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End To End Monitoring In Oracle Fusion Middleware For Data Verification

Authors: Kashif Ali, Usman Javaid;

End To End Monitoring In Oracle Fusion Middleware For Data Verification

Abstract

{"references": ["[1]\thttp://docs.oracle.com/cd/E14571_01/core.1111/e10103/intro.htm#BABEICDD", "[2]\t[Eugen Vasilescu, Seong K. Mun, \"Service Oriented Architecture (SOA) Implications for Large Scale Distributed Health Care Enterprises,\" Proceedings of the 1st Distributed Diagnosis and Home Healthcare (D2H2) Conference Arlington, Virginia, USA, April 2-4, 2006.", "[3]\tPhilipp Leitner, \"Monitoring, Prediction and Prevention of SLA Violations in Composite Services,\" in IEEE International Conference on Web Services, 2010.", "[4]\tZain Balfagih, \"Agent based Monitoring Framework for SOA Applications Quality,\" in IEEE, 2010.", "[5]\thttp://www01.ibm.com/software/info/websphere/partners4/articles/gartner/garwho.html", "[6]\tMarina Mongiello, Daniela Castelluccia, \"Modeling and verification of BPEL business processes,\" in Proceedings of the Fourth Workshop on Model-Based Development of Computer-Based Systems, 2006.", "[7]\thttp://www.oracle.com/technetwork/middleware/bpel/overview/index.html"]}

In large enterprises multiple departments use different sort of information systems and databases according to their needs. These systems are independent and heterogeneous in nature and sharing information or data between these systems is not an easy task. The usage of middleware technologies have made data sharing between systems very easy. However monitoring the exchange of data or information for verification purposes between target and source systems is often complex or impossible for maintenance department due to security or access privileges on target and source systems. In this paper, we are intended to present our experience of an end to end data monitoring approach at middleware level implemented in Oracle BPEL for data verification without any help of monitoring tool.

Keywords

BPEL, Oracle Fusion Middle ware, SOA, SLA, QoS.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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