The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


This study proposes a hierarchical model of a Service-Based System (SBS) based to represent horizontal and vertical dependencies within a SBS. In order to detect ischolar_main-causes and conduct impact-analysis of anomalies occurring in a SBS, we represent the SBS as a multi-layer system consisting of Business Process Management (BPM) layer, Service Composition and Coordination (SCC) layer and Service Infrastructure (SI) layer using Hypergraphs. The intra-layer and inter-layer relationships are depicted by hyperedges that effectively depicts n-ary relationships which are not possible with simple graphs. Using hypergraphs and hyperedges we have effectively represented intra-layer horizontal time dependencies and inter-layer vertical time and resource dependencies. Horizontal time dependencies help us to analyse the impact of a time delay on related entities of the same layer. Vertical resource dependencies help in ischolar_main-cause analysis of the time delay. Vertical time dependencies aid in finding the impact of service delay on activities of the business layer. Our approach based on hypergraph helps to model relationships of a SBS from multiple perspectives using hyperedges. The proposed approach meticulously represents various vertical and horizontal dependencies between elements of a SBS and can be effectively utilised to identify ischolar_main-cause of an anomaly and its impact on related entities of a hierarchical SBS.

Keywords

Dependency, Hierarchical Service-Based System, Impact-Analysis, Multi-Level Hypergraphs, Root-Cause Analysis.
User