research-article

Adaptable service composition for very-large-scale internet of things systems

Authors:

Amirhosein Taherkordi,

Frank EliassenAuthors Info & Claims

MDS '11: Proceedings of the 8th Middleware Doctoral Symposium

Article No.: 2, Pages 1 - 6

https://doi.org/10.1145/2093190.2093192

Published: 12 December 2011 Publication History

Abstract

Internet of Things (IoT) is considered as a future paradigm whose main challenge is to give an IP based transparent access to the huge number of services available as IoT resources. Due to the large number of resource-constrained devices and the dynamic nature of IoT environments, this integration problem becomes more intricate. The current state-of-the-art is mostly focused on the integration of IP enabled smart objects on the basis of Service Oriented Architecture (SOA) and the Representational State Transfer (REST) architectural style. However, beyond these approaches, we intend to address the flexible and adaptive composition of services in Very Large Scale (VLS) IoT systems by exploiting the concepts of service orchestration and choreography. In particular, we present an architectural model that enables efficient integration of services by locally orchestrating distributed web-enabled services in VLS IoT systems and globally choreographing Web-based applications.

References

[1]

BPEL4Chor: BPEL for Choreography. http://www.bpel4chor.org.

[2]

Business Process Execution Language. http://www.ibm.com/developerworks/library/specification/ws-bpel.

[3]

Business Process Model and Notations. http://www.omg.org/spec/BPMN/2.0.

[4]

Constrained Application Protocol. http://tools.ietf.org/html/draft-shelby-6lowapp-coap-00#page-3.

[5]

EasyBPEL: An Orchestration Execution Engine. http://research.petalslink.org/display/easybpel/EasyBPEL+Overview.

[6]

Large Scale Choreographies for the Futute Internet. http://www.choreos.eu.

[7]

NEXOF-RA: Deliverable D 10.1, Requirements Report. IST-FP7-216446, March 2009.

[8]

OASIS: Device Profile for Web Services. http://docs.oasis-open.org/ws-dd/ns/dpws/2009/01.

[9]

Senslab: A Very Large Scale Open Wireless Sensor Network Testbed. http://www.senslab.info.

[10]

The Contiki OS. http://www.sics.se/contiki.

[11]

The Wireless Embedded Internet: 6lowPAN. http://6lowpan.net.

[12]

WS-CDL+: A Choreography Execution Engine. http://wscomposition.seu.edu.cn.

[13]

WS4D: Web Services for Devices. http://ws4d.org.

[14]

E. Avilés-López and J. García-Macías. Tinysoa: a service-oriented architecture for wireless sensor networks. Service Oriented Computing and Applications, 3:99--108, 2009.

[15]

L. Cavallaro, E. Di Nitto, C. Furia, and M. Pradella. A tile-based approach for self-assembling service compositions. In 15th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS), pages 43--52, march 2010.

Digital Library

[16]

V. Issarny, N. Georgantas, S. Hachem, A. Zarras, P. Vassiliadist, M. Autili, M. Gerosa, and A. Hamida. Service-oriented middleware for the future internet: state of the art and research directions. Journal of Internet Services and Applications, 2:23--45, 2011.

[17]

T. Luckenbach, P. Gober, S. Arbanowski, A. Kotsopoulos, and K. Kim. Tinyrest - a protocol for integrating sensor networks into the internet. In in Proc. of REALWSN, 2005.

[18]

G. Oliva, F. Hatori, L. Leite, and M. Gerosa. Web Services Choreographies Adaptation: A Systematic Review. Technical report.

[19]

N. B. Priyantha, A. Kansal, M. Goraczko, and F. Zhao. Tiny web services: design and implementation of interoperable and evolvable sensor networks. In Proceedings of the 6th ACM conference on Embedded network sensor systems, SenSys '08, pages 253--266, 2008.

Digital Library

[20]

L. Seinturier, P. Merle, R. Rouvoy, D. Romero, V. Schiavoni, and J.-B. Stefani. A Component-Based Middleware Platform for Reconfigurable Service-Oriented Architectures. Software: Practice and Experience, 2011.

Digital Library

[21]

A. Taherkordi, F. Loiret, R. Rouvoy, and F. Eliassen. A generic component-based approach for programming, composing and tuning sensor software. The Computer Journal, 2011.

Digital Library

[22]

L. Yang, Y. Dai, and B. Zhang. Performance prediction based ex-qos driven approach for adaptive service composition. J. Inf. Sci. Eng.

[23]

D. Yazar and A. Dunkels. Efficient application integration in ip-based sensor networks. In Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, BuildSys '09, pages 43--48, 2009.

