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HBSD: A Hadoop Based Service Discovery Model for Enterprise Cloud Bus

Author

Listed:
  • Gitosree Khan

    (B. P. Poddar Institute of Management and Technology, Kolkata, India)

  • Anirban Sarkar

    (National Institute of Technology, Durgapur, India)

  • Sabnam Sengupta

    (B. P. Poddar Institute of Management and Technology, Kolkata, India)

Abstract

Enterprise cloud bus (ECBS) is a multi-agent-based abstraction layer framework, responsible for publishing and discovery of services in an Inter-cloud environment. Our work focuses on the service discovery model (HBSD) using Hadoop that leads to the challenges of automatic web service discovery patterns. It has been observed that the RDBMS can handle only data sizes up to a few Terabytes but fails to scale beyond that, so Apache Hadoop can be used for parallel processing of massive datasets. This article provides a novel Hadoop based Service Discovery (HBSD) approach that can handle vast amount of datasets generated from heterogeneous cloud services. The novelty of the proposed architecture coordinates cloud participants, automate service registration pattern, reconfigure discover services and focus on aggregating heterogeneous services from Inter-cloud environments. Moreover, this particle states a novel and efficient algorithm (HBSDMCA) for finding the appropriate service as per user's requirements that can provide higher QoS to the user request for web services.

Suggested Citation

  • Gitosree Khan & Anirban Sarkar & Sabnam Sengupta, 2019. "HBSD: A Hadoop Based Service Discovery Model for Enterprise Cloud Bus," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 14(3), pages 37-63, July.
    • Handle: RePEc:igg:jitwe0:v:14:y:2019:i:3:p:37-63
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