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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Feng Lao Xinggong Zhang Zongming Guo |
| Copyright Year | 2012 |
| Description | Author affiliation: Institute of Computer Science & Technology, Peking University, Beijing 100871, China (Feng Lao; Xinggong Zhang; Zongming Guo) |
| Abstract | Due to the complexity of video coding, fast transcoding is still a challenge. Various parallel coding methods have been proposed. In this paper, we present a parallel transcoding system over Map/Reduce cloud computing architecture. Input video sequences are divided into segments, and mapped to multiple computers. The sub-tasks are launched in parallel with processing results concatenated to the final output sequences. For heterogeneous clips, computing capacity, and task-launching overhead, the task scheduling over cloud is an NP-hard problem. We propose a low-complexity heuristic algorithm, Max-MCT, to find out the optimal solutions for task scheduling. By estimating the low-bound of finish time, we transform the problem into a virtual knapsack problem. But it is not an optimal solution for the original problem therefore we use a minimal complete time (MCT) algorithm to minimize the entire finish time. We carry out extensive experiments on numerical simulations. The results verified that our algorithm outperforms the existing algorithms. |
| Starting Page | 2905 |
| Ending Page | 2908 |
| File Size | 756227 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467302180 |
| ISSN | 02714302 |
| e-ISBN | 9781467302197 |
| DOI | 10.1109/ISCAS.2012.6271923 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-20 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computers Transcoding Complexity theory Processor scheduling Cloud computing Video sequences Computational modeling |
| Content Type | Text |
| Resource Type | Article |
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