Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kibin Park"'
Autor:
Youngil Kim, Seungdo Choi, Daeyong Lee, Joonyong Jeong, Jaewook Kwak, Jungkeol Lee, Gyeongyong Lee, Sangjin Lee, Kibin Park, Jinwoo Jeong, Wang Kexin, Yong Ho Song
Publikováno v:
IEEE Access, Vol 8, Pp 37105-37123 (2020)
As big data has evolved over the past few years, a lack of storage space and I/O bandwidth has become one of the most important challenges to overcome. To mitigate these problems, data compression schemes reduce the amount of data to be stored and tr
Externí odkaz:
https://doaj.org/article/d42a88efe21148a486b466b6ff2e4198
Publikováno v:
IEEE Access, Vol 7, Pp 149583-149594 (2019)
Data compression reduces the cost of data storage and transmission by decreasing the data size. Previous studies have improved system performance by adaptively choosing the compression ratio (CR) and throughput required for the system by using a trad
Externí odkaz:
https://doaj.org/article/06507c44e45c4bf5ac6b28b3dd15cf0f
Autor:
Sangjin Lee, Alberto Lerner, André Ryser, Kibin Park, Chanyoung Jeon, Jinsub Park, Yong Ho Song, Philippe Cudré-Mauroux
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d35e17822b4c9d8b7da7bf9a631e43fa
https://doi.org/10.1145/3514221.3526188
https://doi.org/10.1145/3514221.3526188
Publikováno v:
ACM Transactions on Storage. 16:1-35
As semiconductor technology has advanced, many storage systems have begun to use non-volatile memories as storage media. The organization and architecture of storage controllers have become more complex to meet various design requirements in terms of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::516a22fda9ce66cfd0c2182053fd52cc
https://doi.org/10.1145/3385073
https://doi.org/10.1145/3385073
Autor:
Seungdo Choi, Youngil Kim, Sangjin Lee, Jungkeol Lee, Jinwoo Jeong, Joonyong Jeong, Yong Ho Song, Jaewook Kwak, Gyeongyong Lee, Wang Kexin, Kibin Park, Daeyong Lee
Publikováno v:
IEEE Access, Vol 8, Pp 37105-37123 (2020)
As big data has evolved over the past few years, a lack of storage space and I/O bandwidth has become one of the most important challenges to overcome. To mitigate these problems, data compression schemes reduce the amount of data to be stored and tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1533ab918d1e848f797c10ce66dbf83f
https://doi.org/10.1109/access.2020.2975929
https://doi.org/10.1109/access.2020.2975929
Publikováno v:
IEEE Access, Vol 7, Pp 149583-149594 (2019)
Data compression reduces the cost of data storage and transmission by decreasing the data size. Previous studies have improved system performance by adaptively choosing the compression ratio (CR) and throughput required for the system by using a trad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6a079e491889a4111d79c6cc91635de
https://doi.org/10.1109/access.2019.2947273
https://doi.org/10.1109/access.2019.2947273
Publikováno v:
ACM Transactions on Storage; Jul2020, Vol. 16 Issue 3, p1-35, 35p