Proposal for an optimal job allocation method for data-intensive applications based on multiple costs balancing in a hybrid cloud environment
Yumiko Kasae, Masato Oguchi · 2013
Due to the explosive increase in the amount of information in computer systems, we need a system that can process large amounts of data efficiently. Cloud computing system is an effective means to achieve this capacity and has spread throughout the world. In our research, we focus on hybrid cloud environments, and we propose a method for efficiently processing large amounts of data while responding flexibly to needs related to performance and costs. We have developed this method as middleware.