Towards cross-layer monitoring of cloud workflows Eric Kübler and Mirjam Minor Wirtschaftsinformatik, Goethe University, Robert-Mayer-Str.10, Frankfurt am Main, Germany, {ekuebler, minor}@informatik.uni-frankfurt.de Abstract. Prospective cloud management requires sophisticated moni- toring capabilities. In this paper, we introduce a novel monitoring frame- work for cloud-based workflow systems called cWorkload. cWorkload in- tegrates monitoring information from different layers of the cloud archi- tecture. The paper puts its focus on the two-layer monitoring regarding the workflow layer and the PaaS layer. We present the layered monitoring architecture, an implementation of the two-layer cross-monitoring part, and an experimental evaluation with sample workflow data. Further, we discuss related work on cloud monitoring divided into one-layer, multi- layer, and cross-layer approaches. Our plans for future work on extending the implementation by further layers towards a cross-layer, prospective monitoring for prospective cloud management are described. The orig- inal version of this re-submission has been published at CLOSER 2015 [Kübler and Minor, 2015]. Keywords: Cloud Management, Cloud Monitoring, Workflow Manage- ment, Case-Based Reasoning References [Kübler and Minor, 2015] Kübler, E. and Minor, M. (2015). Towards cross-layer mon- itoring of cloud workflows. In Proceedings of the 5th International Conference on Cloud Computing and Services Science (Accepted for publication), pages 389 – 396, Lisbon, Portugal. SciTePress. Copyright c 2015 by the papers authors. Copying permitted only for private and academic purposes. In: R. Bergmann, S. Görg, G. Müller (Eds.): Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB. Trier, Germany, 7.-9. October 2015, published at http://ceur-ws.org 287