| 講演抄録/キーワード |
| 講演名 |
2014-05-16 09:50
Efficiency Tricks for Hashing and Blooming in Streaming Algorithms ○Marat Zhanikeev(Kyushu Inst. of Tech.) IT2014-1 |
| 抄録 |
(和) |
Streaming algorithms, also known as data streaming, are a realtime/online alternative to offline processing of data stored in a database. While streaming, it is important to stay below the per-item processing time budget. Since one would still like to extract as much valuable information as possible from the stream (larger sketches), it is important to use highly efficient algorithms for hash functions and bloom filters. This paper presents some of the efficiency tricks in this area. Note that the topic is only distantly related to the space efficiency (memory footprint minimization) problem and pursues drastically different objectives. |
| (英) |
Streaming algorithms, also known as data streaming, are a realtime/online alternative to offline processing of data stored in a database. While streaming, it is important to stay below the per-item processing time budget. Since one would still like to extract as much valuable information as possible from the stream (larger sketches), it is important to use highly efficient algorithms for hash functions and bloom filters. This paper presents some of the efficiency tricks in this area. Note that the topic is only distantly related to the space efficiency (memory footprint minimization) problem and pursues drastically different objectives. |
| キーワード |
(和) |
fast hashing / blooming / bloom filter / streaming algorithm / efficient algorithm / / / |
| (英) |
fast hashing / blooming / bloom filter / streaming algorithm / efficient algorithm / / / |
| 文献情報 |
信学技報, vol. 114, no. 34, IT2014-1, pp. 1-4, 2014年5月. |
| 資料番号 |
IT2014-1 |
| 発行日 |
2014-05-09 (IT) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| PDFダウンロード |
IT2014-1 |