TY - GEN
T1 - Energy and performance evaluation of lossless file data compression on server systems
AU - Kothiyal, Rachita
AU - Tarasov, Vasily
AU - Sehgal, Priya
AU - Zadok, Erez
PY - 2009
Y1 - 2009
N2 - Data compression has been claimed to be an attractive solution to save energy consumption in high-end servers and data centers. However, there has not been a study to explore this. In this paper, we present a comprehensive evaluation of energy consumption for various f le compression techniques implemented in software. We apply various compression tools available on Linux to a variety of data f les, and we try them on server class and workstation class systems. We compare their energy and performance results against raw reads and writes. Our results reveal that software based data compression cannot be considered as a universal solution to reduce energy consumption. Various factors like the type of the data f le, the compression tool being used, the read-to-write ratio of the workload, and the hardware conf guration of the system impact the eff cacy of this technique. In some cases, however, we found compression to save substantial energy and improve performance.
AB - Data compression has been claimed to be an attractive solution to save energy consumption in high-end servers and data centers. However, there has not been a study to explore this. In this paper, we present a comprehensive evaluation of energy consumption for various f le compression techniques implemented in software. We apply various compression tools available on Linux to a variety of data f les, and we try them on server class and workstation class systems. We compare their energy and performance results against raw reads and writes. Our results reveal that software based data compression cannot be considered as a universal solution to reduce energy consumption. Various factors like the type of the data f le, the compression tool being used, the read-to-write ratio of the workload, and the hardware conf guration of the system impact the eff cacy of this technique. In some cases, however, we found compression to save substantial energy and improve performance.
KW - Data compression
KW - Energy
KW - Performance evaluation
KW - Storage
UR - https://www.scopus.com/pages/publications/70350690680
U2 - 10.1145/1534530.1534536
DO - 10.1145/1534530.1534536
M3 - Conference contribution
AN - SCOPUS:70350690680
SN - 9781605586236
T3 - ACM International Conference Proceeding Series
SP - 4
BT - Proceedings of the Israeli Experimental Systems Conference, SYSTOR 2009
T2 - SYSTOR 2009: The Israeli Experimental Systems Conference
Y2 - 4 May 2009 through 6 May 2009
ER -