Paper Info
Title
Opportunistic spatio-temporal event processing for mobile situation awareness
Abstract
With the proliferation of mobile devices and sensors, mobile situation awareness is becoming an important class of applications. The key requirement of this class of applications is low-latency processing of events stemming from sensor data in order to provide timely situational information to mobile users. To satisfy the latency requirement, we propose an opportunistic spatio-temporal event processing system that uses prediction-based continuous query handling. Our system predicts future query regions for moving consumers and starts processing events early so that the live situational information is available when the consumer reaches the future location. In contrast to existing systems, our system provides timely information about a consumer's current position by hiding computation latency for processing recent events. To evaluate our system, we measure the quality of results and timeliness of live situational information with various query parameters. Our evaluation shows that we can achieve highly meaningful query results with near-zero latency in most cases.
Year
DOI
Venue
2013
10.1145/2488222.2488266
DEBS
Keywords
Field
DocType
timely information,mobile situation awareness,opportunistic spatio-temporal event processing,continuous query handling,computation latency,timely situational information,live situational information,various query parameter,future query region,low-latency processing,meaningful query result,complex event processing,situation awareness,mobility
Quality of results,Query string,Latency (engineering),Computer science,Situation awareness,Complex event processing,Real-time computing,Mobile device,Situational ethics,Computation
Conference
Citations 
PageRank 
References 
18
1.28
28
Authors
5
Name
Order
Citations
PageRank
Kirak Hong121813.15
David J. Lillethun21829.48
Umakishore Ramachandran31071103.27
Beate Ottenwälder425713.16
Boris Koldehofe568452.97