Generic Framework for Quality-based Adaptation within ... · A Generic Framework for Quality-based...

A Generic Framework for Quality-based Autonomic Adaptation within Sensor-based

Systems

ICSOC ASOCA 2016, Banff (Canada)

Antoine Auger, Ernesto Exposito, Emmanuel Lochin

[email protected]

mailto:[email protected]

Introduction

2

✓ A World of sensors

✓ Sensor-based systems (sensor middlewares and IoT platforms)

Introduction

2



➡ Observation quality is often delegated to applications

Introduction

2



➡ Observation quality is often delegated to applications

➡ How to provide relevant observations to applications that have various and evolutive needs?

Required background

3

What is sensor observations? (see also the "DIKW ladder", [Sheth2016])

Required background

3


Sensor Raw Data = Data coming from sensors

Required background

3


Sensor Raw Data

Sensor Information =

=

Sensor Raw Data + Context information

Data coming from sensors

Required background

3


Sensor Raw Data

Sensor Information

Sensor Knowledge =

=

=


+ SemanticsSensor Raw DataSensor Information


Required background

3


Sensor Raw Data

Sensor Information

Sensor Knowledge =

=

=


+ SemanticsSensor Raw DataSensor Information


Sensor observations}

Required background

4

How to characterize observation quality?

➡ Quality of Service (QoS) but…

Required background

4

How to characterize observation quality?

➡ Quality of Service (QoS) but…

Other approaches:

➡ Quality of Information (QoI) [Bisdikian2009] ➡ Context information [Dey2001]

…

Required background

5

The Autonomic Computing paradigm:

AutonomicManager

ManagedElement

ManagedElementtouchpoint

Sensors Effectors

ExecuteMonitor

PlanAnalyze

AutonomicElement

Knowledge

Taken from [Kephart2003]

Required background

6

Autonomic maturity levels (from [Jacob2004]):

(1) Basic

(2) Managed

(3) Predictive

(4) Adaptive

(5) Autonomic

➡ hard-coded behavior

➡ basic rules

➡ fusion, machine learning

➡ Service Level Agreements

➡ business rules

Framework proposal

7

Preliminary work: we studied 32 context-aware systems

• Observation characterization (network QoS, QoI, Context)

• Observation modelling(ontologies)

• Adaptation strategy (autonomic maturity level, adaptation mechanism)

Temperature sensor

Temperature sensor

Humidity sensor

Sensor middleware orIoT platform

Topic: temperatureLocation: Banff

8

Application

Temperature sensor

Temperature sensor

Humidity sensor


1) Request


8

Application

Temperature sensor

Temperature sensor

Humidity sensor


2) Retrieval / binding


8

Application

Temperature sensor

Temperature sensor

Humidity sensor


3) Response


8

Application

Temperature sensor

Temperature sensor

Humidity sensor



8

…

observationobservationobservation

…

Application

Temperature sensor

Temperature sensor

Humidity sensor



9

Application

Temperature sensor

Temperature sensor

Humidity sensor



9

But what if…

• application needs change

Application

Temperature sensor

Temperature sensor

Humidity sensor


9

But what if…


Application

Temperature sensor

Temperature sensor

Humidity sensor


9

But what if…


Application

• sensor fails

Temperature sensor

Humidity sensor


9

But what if…


Application

• sensor fails

Temperature sensor

Humidity sensor


9

But what if…


Application

…


…

• sensor fails• poor observations

Temperature sensor

Humidity sensor


9

But what if…


Applications are asked to adapt themselves and must handle failures!

Application

…


…

• sensor fails• poor observations

Framework proposal

10


Framework proposal

10


Content and quality

Framework proposal

10


Content and quality

Application-specific

Framework proposal

10


Adaptation

Content and quality

Application-specific

Temperature sensor

Temperature sensor

Humidity sensor

Application

11

API

Temperature sensor

Temperature sensor

Humidity sensor

Application

11

Raw Data layer Collection and digitization of phenomena/events

Topic: temperatureLocation: BanffLevel: Raw Data

API

Temperature sensor

Temperature sensor

Humidity sensor

Application

11


Topic: temperatureLocation: BanffLevel: Raw Data

API

{sensor_id: 34, value: 20}

Temperature sensor

Temperature sensor

Humidity sensor

Application

11


Information layer Raw Data characterization

API

Temperature sensor

Temperature sensor

Humidity sensor

Application

11



API


Level: Information

Temperature sensor

Temperature sensor

Humidity sensor

Application

11



API


Level: Information

{sensor_id: 34, value: 20, unit: Celsius, location:

(43.564509, 1.468910),

accuracy: 0.8}

Temperature sensor

Temperature sensor

Humidity sensor

Application

11



API

Semantic layer Semantic annotation

Temperature sensor

Temperature sensor

Humidity sensor

Application

11



API

Topic: temperatureLocation: BanffLevel: Semantic


Temperature sensor

Temperature sensor

Humidity sensor

Application

11



API

Topic: temperatureLocation: BanffLevel: Semantic

{sensor_type: temperature,

value: comfort, location: room3, accuracy: good}


Temperature sensor

Temperature sensor

Humidity sensor

Application

11



API


Temperature sensor

Temperature sensor

Humidity sensor

Application

11



API


Auto. Manager

Auto. Manager

Auto. Manager

Framework usage

12

Guidelines to design an autonomic quality-aware sensor-based system with our framework:

1- What will be asked by applications / users?

2- How my system will adapt its behavior?3- General use cases definition

4- What metrics for observation quality?

5- Specific use cases definition for each MAPE-K loop

Conclusions

13

Quality of Observations (QoO) is critical within information-centric systems

Conclusions

13


Most of the time, delegated to applications

Conclusions

13


Most of the time, delegated to applications

Generic framework to build quality-aware sensor-based systems: ✓ Autonomic adaptation based on QoO ✓ Applications can focus on their primary goal ✓ Framework generic and customizable

Perspectives

14

We are building an integration platform for Quality of Information Assessment as a Service (iQAS)

➡ Accepted paper at IEEE WF-IoT 2016 (December 2016)

A Generic Framework for Quality-based Autonomic Adaptation within Sensor-based

Systems

Antoine [email protected]

This research was supported in part by the French Ministry of Defense through a financial support of the Direction Générale de l'Armement (DGA).

Thank you for your attention

mailto:[email protected]

References

16

[Sheth2016] Sheth, A.: Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing. IEEE Intelligent Systems 31(2), 108–112 (Mar 2016)

[Bisdikian2009] Bisdikian, C., Branch, J., Leung, K., Young, R.: A letter soup for the quality of information in sensor networks. In: IEEE International Conference on Pervasive Computing and Communications, 2009. PerCom 2009. pp. 1–6 (Mar 2009)

[Dey2001] Dey, A.K.: Understanding and using context. Personal and ubiquitous computing 5(1), 4–7 (2001)

[Kephart2003] J. O. Kephart and D. M. Chess, “The vision of autonomic computing,” Computer, vol. 36, no. 1, pp. 41–50, 2003.

[Jacob2004] Jacob, B., Lanyon-Hogg, R., Nadgir, D.K., Yassin, A.F.: A practical guide to the IBM autonomic computing toolkit. IBM, International Technical Support Organization (2004)

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