Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Low-Cost Adaptive Monitoring
Techniques for the Internet of Things
The AdaM Framework
The Challenges…
Challenge 1 - Taming data volume and data velocity with limited
processing and network capabilities
Challe...
Research Question
Can we reduce the volume of IoT
generated data while at the same time
reduce on device processing to pre...
The AdaM Framework
Raspberry Pi
Arduino
Beacons
Processing
Unit
Dissemination
Unit
Adaptive
Sampling
Knowledge
Base
AdaM I...
AdaM in action!
Steps Heartrate
Calories
94%
accuracy!
96%
accuracy!
91%
accuracy!
AdaM in action!
6x less processing! 4x less network traffic!
4x less energy usage!
+ AdaM
3 - 5 days
7 - 8 days
Upcoming SlideShare
Loading in …5
×

Adam - Adaptive Monitoring in 5min

339 views

Published on

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Adam - Adaptive Monitoring in 5min

  1. 1. Low-Cost Adaptive Monitoring Techniques for the Internet of Things The AdaM Framework
  2. 2. The Challenges… Challenge 1 - Taming data volume and data velocity with limited processing and network capabilities Challenge 2 - IoT devices are usually battery-powered which means intense processing leads to less battery-life Data Volume Network Bandwidth Battery Life The Problems…
  3. 3. Research Question Can we reduce the volume of IoT generated data while at the same time reduce on device processing to preserve battery life?What if: • A framework could predict metric stream evolution and dynamically adapt the rate at which metrics are collected… • Filter out metric values when consecutive values do not differ and adapt to ensure accuracy defined by users is always met… 𝑠𝑖 𝑠𝑖+1 𝑇𝑖+1 Metric Stream 𝑀′ dynamically sampledMetric Stream 𝑀 with 𝑇 = 1𝑠
  4. 4. The AdaM Framework Raspberry Pi Arduino Beacons Processing Unit Dissemination Unit Adaptive Sampling Knowledge Base AdaM IoT Device metrics adjust filter range Adaptive Filtering A P I Activity Trackers Sensing Unit adjust sampling rate filtered metrics • Reduces on device processing, energy consumption and allocated bandwidth • Reduces volume and velocity of data generated in streaming networks • Achieves a balance between efficiency and accuracy • AdaM dynamically adapts the monitoring intensity of IoT devices based on metric stream evolution and variability AdaM: an Adaptive Monitoring Framework for Sampling and Filtering on IoT Devices. Trihinas, D.; Pallis, G.; and Dikaiakos, M. D. In 2015 IEEE International Conference on Big Data, (IEEE BigData 2015), pages 717--726, 2015.
  5. 5. AdaM in action! Steps Heartrate Calories 94% accuracy! 96% accuracy! 91% accuracy!
  6. 6. AdaM in action! 6x less processing! 4x less network traffic! 4x less energy usage! + AdaM 3 - 5 days 7 - 8 days

×