Name
Title | ||
|---|---|---|
Prediction-Based and Locality-Aware Task Scheduling for Parallelizing Video Transcoding Over Heterogeneous MapReduce Cluster. |
Abstract | ||
|---|---|---|
MapReduce is a popular programming model in cloud computing to deal with the high computational task, such as video transcoding. It splits the video (task) into multiple segments (subtasks) and transcodes them in parallel in cluster. Due to the complexity of video transcoding and the poor performance of heterogeneous MapReduce cluster, scheduling these subtasks to minimize the total transcoding ti... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCSVT.2016.2634579 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
Transcoding,Streaming media,Cloud computing,Complexity theory,Job shop scheduling,Predictive models,Computational modeling | Transcoding,Heuristic,Locality,Job shop scheduling,Programming paradigm,Load balancing (computing),Computer science,Scheduling (computing),Parallel computing,Cloud computing,Distributed computing | Journal |
Volume | Issue | ISSN |
28 | 4 | 1051-8215 |
Citations | PageRank | References |
6 | 0.45 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Zhao | 1 | 29 | 3.98 |
| Qinghua Zheng | 2 | 1261 | 160.88 |
| Weizhan Zhang | 3 | 101 | 18.64 |
| Jing Wang | 4 | 20 | 3.79 |