Name
Abstract | ||
|---|---|---|
Nowadays, videos are increasingly stored, published and accessed across the Internet as the users can connect to the Internet and consume multimedia contents easily. Usually, video streaming data is massively large, and the user needs to play it continuously. Therefore, it requires a large scale of data processing and transportation between the source and destination. Caching techniques are applied to reduce the load of the storage server, but the performance depends on the caching policy and the users' behaviors. Dynamic Adaptive Streaming over HTTP (MPEG-DASH) is a new standard which has been increasingly used widely. The traditional caching policies were not adjusted to the streaming scenarios. Therefore, we propose a new caching policy applying the popularity and its attenuation to handle the streaming workload. Our proposed method outperformed the LRU and the LFU caching policies by increasing the hit rates when the cache percentage is in between 15%-35% under the sequential and Zipf-like workload scenarios. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ISCIT.2019.8905163 | 2019 19th International Symposium on Communications and Information Technologies (ISCIT) |
Keywords | Field | DocType |
popularity attenuation,cache eviction policy,MPEG-DASH,adaptive streaming video,video caching,dynamic popularity caching | Computer science,Popularity,Computer network,Dynamic Adaptive Streaming over HTTP | Conference |
ISSN | ISBN | Citations |
2643-6140 | 978-1-7281-5010-9 | 0 |
PageRank | References | Authors |
0.34 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Taofik Lamsub | 1 | 0 | 0.34 |
| Pichaya Tandayya | 2 | 17 | 3.90 |