Abstract
We are presenting the Architecture for Interactive Arts (ARIA) middleware architecture for sensory/reactive environments, such as interactive performances. ARIA processes, filters, and fuses sensory inputs and actuates responses in real-time while providing various service guarantees. ARIA is deployed on a centralized stream processor that monitors and queries over distributed media sensors and outputs of the media workflows are sent to actuators with video and audio presentation capabilities. Due to rapid updates and the continuous nature of sensory data streams, approximation and adaptation techniques are necessary to optimize resource usage. We propose a mechanism that adapts media workflows by adjusting parameters of filters and fusion operators that dynamically control the speed of data streams and the sampling rate. In [1], we developed the ARIA middleware model, including the operators, performance models, and the optimization techniques for chain structured (single-sensor, single-actuator) media workflows. In this paper, we focus on development of flow optimization techniques in adaptive multi-sensor, multi-actuator workflow system. We experimentally evaluate the efficiency and the effectiveness of the algorithms.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - International Workshop on Biomedical Data Engineering, BMDE2005 |
| Volume | 2005 |
| DOIs | |
| State | Published - 2005 |
| Event | 21st International Conference on Data Engineering Workshops 2005 - Tokyo, Japan Duration: Apr 3 2005 → Apr 4 2005 |
Other
| Other | 21st International Conference on Data Engineering Workshops 2005 |
|---|---|
| Country | Japan |
| City | Tokyo |
| Period | 4/3/05 → 4/4/05 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Adaptive multi-sensor, multi-actuator media workflow system for interactive arts. / Peng, Lina; Candan, Kasim.
Proceedings - International Workshop on Biomedical Data Engineering, BMDE2005. Vol. 2005 2005. 1647777.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Adaptive multi-sensor, multi-actuator media workflow system for interactive arts
AU - Peng, Lina
AU - Candan, Kasim
PY - 2005
Y1 - 2005
N2 - We are presenting the Architecture for Interactive Arts (ARIA) middleware architecture for sensory/reactive environments, such as interactive performances. ARIA processes, filters, and fuses sensory inputs and actuates responses in real-time while providing various service guarantees. ARIA is deployed on a centralized stream processor that monitors and queries over distributed media sensors and outputs of the media workflows are sent to actuators with video and audio presentation capabilities. Due to rapid updates and the continuous nature of sensory data streams, approximation and adaptation techniques are necessary to optimize resource usage. We propose a mechanism that adapts media workflows by adjusting parameters of filters and fusion operators that dynamically control the speed of data streams and the sampling rate. In [1], we developed the ARIA middleware model, including the operators, performance models, and the optimization techniques for chain structured (single-sensor, single-actuator) media workflows. In this paper, we focus on development of flow optimization techniques in adaptive multi-sensor, multi-actuator workflow system. We experimentally evaluate the efficiency and the effectiveness of the algorithms.
AB - We are presenting the Architecture for Interactive Arts (ARIA) middleware architecture for sensory/reactive environments, such as interactive performances. ARIA processes, filters, and fuses sensory inputs and actuates responses in real-time while providing various service guarantees. ARIA is deployed on a centralized stream processor that monitors and queries over distributed media sensors and outputs of the media workflows are sent to actuators with video and audio presentation capabilities. Due to rapid updates and the continuous nature of sensory data streams, approximation and adaptation techniques are necessary to optimize resource usage. We propose a mechanism that adapts media workflows by adjusting parameters of filters and fusion operators that dynamically control the speed of data streams and the sampling rate. In [1], we developed the ARIA middleware model, including the operators, performance models, and the optimization techniques for chain structured (single-sensor, single-actuator) media workflows. In this paper, we focus on development of flow optimization techniques in adaptive multi-sensor, multi-actuator workflow system. We experimentally evaluate the efficiency and the effectiveness of the algorithms.
UR - http://www.scopus.com/inward/record.url?scp=33947133198&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33947133198&partnerID=8YFLogxK
U2 - 10.1109/ICDE.2005.180
DO - 10.1109/ICDE.2005.180
M3 - Conference contribution
AN - SCOPUS:33947133198
SN - 0769526578
SN - 9780769526577
VL - 2005
BT - Proceedings - International Workshop on Biomedical Data Engineering, BMDE2005
ER -