Harras
†
, and Ellen Zegura*
*Georgia Institute of Technology
†
Carnegie Mellon University Qatar
“Industrial Internet” has the potential to add $10
to $15
trillion
to global GDP over the next 20
years” — GE
“By equipping street lights with sensors and
connecting them to the network, cities can dim
lights to save energy, only bringing them to full
capacity when the sensors detect motion. This
can reduce energy costs by 70-80%.” — John
Chambers, Cisco
“13.5 million health and fitness trackers were sold
globally last year”
– GfK’s trends data
IoT in a Home Network
Cloud
Analysis, Control,
and Storage
Cloud and Mobile
Devices Play a central
role in data processing
and storage
IoT in a Home Network
Cloud
Analysis, Control,
and Storage
Plugged devices
doing very little
processing
IoT in a Home Network
Cloud
Analysis, Control,
and Storage
Devices
generating very
fine-grain,
private, data
Cloud
Analysis, Control,
and Storage
IoT in a Home Network
Wasted Processing
Resources
Congested and
High Latency WAN
Fine-grain
private
information
stored and
analyzed in
the cloud
Cloud
Analysis, Control,
and Storage
The Complete Home Network
“Within three years, 50% of IT networks will transition
from having excess capacity to handle the additional
IoT devices to being network constrained with nearly
10% of sites being overwhelmed.” – IDC
Bandwidth
“39% [of Americans] say they are “very concerned” or
“somewhat concerned” about government
monitoring of their activity on search engines.” – PEW
Research
Privacy
Using commercial cloud services is unsatisfactory
because RTTs are too high. This situation is unlikely to
change due to the focus on improving bandwidth
rather than end-to-end latency. – Satyanarayanant et.
al
Latency
Cloud
1. Storage of Summaries
2. Long Term Analysis
Symbiosis in the Internet of Things
Devices can cooperate to match the services provided by the cloud
Outline
•
Motivation
•
Symb
IoT
Design Goals
•
Symb
IoT
Strawman Architecture
•
Feasibility Study
•
Conclusion
S
y
m
b
I
o
T
D
e
s
i
g
n
G
o
a
l
s
•
Reducing Internet bandwidth
consumption
•
Matching and improving on
cloud’s performance
•
Improving resources
utilization with the same LAN
Cloud
Two examples
of flows that
will be much
less congested
Outline
•
Motivation
•
Symb
IoT
Design Goals
•
Symb
IoT
Strawman Architecture
•
Feasibility Study
•
Conclusion
S
y
m
b
I
o
T
S
t
r
a
w
m
a
n
A
r
c
h
i
t
e
c
t
u
r
e
S
y
m
b
I
o
T
S
t
r
a
w
m
a
n
A
r
c
h
i
t
e
c
t
u
r
e
S
y
m
b
I
o
T
S
t
r
a
w
m
a
n
A
r
c
h
i
t
e
c
t
u
r
e
S
y
m
b
I
o
T
S
t
r
a
w
m
a
n
A
r
c
h
i
t
e
c
t
u
r
e
Outline
•
Motivation
•
Symb
IoT
Design Goals
•
Symb
IoT
Strawman Architecture
•
Feasibility Study
•
Conclusion
Feasibility Study: Setup
•
To obtain our results we compare a sample video tagging service
running on
•
A Laptop representing a cloud service
•
Two Raspberry Pies representing two lower end processing nodes in SymbIoT
Feasibility Study: Results
•
Cloud can be matched for a latency tolerant application using only 20
Raspberry Pies
•
For more latency sensitive applications more powerful devices in the
LAN can be assigned the task based on the chosen policy
Conclusion
•
Current architecture of IoT deployment:
•
Unnecessarily overloads WANs
•
Introduces high latency
•
Jeopardizes user privacy
•
Underutilizes processing power already available in the network
•
Symb
IoT
is a new architecture that enables the utilization of any
underutilized nodes in the network to lessen the burden on WANs
•
Preserves privacy by minimizing, and controlling, data traveling outside the networks
•
Has the potential to match the performance of modern clouds at a much lower cost
Exploring the potential of symbiosis in IoT, this presentation delves into the benefits of collaboration between devices, cloud analysis, and storage. With examples ranging from health trackers to smart city infrastructure, the vision is set to revolutionize data processing and energy efficiency in the interconnected world.
