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A Novel Web Service Composition and Web Service Discovery based on Map Reduce Algorithm

Published on October 2014 by Shashank Shetty, Shalini P. R, Aditya Kumar Sinha
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International Conference on Information and Communication Technologies
Foundation of Computer Science USA
ICICT - Number 4
October 2014
Authors: Shashank Shetty, Shalini P. R, Aditya Kumar Sinha
5508d448-96ee-4aac-ae9f-344eb9766de5

Shashank Shetty, Shalini P. R, Aditya Kumar Sinha . A Novel Web Service Composition and Web Service Discovery based on Map Reduce Algorithm. International Conference on Information and Communication Technologies. ICICT, 4 (October 2014), 41-45.

@article{
author = { Shashank Shetty, Shalini P. R, Aditya Kumar Sinha },
title = { A Novel Web Service Composition and Web Service Discovery based on Map Reduce Algorithm },
journal = { International Conference on Information and Communication Technologies },
issue_date = { October 2014 },
volume = { ICICT },
number = { 4 },
month = { October },
year = { 2014 },
issn = 0975-8887,
pages = { 41-45 },
numpages = 5,
url = { /proceedings/icict/number4/17990-1445/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Information and Communication Technologies
%A Shashank Shetty
%A Shalini P. R
%A Aditya Kumar Sinha
%T A Novel Web Service Composition and Web Service Discovery based on Map Reduce Algorithm
%J International Conference on Information and Communication Technologies
%@ 0975-8887
%V ICICT
%N 4
%P 41-45
%D 2014
%I International Journal of Computer Applications
Abstract

The paper focuses on the web service composition and web service discovery based MapReduce algorithm, which is the one of the component of the big data problem resolver tool Hadoop. Many of the IT companies are currently in the journey to Service Oriented Architecture (SOA) with web service as the standard protocol for implementation. The overwhelming popularity of web service has made a huge impact on web service repository, because of which managing it using traditional UDDI platforms has become difficult. Integrating Hadoop ecosystem with web services can provide higher QoS to the user request for web services. Web service composition and Web service discovery plays a crucial role in the management of web service. Web service discovery involves locating or finding the exact individual web services from the service registry and retrieving previously published description for new web application. Web service composition is technique to combine simple web service to satisfy the user requirement. An efficient MapReduce algorithm can help in providing better management of web services

References
  1. Shashank Shetty, Shalini P. R, Aditya Kumar Sinha, "A Survey: The study and implementation of web services and managing it using Hadoop ecosystem, extending to web service selection", In Proc. National Conference on Multimedia and Information Security (NCMIS), 2014, pp. 73-78.
  2. Srinivasan, N. , Paolucci, M. , Sycara, K. P, "An Efficient Algorithm for OWL-S Based Semantic Search in UDDI", In: First International Workshop on. Semantic Web Services and Web Process Composition. , 2004, pp. 96-110.
  3. UDDI, UDDI V1 Technical White Paper, Sep. 2000, http://www. uddi. org.
  4. D. Box, et al. , Simple Object Access Protocol (SOAP) 1. 1, W3C, May 2000, http://www. w3. org/TR/SOAP/.
  5. E. Christensen, et al. , WSDL 1. 1. Mar. 2001, http://www. w3. org/TR/wsdl
  6. Web Services, 2002. http://www. w3c. org/2002/ws.
  7. Alonso, G. Casati, F. Kuno, H. Machiraju,V, "Web Services: Concepts, Architecture, and Applications", Springer, New York (ISBN: 3540440089), 2003.
  8. S. Weerawarana, F. Curbera, "Business Process with BPEL4WS: Understanding BPEL4WS, Part 1", IBM corporation, 2002, pp. 1-8.
  9. DAML-S, http://www. daml. org/services/daml-s/0. 7/, 2002.
  10. N. Gholamzadeh, F. Taghiyareh, "Ontology-based Fuzzy Web Services Clustering", 5th International Symposium on Telecommunications, 2010, pp. 721-725.
  11. Binding point, http://www. bindingpoint. com/.
  12. Grandcentral, http://www. grandcentral. com/directory/.
  13. Web service list, http://www. webservicelist. com/.
  14. X. Dong, A. Halevy, J. Madhavan, E. Nemes, and J. Zhang, "Similarity search for web services," in Proceedings of the Thirtieth international conference on Very large data bases-Volume 30. VLDB Endowment, 2004, pp. 372-383.
  15. Y. Zhang, Z. Zheng, M R. Lyu, "WSExpress: A QoS-aware search engine for Web services", in Proceedings of 2010 IEEE 8th International Conference on Web Services, ICWS 2010, July 5, 2010 - July 10, 2010, pp. 91-98
  16. U. Bellur, R. Kulkarni, " Improved Matchmaking Algorithm for Semantic Web Services Based on Bipartite Graph Matching", IEEE International Conference on Web Services, 2007, pp. 86-93.
  17. Zhu, X. L. , Wang, B, "Web service management based on Hadoop", Proceedings of 8th International Conference on Service Systems and Service Management, ICSSSM'11, June 25, 2011 - June 27, 2011, pp. 1-6.
  18. JAVA 1. 6, http:// www. oracle. com/technetwork/java/javase/downloads/java-archive-downloads-javase6-419409. html.
  19. Eclipse Europa 3. 3. 2, http:// www. eclipse. org/downloads/packages/eclipse-ide-java-developers/europawinter.
  20. Cygwin, http://www. cygwin. com.
  21. Hadoop 0. 20. 1, http://archive. apache. org/dist/hadoop/core/hadoop-0. 20. 1/.
  22. Hadoop Eclipse Plugin, http://code. google. com/p/hadoop-eclipse-plugin/downloads/detail?name=hadoop-0. 20. 1-eclipse-plugin. jar&can=2&q=.
  23. Zookeeper, http://archive. apache. org/dist/hadoop/zookeeper/zookeeper-3. 3. 1/.
  24. HBASE, http://archive. apache. org/dist/hbase/hbase-0. 20. 6/.
  25. H. Wang, Haihong E, Xiulan Kong, "The Intelligent Hadoop-based Book Management System", 6th international conference on Pervasive Computing and applications (ICPCA), 2011, pp. 202-207.
  26. Tom white. , "Hadoop: The Definitive guide".
  27. Jeffrey Dean, Sanjay Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters", Magazine communication of the ACM- 50th anniversary issue:1958, January 2008, pp. 107-113.
  28. H. Wang, Haihong E, Xiulan Kong, "The Intelligent Hadoop-based Book Management System", 6th international conference on Pervasive Computing and applications (ICPCA), 2011, pp. 202-207.
  29. HBASE, http://Hadoop. Apache. org/HBASE/
  30. Mehul Nalin Vora, "Hadoop-HBASE for Large-Scale Data", 2011 International Conference on Computer Science and Network Technology (ICCSNIT), 2011, pp. 601-605.
  31. C. Franke, S. Morin, A. Chebotko , J. Abraham, P. Brazier "Distributed Semantic Web Data Management in HBase and MySQL Cluster", IEEE International Conference on Cloud Computing (CLOUD), 2011, pp. 105-112
  32. Apache ZooKeeper, http://zookeeper. Apache. org/
  33. Web Service data set, http://www. kde. cs. uni-kassel. de/ws/rsdc08/dataset. html
Index Terms

Computer Science
Information Sciences

Keywords

Web Service Web Service Discovery Hadoop Map Reduce Web Service Management Web Service Composition Big Data