CE-Storm: Confidential Elastic Processing of Data Streams
DocUID: 2015-002 Full Text:
PDF Author: Nick R. Katsipoulakis, Cory Thoma, Eric A. Gratta, Alexandros Labrinidis, Adam J. Lee, Panos K. Chrysanthis
Abstract: Data Stream Management Systems (DSMS) are crucial for modern high-volume/high-velocity data-driven applications, necessitating a distributed approach to processing them. In addition, data providers often require certain levels of confidentiality for their data, especially in cases of user-generated data, such as those coming out of physical activity/health tracking devices (i.e., our motivating application). This demonstration will showcase Synefo, an infrastructure that enables elastic scaling of DSMS operators, and CryptStream, a framework that provides confidentiality and access controls for data streams while allowing computation on untrusted servers, fused as CE-Storm. We will demonstrate both systems working in tandem and also visualize their behaviour over time under different scenarios.
Published In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data
ISBN: 978-1-4503-2758-9
Pages: 859-864
Year Published: 2015
DOI: 10.1145/2723372.2735357
Project: STREAMS Subject Area: Data Privacy, Data Streams, Data Management on the Cloud
Publication Type: Demonstration
Sponsor: NSF OIA-1028162, NSF IIS-0746696, NSF CNS-1253204