Talks and Poster Presentations (with Proceedings-Entry):

M. Candra, H. Truong, S. Dustdar:
"Modeling Elasticity Trade-Offs in Adaptive Mixed Systems";
Talk: 11th Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC) Conference Track at WETICE 2013, Hammamet, Tunisia; 2013-06-17 - 2013-06-20; in: "22nd IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2013)", IEEE Computer Society, (2013), ISBN: 978-0-7695-5002-2; 21 - 26.

English abstract:
In the past decade, elastic computing has emerged as a popular solution approach for on-demand computing resources´ provisioning. Today, such dynamic resource provisioning is used not only in machine-based computing systems but also in mixed systems containing machine- and human-based computing elements. Many efforts have been undertaken to achieve resource elasticity. However, to provide a truly elastic computation, system designers also need to foresee trade-offs between cost, quality, and resources. Unfortunately, the lack of modeling tools leads to difficulty in designing on-demand provisioning strategy in mixed systems. In this paper we present a modeling tool named Elasticity Profile (EP) that specifies constructs for modeling the elastic behavior of mixed systems with respect to trade-offs between cost, quality, and resources. We also present a conceptual framework where our EP can be deployed, utilized, and bound to runtime systems. Furthermore, we demonstrate the suitability of EP model using several use cases.

cloud computing, human computing, elasticity strategy, elasticity modeling tool

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.