2014年
Towards Understanding the Usage Behavior of Google Cloud Users: The Mice and Elephants Phenomenon
2014 IEEE 6TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM)
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- 開始ページ
- 272
- 終了ページ
- 277
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/CloudCom.2014.75
- 出版者・発行元
- IEEE
In the era of cloud computing, users encounter the challenging task of effectively composing and running their applications on the cloud. In an attempt to understand user behavior in constructing applications and interacting with typical cloud infrastructures, we analyzed a large utilization dataset of Google cluster. In the present paper, we consider user behavior in composing applications from the perspective of topology, maximum requested computational resources, and workload type. We model user dynamic behavior around the user's session view. Mass-Count disparity metrics are used to investigate the characteristics of underlying statistical models and to characterize users into distinct groups according to their composition and behavioral classes and patterns. The present study reveals interesting insight into the heterogeneous structure of the Google cloud workload.
- リンク情報
- ID情報
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- DOI : 10.1109/CloudCom.2014.75
- ISSN : 2330-2194
- Web of Science ID : WOS:000392947000037