Original scientific paper

CAMEP - Complex business activity monitoring system with event processing

Govindasamy Vaiyapuri ; Department of Computer Science and Engineering, Pondicherry Engineering College, Pondicherry 605014, India
Thambidurai Perumal ; Perunthalaivar Kamarajar Institute of Engineering and Technology, Karaikal, India

Abstract

In today’s world, complex global business environment is in a state of continuous change. Therefore, business organizations are looking for an innovative way to optimize and to support the performance of their business processes to meet out their market share in order to maintain a competitive edge. Usually, business processes are monitored in near real-time using Key Performance Indicators (KPI). KPI is in turn calculated from metrics from business processes. In the case of business outsourcing, the KPI calculation from the metrics of business process is to be carried out cutting across the inter-organizations boundaries and spanning multiple domains. This process poses several challenges in the computation of the KPIs. Some of these challenges include uncertainty in metric values, just-in-time KPI computation and scalability. To address the above challenges of business organizations, a four-tier Complex business Activity Monitoring system with Event Processing (CAMEP) is proposed. The performance evaluation of the proposed system is performed to demonstrate the effectiveness of the proposed CAMEP method by comparing with the existing BAM approaches. The proposed CAMEP is also analysed using the ANOVA and T test.

Keywords

Bitmap Indexing and Data Imputation; Business Activity Monitoring; Complex Event Processing; Event Filtering; Heterogeneous Domain; Key Performance Indicators

Hrčak ID:

109791

URI

https://hrcak.srce.hr/109791

Publication date:

25.10.2013.

Article data in other languages: croatian

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