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QoC-based Optimization of End-to-End M-Health Data Delivery Services. Ing Widya (UoT), Bert-Jan van Beijnum (UoT), Alfons Salden (TI). Outline: introduction mobile-healthcare case context flow graph computational model freshness, availability, costs QoC computational example

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qoc based optimization of end to end m health data delivery services
QoC-based Optimization of End-to-EndM-Health Data Delivery Services

Ing Widya (UoT),

Bert-Jan van Beijnum (UoT),

Alfons Salden (TI)

slide2
Outline:
  • introduction
    • mobile-healthcare case
  • context flow graph
  • computational model
    • freshness, availability, costs QoC
  • computational example
  • conclusions
introduction

ADSL

Front-End

modem

si

Zigbee

ISP

Back-End

WiFi

MBU

Internet

Backbone

BlueTooth

mHP

UMTS

Front-End

si

Zigbee

PNO

GPRS

m-Health Portal

Body Area Network (BAN)

Internet Access

Introduction
  • M-Health Application
  • resource configuration & alternatives
context flow graph cfg

S1

BTooth1

GW-processing

NFE12

NMBU11

NGW1

NGW2

wired links

NFE11

S2

FE1-

processing

WiFi

Zigbee1

S3

ADSL

GPRS

NBE2

NMBU3

NBE1

UMTS

S4

BE-

processing

WiFi

BTooth2

NFE22

NMBU22

wired link

NFE21

S5

FE2-

processing

Zigbee2

= context generatornode

= pre-selectnode

= aggregating node

Context Flow Graph (CFG)
  • optimal path to bring health-data to professional ?
cfg qoc and qos

QoS

QoCat_B

QoCat_A

Context Information

Context Information

resource (processing/communication)

node A

node B

CFG, QoC and QoS
  • QoC based selection
    • Quality of Context (information)
    • QoC freshness(/up-to-dateness), availability, “costs”;
  • QoC impeded by QoS
computational model
Computational Model
  • min-plus algebra
    • additive operation:
    • multiplicative operation:

arithmetic domain

  • max-plus algebra:
    • arithmetic maximum (instead minimum)
  • properties: commutative, associative, …
computational model1
Computational Model (..)
  • aggregation & concatenation elements
    • algebraic expression

d1

S1

NFE11

d2

S2

  • QoC arithmetic expression
computational model2

BTooth1

NFE12

Zigbee1

Computational Model (..)
  • concatenation & pre-select element
    • algebraic expression

NMBU11

  • QoC arithmetic expression
computational model3
Computational Model (..)
  • End-to-End Freshness algebraic expression
computational model4
Computational Model (..)
  • (1,1) element

S1

NFE12

NMBU11

NGW1

NGW2

NFE11

wired links

S2

FE1-

processing

Zigbee1

S3

GPRS

NBE2

NMBU3

NBE1

S4

BE-

processing

NFE22

NMBU22

wired link

NFE21

S5

FE2-

processing

Zigbee2

  • Availability & costs: independently & similarly
computational example
Computational Example
  • QoS values (illustration)
  • QoC results
    • three independently calculated QoC matrices
    • 4x4 matrices of ranked alternative E2E paths
  • Weighing Metrics
    • weighted quadratic norms
computational example1
Computational Example (..)
  • QoC for a rehabilitation training scenario
    • weights: wFr = 1, w1-Av = 150, wCo = 0.02 (not normalized)

outdoors

indoors

  • indoors: path via ZigBee1, BTooth2 & WiFi + ADSL
  • outdoors: path via ZigBee1, BTooth2 & UMTS
conclusions
Conclusions
  • QoC based selection of an optimal E2E transfer pathfor M-Health scenarios;
  • Min-max-plus algebra for several QoC dimensions;
  • Future work:
    • dynamic case
    • use of (colored) Petri-Nets
    • other workflow operations
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