Pervasive service computing

Pervasive Service Computing
-Vision, Concepts, Architecture and Prototypes
Jiehan Zhou, JukkaRiekki, Mika Ylianttila
MediaTeam and Intelligent System Group
Univ. of Oulu
firstname.surname@ee.oulu.fi
2/3/2010
PSC presentation@Motive workshop, Espoo

Pervasive Service Computing–A Solution Based on Web Services (PSC)
2/3/2010
Hewlett Packard: Cooltown
IBM-Web-based services
Karlsruhe: Cups and Smart-Its
Univ. Tokyo - T-Engine/ ITRON
10/21/2009
MIT -Wearable Computing
UC Berkeley: InfoPad
Georgia Tech’s Aware Home
Georgia Tech:
Living Laboratories

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 vision
2/3/2010

Time frame: 1/2009 – 12/2011
Funding amount: 400KEuro by Academy of Finland
International Consortium
China: Shanghai Jiaotong University
Finland: University of Oulu –ISG and MediaTeam
Scientific leaders
Finland: Prof. JukkaRiekki, Prof. Mika Ylianttila
China: Prof. Minyi Guo
Manager: Jiehan Zhou
6 Researchers in Finland
Website: http://www.mediateam.oulu.fi/projects/psc/?lang=en
Facts about PSC-Oulu
2/3/2010

PSC-Oulu objectives
2/3/2010
To research and develop a pervasive service computing model and a description language
To research and develop a service collaboration framework to strengthen the capability of collaboration in a pervasive computing environment
To research and develop a service coordination framework to strengthen the capability of coordination in a pervasive computing environment

Conceptualization –service collaboration and coordination
2/3/2010
Four solutions for automating a generic user activity
Solution 1: Seek a service composition consisting of a set of services within one party for achieving the travel reservation goal.
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
Solution 3: Seek a service composition consisting of a set of services among multiple partiesfor achieving the travel reservation goal
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, etc
A generic user
activity scenario

PSC-Reference Model
2/3/2010

Context-aware PSC architecture
2/3/2010

2/3/2010
the user
CAM4Home Media Info Extractor Service
1.
client web application
4.
8.
face detection service
5.
2.
3.
CAM4Home People Detector service
BPEL service composition
reasoning engine
6.
utility web services
For each-loop
for service
composition
7.
PSC prototype – Multimedia Service Composition
smiley service
music service
event service

User Interface - Multimedia Service Composition
2/3/2010
http://psc.virtues.fi/IRSClient/

Journal and conference articles
3 submitted journal papers and 7+ IEEE and ACM conference papers
3 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, China
PSC - dissemination
2/3/2010

Conclusion
2/3/2010
PSC presentation @ Motive workshop, Espoo
PSC vision
PSC facts
PSC conceptualization
PSC architecture and prototype
PSC publication status

Pervasive service computing

by Iiro Jantunen on Feb 09, 2010

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Pervasive service computing — Presentation Transcript