| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Outline of Final Research Achievements |
In this research in order to create new massively parallel computational models for Bigdata Processing, we establish a theoretical model for MapReduce Computation and figure out limitation of its computation. We have mainly done the following research; (1) examination of relationship between previous models and our model, (2) establishment of a theoretical model of MapReduce computational, (3) Clarification of limitation of its computational power, and (4) examination of relationship of Bigdata processing and fault-tolerant computations.
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