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Classification of SOA-Based Cloud Services Using Data Mining Technique

  • Zeenat ParweenEmail author
  • R. B. S. Yadav
Conference paper
  • 21 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1154)

Abstract

Cloud computing model fulfills storage and computation requirements of users in the form of services that are based on Service-Oriented Architecture (SOA). Services in cloud computing are offered with different quality attributes such as flexibility, mobility, adaptation, migration, etc. In recent years, cloud computing has grown at a very fast pace offering a huge number of cloud services with various quality attributes but it still faces some issues. One of them is that there is a lack of approach which can classify a cloud service based on its quality attributes for the cloud users. In this paper, a new approach is presented to classify cloud services using data mining “Bayesian classification” technique. The proposed approach is evaluated empirically via experiments that are performed on cloud-based data set containing data for 20 services, where each service having ten quality attributes. Results show that the proposed approach successfully classifies the cloud service in one of three classes (best, good, and satisfactory). Further, the proposed research will help the users in selecting the services as per their desired class.

Keywords

Service-oriented architecture Cloud Data mining Classification Quality 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Computer Science and MathematicsMagadh UniversityBodh GayaIndia

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