Enterprise Tomography Driven Root-Cause-Analysis and Integration Lifecycle Management of Federated ERP in Green Clouds

Author:

Aalmink Jan1,Gómez Jorge Marx1

Affiliation:

1. Carl von Ossietzky Universität Oldenburg, Germany

Abstract

Cloud Computing is finding its way into the architecture of current IT landscapes. The present chapter depicts the challenges of the required changes and transitions of Enterprise Data Centers from non-integrated on-premise solutions towards fully integrated on-demand systems in silo-free clouds. Cloud standardization in the context of the Open Cloud Manifesto is discussed as well as a reference model based upon semantic composition and federation (Federated ERP Systems and Corporate Environmental Information Management Systems CEMIS 2.0). How Enterprise Tomography can support the governance process is described as the Root-Cause-Analysis procedure and Integration Lifecycle Management of an Enterprise Cloud and by comparing different system states. On the basis of an operator-based approach, Root-Cause-Analysis and data integrity can be ensured. Finally, an outlook on an approach involving environmental aspects (Green Clouds) is given.

Publisher

IGI Global

Reference21 articles.

1. Aalmink, J., & Marx Gómez, J. (2009). Enterprise Tomography - an efficient approach for semi-automatic localization of integration concepts in VLBAs. In (Ed) Cruz-Cunha, M. M., Social, Managerial and Organizational Dimensions of Enterprise Information Systems, Hershey, PA: IGI Global ISBN: 978-1-60566-856-7.

2. Aalmink, J., & Marx Gómez, J. (2011). Enterprise Tomography - an efficient Application Lifecycle Management approach supporting semiautomatic localization, delta-tracking and visualization of Integration Ontologies in VLBAs. In (Ed.) Kumar, S., Bendoly, E., Esteves, J., Frontiers of Research in Enterprise Systems. SAGE.

3. Abels, S., Haak, L., & Hahn, A. (2005). Identification of common methods used for ontology integration tasks. Interoperability Of Heterogeneous Information Systems. In Proceedings of the first international workshop on Interoperability of heterogeneous information systems, (pp. 75-78) Bremen, Germany. ACM.

4. Bader, D. A., Kintali, S., Madduri, K., & Mihail, M. (2007). Approximating Betweeness Centrality. In (Eds) Bonato A, Chung F R K.: Algorithms and Models for the Web Graph, 5.th International Workshop WAW 2007, San Diego, CA, USA, December 2007, Proceedings, (pp. 124-134) LNCS 4863.

5. Federated Enterprise Resource Planning Systems

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