An Efficient Dataflow Execution Method for Mobile Context Monitoring Applications

Publication Type

Conference Proceeding Article

Publication Date

3-2012

Abstract

In this paper, we propose a novel efficient dataflow execution method for mobile context monitoring applications. As a key approach to minimize the execution overhead, we propose a new dataflow execution model, producer-oriented model. Compared to the conventional consumer-oriented model adopted in stream processing engines, our model significantly reduces execution overhead to process context monitoring dataflow reflecting unique characteristics of context monitoring. To realize the model, we develop DataBank, an execution container that takes charge of the management and delivery of the output data for the associated operator. We demonstrate the effectiveness of DataBank by implementing three useful applications and their dataflow graphs, i.e., MusicMap, FindMyPhone, and CalorieMonitor. Using the applications, we show that DataBank reduces the CPU utilization by more than 50%, compared to the methods based on the consumer-oriented model; DataBank enables more context monitoring applications to run concurrently.

Keywords

Context monitoring, Dataflow execution, Performance

Discipline

Computer Sciences | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

2012 IEEE International Conference on Pervasive Computing and Communications: Proceedings, 19-23 March 2012, Lugano, Switzerland

First Page

116

Last Page

121

ISBN

9781467302579

Identifier

10.1109/PerCom.2012.6199857

Publisher

IEEE

City or Country

Piscataway, NJ

Additional URL

http://dx.doi.org/10.1109/PerCom.2012.6199857

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