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;
06-17-2013
- 06-20-2013; 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.
Keywords:
cloud computing, human computing, elasticity strategy, elasticity modeling tool
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/WETICE.2013.51
Created from the Publication Database of the Vienna University of Technology.