@inproceedings{efa0945656b34adfb05bc353e2c845d5,
title = "FlexDAS: A flexible direct attached storage for I/O intensive applications",
abstract = "Big data analysis and a data storing applications require a huge volume of storage and a high I/O performance. Applications can achieve high levels of performance and cost efficiency by exploiting the high I/O performances of direct attached storages (DAS) such as internal HDDs. With the size of stored data ever increasing, it will be difficult to replace servers since internal HDDs contain huge amounts of data. In response to this issue, we propose FlexDAS, which improves the flexibility of direct attached storage by using a disk area network (DAN) without degrading the I/O performance. We developed a prototype FlexDAS switch and quantitatively evaluated the architecture. Results show that the FlexDAS switch can disconnect and connect the HDD to the server in just 1.16 seconds. The I/O performances of the disks connected via the FlexDAS switch were almost the same as the conventional DAS architecture.",
author = "Takatsugu Ono and Yotaro Konishi and Teruo Tanimoto and Noboru Iwamatsu and Takashi Miyoshi and Jun Tanaka",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2nd IEEE International Conference on Big Data, IEEE Big Data 2014 ; Conference date: 27-10-2014 Through 30-10-2014",
year = "2014",
doi = "10.1109/BigData.2014.7004224",
language = "English",
series = "Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "147--152",
editor = "Jimmy Lin and Jian Pei and Hu, {Xiaohua Tony} and Wo Chang and Raghunath Nambiar and Charu Aggarwal and Nick Cercone and Vasant Honavar and Jun Huan and Bamshad Mobasher and Saumyadipta Pyne",
booktitle = "Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014",
address = "United States",
}