P3 3-fabio schreiber

PERVASIVE DATA MANAGEMENT

IN FUTURE NETWORKED ENTERPRISES

Fabio A. Schreiber and Letizia Tanca Politecnico di Milano

The Networked Enterprise Background

Increasing international competition

Flexibility needs

Rapid evolution of the environments (market needs and available technologies)

Reduction of the time-to-market

Need of personalising the offer

A new organisational model not limited to the production supply chain but involving also the design and innovation processes : the networked enterprise

FInES Workshop Aalborg 2012

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Traditional model

providers purchase production distribution customers

Networked enterprise

Network based interdependent companies

Aimed at cooperation and coordination

Pervasive, Context-aware Systems

Networked enterprises need information gathered

from multiple heterogeneous sources

Information noise must be filtered by context in

order to provide only the right data to the right

person in the right situation

Pervasive languages can be effectively used to

design and implement complex, self-adapting

applications


2

The Artdeco project vision


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To develop models, methods

and a platform to support

exchange of information

through various enterprises

part of a supply chain

• Sensors and RFIDs placed

everywhere allowing the system

to monitor the position of

products and their state in the

supply chain

• Mechanisms to autonomically

reconfigure a sensors network

based on environmental

conditions

• Context awareness allowing the

various actors of the enterprise

to access the right information at

the right time

Artdeco

middleware

Product X

arriving

tomorrow

Product X

on truck Y

on A1 highway

Context-aware information and service tailoring

• observables

• context schema

Context Modelling

• instantiation

• validation

• reasoning

Context Sensing

• context-aware data

• context-aware operations

Context-Aware

Behaviour

design-time run-time


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Case Study: The Wine LifeCycle


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Design Time Modeling


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risk

Context is hierarchically modelled in terms of observable parameters that have

a symbolic internal representation within the CDT context schema

The CD model is completely independent of the specific formalism adopted.

The Context Dimension Tree

Context-aware data tailoring


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Context-aware system architecture


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DATA VIEW FOR CONTEXT C

Some contextual views


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Sample contexts:

C1=< phase=harvesting, *, role=agronomist >

C2 =< phase=ageing, *, role=agronomist >

C3=< phase=harvesting, *, role=qlity manager >

C4 =< phase=transport, *, role=qlity manager >

Some contextual queries


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The agronomist during the harvesting phase

(context C1) wants to collect all the available

information coming from sensors:

SELECT m.date_time,m.value,s.s_id, s.meas_unit FROM C1.sensor s, C1.measure_data m

WHERE s.s_id=m.s_id;

S/he obtains only the information from sensors

placed in the vineyards (see Rel(C1))

Some contextual queries


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The quality manager during the harvesting phase

(context C3) wants to collect all the available

information about bottles of “Aglianico” wine:

SELECT *

FROM C3.bottle b

WHERE b.appellation="aglianico";

But the query is out of context, in the context C3

only information about vineyard and grapevine

are available for the qlity manager

The environment is modelled in terms of dimension, concept nodes and attributes

Intuitively a valid context is a particular subtree of the CDT (formally defined in IJWET09)

Agronomist

Overheat

Driver QtyMngr

Role

Disease

Growth Ageing Transport

Type

$Square_meters $ID

Affected

hectares

Risk Phase

A fragment of the CDT model


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Context management at runtime


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context

recognition

context

switch

querying

• Context activation

• Real-time C-A behaviour

sensing

sensors as tuple providers

A middleware and a

language to manage

pervasive systems hiding

the complexity of handling

different technologies

• Numerical observables

• Symbolic observables

Context-aware WSN


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Apply the sensor query

only to the sensors in

context:

phase = ‘growth'

AND

risk='overheat‘

AND

orientation=‘west

ward’

Example: Given the previous CDT

CREATE DIMENSION Role

CREATE CONCEPT Agronomist

WHEN get_user_role()=‘agronomist’

CREATE CONCEPT QtyMngr

WHEN get_user_role()=‘qtyMngr’

CREATE CONCEPT Driver

WHEN get_user_role()=‘driver’

CREATE DIMENSION Risk

CREATE CONCEPT Disease

WHEN get_interest_topic()=‘disease’

CREATE CONCEPT Overheat

WHEN temperature > 30 AND

brightness > 0.75;

…..

Agronomist

Overheat

Driver QtyMngr

Role

Disease

$ID $square_

meters

Type Affected

hectares

Risk

The context language (1/2)


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CREATE CONTEXT Growth_Monitoring

ACTIVE IF phase = ‘growth' AND role=‘agronomist’ AND Risk='overheat'

ON ENABLE(Growth_Monitoring):

SELECT temperature,humidity

SAMPLING EVERY 120 s

EXECUTE IF location = ‘vineyard'

SET PARAMETER 'alarm' = TRUE;

ON DISABLE(Growth_Monitoring):

SET PARAMETER 'alarm' = FALSE;

REFRESH EVERY 24 h;

Agronomist Growth

Risk

Overheat

Role Phase

The context Language (2/2)


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ID Temperature Brightness

1 28 0.60

3 31 0.71

4 33 0.80

OVERHEAT:

temperature > 30 AND brightness > 0.75

The context is active for all the

sensors for which the rule is true,

and the context-aware actions will

be performed only on them.

The CM associates to every dimension of the CDT a table that

contains the values of every numeric observable sampled from the

environment.

Agronomist Growth

Risk

Overheat

Role Phase

The context manager


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Concluding remarks

Pervasive systems are widely adopted to monitor many kinds

of physical phenomena and to seamlessly accommodate

information coming from all kinds of heterogeneous data

sources (e.g. social networks as sensors)

Context-awareness plays a fundamental role since it allows,

through the perception of the environment, to make the system

autonomic w.r.t. environmental situations and changes.

Further data personalization can be obtained considering the

user’s preferences


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Acknowledgements


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Giorgio

Orsi Cristiana

Bolchini

Letizia

Tanca

Fabio A.

Schreiber

Elisa

Quintarelli

Romolo

Camplani

Q & A


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Q & A (If you see this slide we’ve not run out of time)

Technology

P3 3-fabio schreiber