Since the emerging of Hadoop implementation, I have been trying to morph existing algorithms from various areas into the map/reduce model. The result is pretty encouraging and I've found Map/Reduce is applicable in a wide spectrum of application scenarios. So I want to write down my findings but then found the scope is too broad and also I haven't spent enough time to explore different problem dom
![Designing algorithms for Map Reduce](https://cdn-ak-scissors.b.st-hatena.com/image/square/259d4c605fdddc1a3886de362262f88a970f3462/height=288;version=1;width=512/http%3A%2F%2F4.bp.blogspot.com%2F_j6mB7TMmJJY%2FTNBQJUikfGI%2FAAAAAAAAAgo%2F2VZCtGMBBgE%2Fw1200-h630-p-k-no-nu%2Fp1.png)