CPS Track: Summary Report

Zhangbing Zhou1,2, Walid Gaaloul2, Jianwei Niu3

1 China University of Geosciences (Beijing), China2 Institut Mines-TELECOM / TELECOM SudParis, France

3 Beihang University, ChinaEmail: zbzhou@cugb.edu.cn, walid.gaaloul@it-sudparis.eu, niujianwei@buaa.edu.cn

Abstract

Cyber Physical Society (CPS) is regarded as a future in-terconnection environment. It connects nature, cyber spaceand society under certain rules. In this track report wepresent our vision about how to achieve CPS through com-bining the best practices developed in related areas, andsummarizes the achievement of our CPS track.

We notice that servicelization is the way of defining in-terfaces for resource sharing. Everything as a service iscreating a Big Services era. How to assess the compositioncompatibility of ubiquitous services effectively and how todiscover and recommend ubiquitous services with respectto users’ specific requirements are the research challenges.This should be the focus of our track in the future.

1 Introduction to CPS Track

Nowadays sensing devices are becoming cheaper in cost,

and stronger in computation, communication, and storage

capabilities. Computing is to be embedded in all types of

physical equipments, and applications with big societal im-

pact and economic benefit will be created in time and across

spaces. In this setting, cyber physical society (CPS) studies

not only the cyber space and the physical space, but also

humans, knowledge, society and culture. CPS is regarded

as a future coordination and collaboration environment that

connects nature, cyber space, society with certain rules. [5].

While the cyber physical society describes the future

environment of collaboration, service oriented architecture

(SOA) and business process management (BPM) are coined

to specify how the computational resources can coordinate

and collaborate, and (wireless) sensor networks (SNs) pro-

vide means to sensing the physical resources and intercon-

necting physical and cyber resources. Leveraging existing

techniques (SOA, BPM, and SNs etc) for achieving the vi-

sion of cyber physical society is promising. How the inter-

action is to be conducted within one space or across multi-

ple spaces is a problem to be probed [2]. The core scientific

problems include the scalability, heterogeneity, integration,

security, and the dynamics of the underlying infrastructures.

The data management, as well as the semantic interoper-

ability, in the cyber physical society is also posing a great

challenge [4]. It is our pleasure to bring the track on ”Cyber

Physical Society with SOA, BPM and Sensor Networks”,

which provides the scientific community a dedicated forum

for discussing research, development, and deployment ef-

forts in achieving the vision of cyber physical society by

means of current techniques.

2 Papers Summary

This track is consisted of two carefully chosen peer-

reviewed articles that cover the main focus of the track. De-

tailed description of these articles is as follows:

• In the article “A New Frame Packing Strategy forAvionics Applications”, in order to guarantee an ef-

ficient bandwidth utilization for avionics applica-

tions, F. Charoy et. al. introduce an optimized

frame packing gateway for an heterogeneous avion-

ics communication-architecture based on AFDX back-

bone network and sensors/actuators CAN buses. The

CAN-AFDX gateway developed implements a static

frame packing strategy, for defining the data messages

set packed in each frame transmitted by the gateway

on target network.

• In the article “A High-Level Service CompositionModel for Building Applications on Sensor Networks”,

Z. Movahedi et. al. provide a high-level environ-

ment based on a three levels model to program the in-

frastructure for sensor networks. At the lower level,

sensors and actuators are encapsulated by lightweight

web services, accessible through gateways. On top of

this layer, abstract blocks describe sensors and actu-

ators as abstract building blocks incorporating a se-

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mantic description. Finally, these blocks are orches-

trated as abstract graphs describing complex applica-

tions. This environment has been prototyped using ser-

vice standards within the context of the VITRO Euro-

pean project and validated by several use cases.

3 Conclusion

These articles suggest that cyber physical society, as the

future coordination and collaboration environment, can cer-

tainly be benefited from current collaboration techniques in

order to achieve its ambitious goal. This track can be re-

garded as an initial step of exploring this challenge.

We notice that servicelization is the way of defining in-

terfaces for resource sharing [1]. Everything as a service

is creating a Big Services era. Besides Web services, ser-

vices deployed ubiquitously on sensing devices, embedded

equipments are also accessible through the Internet. Conse-

quently, the Internet is becoming the pool of ubiquitous ser-

vices in the styles of SOAP, REST, DPWS etc. In this set-

ting, how to assess the composition compatibility of ubiq-

uitous services effectively and how to discover and recom-

mend ubiquitous services with respect to users’ specific re-

quirements are the research challenges [3]. This should be

the focus of our track in the following.

Finally, we would like to express our gratitude to the re-

viewers who provided the authors with timely and construc-

tive feedbacks. We thank all authors who have submitted

their manuscripts for consideration to this track. Last but

not the least, we thank the organizers and the steering com-

mittee members of the Wetice 2013 Conference for provid-

ing us this opportunity to organize this track.

References

[1] L.-J. Zhang. Editorial: Big services era: Global trends of

cloud computing and big data. IEEE Transactions on ServicesComputing, 5(4):467–468, 2012.

[2] Z. Zhou, S. Bhiri, H. Zhuge, and W. Gaaloul. Service proto-

col adaptability assessment based on novel walk computation.

IEEE Transactions on Systems Man and Cybernetics, Part A:Systems and Humans, 42(5):1109–1140, 2012.

[3] Z. Zhou, W. Gaaloul, L. Shu, S. Tata, and S. Bhiri. Assessing

the replaceability of service protocols in mediated service in-

teractions. Future Generation Computer Systems, 29(1):287–

299, 2013.[4] Z. Zhou, M. Sellami, W. Gaaloul, M. Barhamgi, and B. De-

fude. Data providing services clustering and management

for facilitating service discovery and replacement. IEEETransactions on Automation Science and Engineering, DOI:10.1109/TASE.2012.2237551, 2013.

[5] H. Zhuge. Semantic linking through spaces for cyber-

physical-socio intelligence: A methodology. Artificial Intelli-gence, 175(5-6):988–1019, 2011.

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