Purpose–The purpose of this paper is to integrate and optimize a multiple big data processing platform with the features of high performance, high availability and high …
The MapReduce programming model and Hadoop has become the de facto standard for data-intensive applications. Hadoop tasks are mapped to certain nodes within the Hadoop …
JM Gil, S Kim, JH Lee - International Journal of Communication …, 2014 - Wiley Online Library
Desktop grids are platforms for grid computing that incorporate desktop resources into a grid infrastructure. The purpose of this computing paradigm is to process a massive …
BR Chang, HF Tsai, YA Wang - 2016 IEEE Second …, 2016 - ieeexplore.ieee.org
The objective of this study is to optimize a multiple big data processing platform with high performance and high availability. The optimization to the integration of Apache Hive …
M Siebert, F Moritz, C Meinel - 2010 IEEE/ACIS 9th International …, 2010 - ieeexplore.ieee.org
The complexity of web applications becomes a big problem, when applications are growing. Especially if new algorithms should be tested and compared, it is important to be able to …
The most commonly implemented and established method for the valorization of organics present in wastewater streams is anaerobic digestion (AD) as a means to recover chemical …
HK Reddy, M Patra, DS Roy - 2012 2nd IEEE International …, 2012 - ieeexplore.ieee.org
Desktop grids, which use the idle cycles of desktop PCs of small enterprises and institutions, usually are equipped with hundreds or thousands of desktops, mainly used for office tasks …
As computers are pervading in all aspects of life with advancement of technology, a growing demand is being felt for low-cost, huge computational need. Grid computing paradigm …
S Pandey, A Ashu, KHK Reddy - International Journal of Computer …, 2014 - Citeseer
Now a day's replication is an effective approach to improve the efficacy of distributed system, where large amount of data (terabytes or peta-bytes) is handled. An efficient replica …