[Back]

T. Nguyen, H. Truong, G. Copil, D. Le, D. Moldovan, S. Dustdar:
"On Developing and Operating of Data Elasticity Management Process";
Talk: 13th International Conference on Service Oriented Computing (ICSOC 2015), Goa, India; 2015-11-16 - 2015-11-19; in: "Service-Oriented Computing, 13th International Conference, ICSOC 2015, Proceedings", A. Barros, D. Grigori, N. Narendra, H. Dam (ed.); Springer, LNCS 9435 (2015), ISBN: 978-3-662-48615-3; 105 - 119.

The Data-as-a-Service (DaaS) model enables data analytics providers to provision and offer data assets to their consumers. To achieve
quality of results for the data assets, we need to enable DaaS elasticity by trading off quality and cost of resource usage. However, most of the current work on DaaS is focused on infrastructure elasticity, such as scaling in/out data nodes and virtual machines based on performance and usage, without considering the data assets' quality of results. In this paper, we introduce an elastic data asset model for provisioning data enriched with quality of results. Based on this model, we present techniques to generate and operate data elasticity management process that is used to
monitor, evaluate and enforce expected quality of results. We develop a runtime system to guarantee the quality of resulting data assets provisioned on-demand. We present several experiments to demonstrate the usefulness of our proposed techniques.

http://dx.doi.org/10.1007/978-3-662-48616-0_7

Project Head Schahram Dustdar:
Automatic Elasticity Provisioning Platform for Cloud Applications