Guys: I and my student are new to the MapReduce an Hadoop world, so my question may be very basic one. We have taken one HD resolution image and performed some basic image processing operations by partitioning it and sending it to the multiple worker nodes. We are able to send JPEG and PNG images and from the reducer we are able to received an image after basic operations. We were just debating that is it OK to perform the timing comparison of such operation on Hadoop and on single machine? We are currently feeling that Hadoop is taking more time, may be because we are not actually implementing it on the cluster but on our QuadCore laptop. We are also getting feeling that when we perform such operations on thousands and millions of images we may get better time achievement rather than checking it on the single image. It would be good if experts group can say something on that. Thanks and Regards,
~~ Dr. Rajen Bhatt (Corporate Research @ Robert Bosch, India) Off: +91-80-4191-2025 Mob: +91-9901241005
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