講演抄録/キーワード |
講演名 |
2014-03-14 14:35
Online Failure Prediction with Accurate Failure Localization in Cloud Infrastructures ○Hiroshi Otsuka(Fujitsu Labs)・Kaustubh Joshi・Matti Hiltunen・Scott Daniels(AT&T Lab)・Yasuhide Matsumoto(Fujitsu Labs) SC2013-20 |
抄録 |
(和) |
The ability to predict the occurrence of a failure in a large scale IT infrastructure, such as a cloud data center, opens up possibilities to alleviate or completely hide the impact of the failure by taking corrective actions before the failure actually occurs. For example, a VM can be migrated from a failing physical machine to another. However, existing failure prediction methods often do not provide enough information about the location of the failure (e.g., which physical machine) to take meaningful actions. We propose an integrated method that combines the prediction of the occurrence of a failure (of a given type) with the prediction of the location of the failure enabling automated or operator actions. We describe the approach and show initial results in a commercial cloud infrastructure. |
(英) |
The ability to predict the occurrence of a failure in a large scale IT infrastructure, such as a cloud data center, opens up possibilities to alleviate or completely hide the impact of the failure by taking corrective actions before the failure actually occurs. For example, a VM can be migrated from a failing physical machine to another. However, existing failure prediction methods often do not provide enough information about the location of the failure (e.g., which physical machine) to take meaningful actions. We propose an integrated method that combines the prediction of the occurrence of a failure (of a given type) with the prediction of the location of the failure enabling automated or operator actions. We describe the approach and show initial results in a commercial cloud infrastructure. |
キーワード |
(和) |
/ / / / / / / |
(英) |
Failure Prediction / Failure Diagnosis / Failure Localization / / / / / |
文献情報 |
信学技報, vol. 113, no. 496, SC2013-20, pp. 7-12, 2014年3月. |
資料番号 |
SC2013-20 |
発行日 |
2014-03-07 (SC) |
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 |
SC2013-20 |