An Intelligent Data Service Framework for Heterogeneous Data Sources

Fakhri Alam Khan*, Mujeeb ur Rehman, Afsheen Khalid, Muhammad Ali, Muhammad Imran, Muhammad Nawaz, Attaur Rahman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


Heterogeneous data on distributed computing sources are growing day by day. To manage the data from the distributed sources into a distinct type of application like mobile, cloud, desktop, web etc. is a challenging issue in the global information systems, particularly for cooperation and interoperability. This paper proposes a Data Service Framework, which integrates the data from distributed sources such as databases, Simple Object Access Protocol (SOAP) based web services and flat files, and performs create, read, update and delete (CRUD) operations on it through Representational State Transfer (REST) services over the Hyper Text Transfer Protocol (HTTP). The proposed data service framework also supports java database connectivity (JDBC). Detailed description of the proposed framework and experimental results are reported in this paper.

Original languageEnglish
Pages (from-to)577-589
Number of pages13
JournalJournal of Grid Computing
Issue number3
StatePublished - 1 Sep 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018, Springer Science+Business Media B.V., part of Springer Nature.


  • Components and connecters
  • Database virtualization
  • RESTful service
  • Simple object access protocol (SOAP)
  • Software architecture

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications


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