An Efficient Dataflow Execution Method for Mobile Context Monitoring Applications
Conference Proceeding Article
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.
Context monitoring, Dataflow execution, Performance
Computer Sciences | Software Engineering
Software and Cyber-Physical Systems
2012 IEEE International Conference on Pervasive Computing and Communications: Proceedings, 19-23 March 2012, Lugano, Switzerland
City or Country
JU, Younghyun; MIN, Chulhong; LEE, Youngki; YU, Jihyun; and SONG, Junehwa.
An Efficient Dataflow Execution Method for Mobile Context Monitoring Applications. (2012). 2012 IEEE International Conference on Pervasive Computing and Communications: Proceedings, 19-23 March 2012, Lugano, Switzerland. 116-121. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/2069