Cloud Resource Optimization for Processing Multiple Streams of Visual Data
Hundreds of millions of network cameras have been installed throughout the world. Each is capable of providing a vast amount of real-time data. Analyzing the massive data generated by these cameras requires significant computational resources and the demands may vary over time. Cloud computing shows...
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| Veröffentlicht in: | IEEE multimedia 2019-07, Vol.26 (3), p.31-41 |
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| container_title | IEEE multimedia |
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| creator | Kapach, Zohar Ulmer, Andrew Merrick, Daniel Alikhan, Arshad Lu, Yung-Hsiang Mohan, Anup Kaseb, Ahmed S. Thiruvathukal, George K. |
| description | Hundreds of millions of network cameras have been installed throughout the world. Each is capable of providing a vast amount of real-time data. Analyzing the massive data generated by these cameras requires significant computational resources and the demands may vary over time. Cloud computing shows the most promise to provide the needed resources on demand. In this paper, we investigate how to allocate cloud resources when analyzing real-time data streams from network cameras. A resource manager considers many factors that affect its decisions, including the types of analysis, the number of data streams, and the locations of the cameras. The manager then selects the most cost-efficient types of cloud instances (e.g., central processing unit versus general-purpose graphics processing units) to meet the computational demands for analyzing streams. We evaluate the effectiveness of our approach using Amazon Web Services. Experiments demonstrate more than 50% cost reduction for real workloads. |
| doi_str_mv | 10.1109/MMUL.2018.2890255 |
| format | Magazinearticle |
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| issn | 1070-986X 1941-0166 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Cameras Central Processing Unit Central processing units Cloud computing CPUs Data analysis Data transmission Decision analysis Graphics processing units Optimization Real time Real-time systems Streaming media Visualization Web services |
| title | Cloud Resource Optimization for Processing Multiple Streams of Visual Data |
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