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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2015 Vol.3(4): 299-302 ISSN: 2301-3559
DOI: 10.7763/LNSE.2015.V3.208

Keyword-Based Service Matching in a Cloud Environment Using Nature-Inspired Swarm Intelligence

Carsten Mueller and Niklas Kiehne
Abstract—In services computing, service discovery is an important activity to search the pertinent service to the client's requirement. With increasing keywords the search space grows above average and brute force is an inappropriate approach. A cloud service provider requires a flexible and an easy to use application. This practical research presented in this paper combines an intelligent solution based on nature-inspired swarm intelligence for keyword-based service matching with an innovative and user-friendly graphical user interface. Finding optimum parameter settings is a time-consuming and difficult task. Objective of the integrated Parameter Recommender is the determination of optimum values for the applied heuristic.

Index Terms—Dynamic service composition, keyword matching, ant colony optimization, parameter recommendation.

The authors are with Baden-Wuerttemberg Cooperative State University, Germany (e-mail: carsten.mueller@itg-research.net).


Cite: Carsten Mueller and Niklas Kiehne, "Keyword-Based Service Matching in a Cloud Environment Using Nature-Inspired Swarm Intelligence," Lecture Notes on Software Engineering vol. 3, no. 4, pp. 299-302, 2015.

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