@article{oai:ipsj.ixsq.nii.ac.jp:00176925,
 author = {Yoji, Yamato and Yoji, Yamato},
 issue = {1},
 journal = {情報処理学会論文誌},
 month = {Jan},
 note = {Recently, cloud systems composed of heterogeneous hardware have been increased to utilize progressed hardware power. However, to program applications for heterogeneous hardware to achieve high performance needs much technical skill and is difficult for users. Therefore, to achieve high performance easily, this paper proposes a PaaS which analyzes application logics and offloads computations to GPU and FPGA automatically when users deploy applications to clouds.
------------------------------
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.25(2017) (online)
DOI　http://dx.doi.org/10.2197/ipsjjip.25.56
------------------------------, Recently, cloud systems composed of heterogeneous hardware have been increased to utilize progressed hardware power. However, to program applications for heterogeneous hardware to achieve high performance needs much technical skill and is difficult for users. Therefore, to achieve high performance easily, this paper proposes a PaaS which analyzes application logics and offloads computations to GPU and FPGA automatically when users deploy applications to clouds.
------------------------------
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.25(2017) (online)
DOI　http://dx.doi.org/10.2197/ipsjjip.25.56
------------------------------},
 title = {Optimum Application Deployment Technology for Heterogeneous IaaS Cloud},
 volume = {58},
 year = {2017}
}