Digital Library

Cited By

Mishra SSarkar A(2023)Quality Evaluation for Large Scale Service-Oriented Architecture2023 IEEE 20th India Council International Conference (INDICON)10.1109/INDICON59947.2023.10440848(61-66)Online publication date: 14-Dec-2023
https://doi.org/10.1109/INDICON59947.2023.10440848
Filippone GPompilio CAutili MTivoli M(2022)An architectural style for scalable choreography-based microservice-oriented distributed systemsComputing10.1007/s00607-022-01139-5105:9(1933-1956)Online publication date: 10-Dec-2022
https://doi.org/10.1007/s00607-022-01139-5
Nasiriasayesh HYari ANazemi E(2021)Adaptive IWD-based algorithm for deployment of business processes into cloud federationsInternational Journal of Pervasive Computing and Communications10.1108/IJPCC-10-2020-015919:1(54-73)Online publication date: 17-May-2021
https://doi.org/10.1108/IJPCC-10-2020-0159
Show More Cited By

Index Terms

Adaptable service composition for very-large-scale internet of things systems
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Organizing principles for web applications

Recommendations

Adaptable service composition for very-large-scale Internet of Things systems
PDT '11: Proceedings of the Workshop on Posters and Demos Track

The (future) Internet of Things (IoT), with service composition point of view, raises additional challenges especially with respect to handling the scale, dynamicity and heterogeneity of the target networking environment. Therefore, the services offered ...
Service composition approaches for internet of things: a review

The internet of things (IoT) is the integration of information space and physical space, becoming more and more popular in several places. In order to answer the complicated user request, most IoT devices do not work alone, a multiple service composition ...
Adaptable Service Composition for Intelligent Logistics: A Middleware Approach
CCBD '14: Proceedings of the 2014 International Conference on Cloud Computing and Big Data

Recent years have witnessed a rapid growth in using Internet of Things (IoT), which facilitates and simultaneously raises challenges for the intelligent logistics. The real-world devices can provide their functionality as Web services. However, because ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

MDS '11: Proceedings of the 8th Middleware Doctoral Symposium

December 2011

40 pages

ISBN:9781450310727

DOI:10.1145/2093190

General Chair:
David Eyers
University of Otago, New Zealand

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Professional
USENIX Assoc: USENIX Assoc
IFIP

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 December 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

Middleware '11

Sponsor:

USENIX Assoc

Middleware '11: 12th International Middleware Conference

December 12, 2011

Lisbon, Portugal

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

14
Total Citations
View Citations
898
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)0

Reflects downloads up to 03 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Mishra SSarkar A(2023)Quality Evaluation for Large Scale Service-Oriented Architecture2023 IEEE 20th India Council International Conference (INDICON)10.1109/INDICON59947.2023.10440848(61-66)Online publication date: 14-Dec-2023
https://doi.org/10.1109/INDICON59947.2023.10440848
Filippone GPompilio CAutili MTivoli M(2022)An architectural style for scalable choreography-based microservice-oriented distributed systemsComputing10.1007/s00607-022-01139-5105:9(1933-1956)Online publication date: 10-Dec-2022
https://doi.org/10.1007/s00607-022-01139-5
Nasiriasayesh HYari ANazemi E(2021)Adaptive IWD-based algorithm for deployment of business processes into cloud federationsInternational Journal of Pervasive Computing and Communications10.1108/IJPCC-10-2020-015919:1(54-73)Online publication date: 17-May-2021
https://doi.org/10.1108/IJPCC-10-2020-0159
Hamdan SAyyash MAlmajali S(2020)Edge-Computing Architectures for Internet of Things Applications: A SurveySensors10.3390/s2022644120:22(6441)Online publication date: 11-Nov-2020
https://doi.org/10.3390/s20226441
Alkhabbas FDe Sanctis MSpalazzese RBucchiarone ADavidsson PMarconi A(2018)Enacting Emergent Configurations in the IoT Through Domain ObjectsService-Oriented Computing10.1007/978-3-030-03596-9_19(279-294)Online publication date: 7-Nov-2018
https://doi.org/10.1007/978-3-030-03596-9_19
Alkhabbas FSpalazzese RDavidsson P(2018)ECo-IoT: An Architectural Approach for Realizing Emergent Configurations in the Internet of ThingsSoftware Architecture10.1007/978-3-030-00761-4_6(86-102)Online publication date: 15-Sep-2018
https://doi.org/10.1007/978-3-030-00761-4_6
Boulakbech MMessai NSam Ydevogele THammoudeh M(2017)IoT MashupsProceedings of the International Conference on Future Networks and Distributed Systems10.1145/3102304.3102324Online publication date: 19-Jul-2017
https://dl.acm.org/doi/10.1145/3102304.3102324
Taherkordi AEliassen FHorn GShin SShin DLencastre M(2017)From IoT big data to IoT big servicesProceedings of the Symposium on Applied Computing10.1145/3019612.3019700(485-491)Online publication date: 3-Apr-2017
https://dl.acm.org/doi/10.1145/3019612.3019700
Taušan NMarkkula JKuvaja POivo M(2017)Choreography in the embedded systems domainInformation and Software Technology10.1016/j.infsof.2017.06.00891:C(82-101)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1016/j.infsof.2017.06.008
Ebrahimi MShafieiBavani EWong RFong SFiaidhi J(2017)An adaptive meta-heuristic search for the internet of thingsFuture Generation Computer Systems10.1016/j.future.2015.12.00676:C(486-494)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1016/j.future.2015.12.006
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten