WEKO3
アイテム
DiffHub: An Efficient Cloud Sync Technology based on Binary Diffs
https://ipsj.ixsq.nii.ac.jp/records/144746
https://ipsj.ixsq.nii.ac.jp/records/1447460ccfe2d1-33b8-467d-92e5-2af8006943a6
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
|
|
Copyright (c) 2015 by the Information Processing Society of Japan
|
|
| オープンアクセス | ||
| Item type | Journal(1) | |||||||
|---|---|---|---|---|---|---|---|---|
| 公開日 | 2015-08-15 | |||||||
| タイトル | ||||||||
| タイトル | DiffHub: An Efficient Cloud Sync Technology based on Binary Diffs | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | DiffHub: An Efficient Cloud Sync Technology based on Binary Diffs | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | [一般論文] diffhub, cloud sync, file sync, cloud drive, group drive, binary diff, bulk transfer, cloud migration | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||
| 資源タイプ | journal article | |||||||
| 著者所属 | ||||||||
| Department of Artificial Intelligence, Computer Science and Systems Engineering, Kyushu Institute of Technology | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Department of Artificial Intelligence, Computer Science and Systems Engineering, Kyushu Institute of Technology | ||||||||
| 著者名 |
Marat, Zhanikeev
× Marat, Zhanikeev
|
|||||||
| 著者名(英) |
Marat, Zhanikeev
× Marat, Zhanikeev
|
|||||||
| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Among several distinct kinds of syncing technology implemented in clouds today, none implement binary diffs for efficiency. Binary diffs are well established in literature and can be used to drastically reduce the bulk transferred over the network. Since most cloud technologies are distributed and depend on intensive internetworking, binary diffs can offer a considerable efficiency boost. This paper proposes the DiffHub method for cloud syncs. Its performance is analyzed separately on real filesystems and then on synthetic traces based on hotspot distributions. Results show that traffic bulk can be reduced by between 1 and 2 orders of magnitude, depending on conditions. \n------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.23(2015) No.5 (online) ------------------------------ |
|||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Among several distinct kinds of syncing technology implemented in clouds today, none implement binary diffs for efficiency. Binary diffs are well established in literature and can be used to drastically reduce the bulk transferred over the network. Since most cloud technologies are distributed and depend on intensive internetworking, binary diffs can offer a considerable efficiency boost. This paper proposes the DiffHub method for cloud syncs. Its performance is analyzed separately on real filesystems and then on synthetic traces based on hotspot distributions. Results show that traffic bulk can be reduced by between 1 and 2 orders of magnitude, depending on conditions. \n------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.23(2015) No.5 (online) ------------------------------ |
|||||||
| 書誌レコードID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AN00116647 | |||||||
| 書誌情報 |
情報処理学会論文誌 巻 56, 号 8, 発行日 2015-08-15 |
|||||||
| ISSN | ||||||||
| 収録物識別子タイプ | ISSN | |||||||
| 収録物識別子 | 1882-7764 | |||||||