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Presentation Transcript
Vision: The Case for Symbiosis in the Internet of Things Ahmed Saeed*, Mostafa Ammar*, Khaled A. Harras , and Ellen Zegura* *Georgia Institute of Technology Carnegie Mellon University Qatar
13.5 million health and fitness trackers were sold globally last year GfK s trends data Industrial Internet has the potential to add $10 to $15 trillion to global GDP over the next 20 years GE By equipping street lights with sensors and connecting them to the network, cities can dim lights to save energy, only bringing them to full capacity when the sensors detect motion. This can reduce energy costs by 70-80%. John Chambers, Cisco
IoT in a Home Network Cloud Analysis, Control, and Storage Cloud and Mobile Devices Play a central role in data processing and storage
IoT in a Home Network Plugged devices doing very little processing Cloud Analysis, Control, and Storage
IoT in a Home Network Devices generating very fine-grain, private, data Cloud Analysis, Control, and Storage
IoT in a Home Network Fine-grain private information Wasted Processing Resources Cloud Analysis, Control, and Storage stored and analyzed in the cloud
Within three years, 50% of IT networks will transition The Complete Home Network from having excess capacity to handle the additional IoT devices to being network constrained with nearly 10% of sites being overwhelmed. IDC Bandwidth Using commercial cloud services is unsatisfactory because RTTs are too high. This situation is unlikely to Cloud Analysis, Control, and Storage change due to the focus on improving bandwidth rather than end-to-end latency. Satyanarayanant et. al Latency 39% [of Americans] say they are very concerned or somewhat concerned about government monitoring of their activity on search engines. PEW Research Privacy
Symbiosis in the Internet of Things Cloud 1. Storage of Summaries 2. Long Term Analysis Devices can cooperate to match the services provided by the cloud
Outline Motivation SymbIoT Design Goals SymbIoT Strawman Architecture Feasibility Study Conclusion
SymbIoT IoT Design Goals Cloud Reducing Internet bandwidth consumption Matching and improving on cloud s performance Improving resources utilization with the same LAN Two examples of flows that will be much less congested
Outline Motivation SymbIoT Design Goals SymbIoT Strawman Architecture Feasibility Study Conclusion
SymbIoT IoT Strawman Architecture
SymbIoT IoT Strawman Architecture
SymbIoT IoT Strawman Architecture
SymbIoT IoT Strawman Architecture
Outline Motivation SymbIoT Design Goals SymbIoT Strawman Architecture Feasibility Study Conclusion
Feasibility Study: Setup To obtain our results we compare a sample video tagging service running on A Laptop representing a cloud service Two Raspberry Pies representing two lower end processing nodes in SymbIoT
Feasibility Study: Results RTT Processing Time Per Frame Latency Per Frame Internet Bandwidth used Video Processor Service Cost Cloud 30 ms 46 ms 69.1 Mbps (Minimal latency) $9.95 $29.95 per month 17 ms Cloud 220 ms 198 ms 13.9 Mbps (Maximal latency) SymbIoT < 1 ms 553 ms 542 ms 0 Mbps Free Cloud can be matched for a latency tolerant application using only 20 Raspberry Pies For more latency sensitive applications more powerful devices in the LAN can be assigned the task based on the chosen policy
Conclusion Current architecture of IoT deployment: Unnecessarily overloads WANs Introduces high latency Jeopardizes user privacy Underutilizes processing power already available in the network SymbIoT is a new architecture that enables the utilization of any underutilized nodes in the network to lessen the burden on WANs Preserves privacy by minimizing, and controlling, data traveling outside the networks Has the potential to match the performance of modern clouds at a much lower cost
