edoc-vmtest

Reliable distributed data stream management in mobile environments

Brettlecker, Gert and Schuldt, Heiko. (2011) Reliable distributed data stream management in mobile environments. Information Systems Journal, 36 (3). pp. 618-643.

[img]
Preview
PDF - Accepted Version
644Kb

Official URL: http://edoc.unibas.ch/dok/A5841351

Downloads: Statistics Overview

Abstract

The proliferation of sensor technology, especially in the context of embedded systems, has brought forward novel types of applications that make use of streams of continuously generated sensor data. Many applications like telemonitoring in healthcare or roadside traffic monitoring and control particularly require data stream management (DSM) to be provided in a distributed, yet reliable way. This is even more important when DSM applications are deployed in a failure-prone distributed setting including resource-limited mobile devices, for instance in applications which aim at remotely monitoring mobile patients. In this paper, we introduce a model for distributed and reliable DSM. The contribution of this paper is threefold. First, in analogy to the SQL isolation levels, we define levels of reliability and describe necessary consistency constraints for distributed DSM that specify the tolerated loss, delay, or re-ordering of data stream elements, respectively. Second, we use this model to design and analyze an algorithm for reliable distributed DSM, namely efficient coordinated operator checkpointing (ECOC). We show that ECOC provides lossless and delay-limited reliable data stream management and thus can be used in critical application domains such as healthcare, where the loss of data stream elements can not be tolerated. Third, we present detailed performance evaluations of the ECOC algorithm running on mobile, resource-limited devices. In particular, we can show that ECOC provides a high level of reliability while, at the same time, featuring good performance characteristics with moderate resource consumption.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Databases and Information Systems (Schuldt)
UniBasel Contributors:Schuldt, Heiko
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Blackwell
ISSN:1350-1917
e-ISSN:1365-2575
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
Identification Number:
edoc DOI:
Last Modified:16 Oct 2017 11:23
Deposited On:11 Oct 2012 15:21

Repository Staff Only: item control page