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QoC-based Optimization of End-to-End M-Health Data Delivery Services

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

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  1. QoC-based Optimization of End-to-EndM-Health Data Delivery Services Ing Widya (UoT), Bert-Jan van Beijnum (UoT), Alfons Salden (TI)

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

  3. 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

  4. 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 ?

  5. 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

  6. Computational Model • min-plus algebra • additive operation: • multiplicative operation: arithmetic domain • max-plus algebra: • arithmetic maximum (instead minimum) • properties: commutative, associative, …

  7. Computational Model (..) • aggregation & concatenation elements • algebraic expression d1 S1 NFE11 d2 S2 • QoC arithmetic expression

  8. BTooth1 NFE12 Zigbee1 Computational Model (..) • concatenation & pre-select element • algebraic expression NMBU11 • QoC arithmetic expression

  9. Computational Model (..) • End-to-End Freshness algebraic expression

  10. 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

  11. Computational Example • QoS values (illustration) • QoC results • three independently calculated QoC matrices • 4x4 matrices of ranked alternative E2E paths • Weighing Metrics • weighted quadratic norms

  12. 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

  13. 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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