| Budget Amount *help |
¥18,200,000 (Direct Cost: ¥14,000,000、Indirect Cost: ¥4,200,000)
Fiscal Year 2015: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2014: ¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
Fiscal Year 2013: ¥7,280,000 (Direct Cost: ¥5,600,000、Indirect Cost: ¥1,680,000)
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| Outline of Final Research Achievements |
In this research work, a method for speculative reconstruction of a Big Data processing system is proposed, which is responded to a bursty load increase. The method is implemented on an experiment system and evaluated. A bursty load change is predicted by monitoring data, and a virtual machine of a Cloud computing system is migrated and relocated based on the prediction, and the network traffic is controlled using the information. A Big Data processing system that is tolerable to a bursty load increase is constructed and evaluated using data in an emergency case.
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