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/2f336a56ee96f2f8787125c01690c37bfa13192f/height=288;version=1;width=512/https%3A%2F%2Fblogger.googleusercontent.com%2Fimg%2Fb%2FR29vZ2xl%2FAVvXsEgOu_63cStb_sfXgjVF0MD66zf9m4tjlScArUjdOEC4YF79BMc3pXnO4VGHORRRiEHfnw_9uz7hcXSJ9E5Dyvf0GEZe8r19uV8giZJnYLeFNnCaqJkKXjNKPS8zcY2CebpYJrCIjIIZ-gtJ%2Fw1200-h630-p-k-no-nu%2Fp1.png)