Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
Hadoop Performance Analysis Model With Deep Data Locality, Sungchul Lee, Ju-Yeon Jo, Yoohwan Kim
Hadoop Performance Analysis Model With Deep Data Locality, Sungchul Lee, Ju-Yeon Jo, Yoohwan Kim
Computer Science Faculty Research
Background: Hadoop has become the base framework on the big data system via the simple concept that moving computation is cheaper than moving data. Hadoop increases a data locality in the Hadoop Distributed File System (HDFS) to improve the performance of the system. The network traffic among nodes in the big data system is reduced by increasing a data-local on the machine. Traditional research increased the data-local on one of the MapReduce stages to increase the Hadoop performance. However, there is currently no mathematical performance model for the data locality on the Hadoop. Methods: This study made the Hadoop performance …
Energy Efficiency And Renewable Energy Management With Multi-State Power-Down Systems, James Andro-Vasko, Wolfgang W. Bein, Hiro Ito
Energy Efficiency And Renewable Energy Management With Multi-State Power-Down Systems, James Andro-Vasko, Wolfgang W. Bein, Hiro Ito
Computer Science Faculty Research
A power-down system has an on-state, an off-state, and a finite or infinite number of intermediate states. In the off-state, the system uses no energy and in the on-state energy it is used fully. Intermediate states consume only some fraction of energy but switching back to the on-state comes at a cost. Previous work has mainly focused on asymptotic results for systems with a large number of states. In contrast, the authors study problems with a few states as well as systems with one continuous state. Such systems play a role in energy-efficiency for information technology but are especially important …