@inproceedings{87b73d0918c6469ea6624f9fef26b7bb,
title = "ACIC: Automatic cloud I/O configurator for parallel applications",
abstract = "To tackle the highlighted I/O bottleneck problem in cloud, we proposes ACIC, a system which automatically searches for optimized I/O system configurations from many candidates for each individual application running on a given cloud platform. The top ACIC-recommended configuration improves the applications? performance by a factor of up to 10.5 (3.0 on average), and cost saving of up to 89% (53% on average), compared with a commonly used baseline.",
keywords = "cloud computing, modeling, performance, storage",
author = "Mingliang Liu and Ye Jin and Jidong Zhai and Yan Zhai and Qianqian Shi and Xiaosong Ma and Wenguang Chen",
year = "2013",
doi = "10.1145/2462902.2462923",
language = "English",
isbn = "9781450319102",
series = "HPDC 2013 - Proceedings of the 22nd ACM International Symposium on High-Performance Parallel and Distributed Computing",
publisher = "Association for Computing Machinery",
pages = "111--112",
booktitle = "HPDC 2013 - Proceedings of the 22nd ACM International Symposium on High-Performance Parallel and Distributed Computing",
address = "United States",
note = "22nd ACM International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2013 ; Conference date: 17-06-2013 Through 21-06-2013",
}