Prediction of Atomic Web Services Reliability for QoS-Aware Recommendation

While constructing QoS-aware composite work-flows based on service oriented systems, it is necessary to assess nonfunctional properties of potential service selection candidates. In this paper, we present CLUS, a model for reliability prediction of atomic web services that estimates the reliability for an ongoing service invocation based on the data assembled from previous invocations. With the aim to improve the accuracy of the current state-of-the-art prediction models, we incorporate user-service-, and environment-specific parameters of the invocation context. To reduce the scalability issues present in the state-of-the-art approaches, we aggregate the past invocation data using K-means clustering algorithm. In order to evaluate different quality aspects of our model, we conducted experiments on services deployed in different regions of the Amazon cloud. The evaluation results confirm that our model produces more scalable and accurate predictions when compared to the current state-of-the-art approaches. To get this project in ONLINE or through TRAINING Sessions, Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email:, web: Blog:

  • Project Category : IEEE Projects
  • Project Year : 2015-2016
  • Department
  • B.E(Computer Science) , B.E(Information Technology), B.SC(CS), B.SC(IT), B.Tech, BCA, M.E(Computer Science), M.SC(CS), M.SC(IT), M.Tech, MCA,
  • Domain
  • Cloud Computing, Data Mining, Mobile Computing, Networking, Parallel and Distributed Systems, Secure Computing, Web Application,
  • Technology
  • J2EE, Java,
  • Avilable city
  • Ahmedabad, Bangalore, Chennai, Coimbatore, Delhi, Ernakulam, Hyderabad, Kolkata, Kozhikode, Madurai, Mumbai, Pondicherry, Pune, Salem, Thanjavur, Tirunelveli, Trichy, Vellore,


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