Pervasive service computing
- 1. Pervasive Service Computing-Vision, Concepts, Architecture and PrototypesJiehan Zhou, JukkaRiekki, Mika YlianttilaMediaTeam and Intelligent System GroupUniv. of Oulufirstname.surname@ee.oulu.fi2/3/2010PSC presentation@Motive workshop, Espoo
- 2. Pervasive Service Computing–A Solution Based on Web Services (PSC) 2/3/2010PSC presentation@Motive workshop, EspooHewlett Packard: CooltownIBM-Web-based servicesKarlsruhe: Cups and Smart-ItsUniv. Tokyo - T-Engine/ ITRON 10/21/2009MIT -Wearable ComputingUC Berkeley: InfoPadGeorgia Tech’s Aware HomeGeorgia Tech: Living Laboratories
- 3. PSC aims to incorporate emerging Web services into ubiquitous computing for facilitating people daily individual-based and group-based activities, respectively supported by service collaboration and service coordination.PSC vision2/3/2010PSC presentation@Motive workshop, Espoo
- 4. Time frame: 1/2009 – 12/2011Funding amount: 400KEuro by Academy of FinlandInternational ConsortiumChina: Shanghai Jiaotong UniversityFinland: University of Oulu –ISG and MediaTeamScientific leadersFinland: Prof. JukkaRiekki, Prof. Mika YlianttilaChina: Prof. Minyi GuoManager: Jiehan Zhou6 Researchers in FinlandWebsite: http://www.mediateam.oulu.fi/projects/psc/?lang=enFacts about PSC-Oulu 2/3/2010PSC presentation@Motive workshop, Espoo
- 5. PSC-Oulu objectives2/3/2010PSC presentation@Motive workshop, EspooTo research and develop a pervasive service computing model and a description languageTo research and develop a service collaboration framework to strengthen the capability of collaboration in a pervasive computing environmentTo research and develop a service coordination framework to strengthen the capability of coordination in a pervasive computing environment
- 6. Conceptualization –service collaboration and coordination 2/3/2010PSC presentation@Motive workshop, EspooFour solutions for automating a generic user activity
- 7. Solution 1: Seek a service composition consisting of a set of services within one party for achieving the travel reservation goal.
- 8. Solution 2: Seek an optimal service composition consisting of a set of services within one party for achieving the travel reservation goal taking into account constrains of service properties of cost, time, etc
- 9. Solution 3: Seek a service composition consisting of a set of services among multiple partiesfor achieving the travel reservation goal
- 10. Solution 4: Seek an optimal service composition consisting of a set of services among multiple parties for achieving the travel reservation goal taking into account constrains of service properties of cost, time, etcA generic useractivity scenario
- 11. PSC-Reference Model2/3/2010PSC presentation@Motive workshop, Espoo
- 12. Context-aware PSC architecture2/3/2010PSC presentation@Motive workshop, Espoo
- 13. 2/3/2010the userCAM4Home Media Info Extractor Service1.client web application4.8.face detection service5.2.3.CAM4Home People Detector serviceBPEL service compositionreasoning engine6.utility web servicesFor each-loop for service composition7.PSC prototype – Multimedia Service Compositionsmiley servicemusic serviceevent servicePSC presentation@Motive workshop, Espoo
- 14. User Interface - Multimedia Service Composition2/3/2010PSC presentation@Motive workshop, Espoohttp://psc.virtues.fi/IRSClient/
- 15. Journal and conference articles 3 submitted journal papers and 7+ IEEE and ACM conference papers3 book chapters (Wiley and IGI Global)2 workshops SCCM 2009 in ICWS 2009, July 6-10, 2009, Los Angeles, California, USA PSCA 2009 in FCST 2009, December 17-19, 2009, Shanghai, ChinaPSC - dissemination2/3/2010PSC presentation@Motive workshop, Espoo
- 16. Conclusion2/3/2010PSC presentation @ Motive workshop, EspooPSC visionPSC factsPSC conceptualizationPSC architecture and prototypePSC publication status