Hello Sir, I have some doubts, please help me. we have requirement of scalable storage system, we have developed one agro-advisory system in which farmers will sent the crop pictures particularly in sequential manner some 6-7 photos of 3-4 kb each would be stored in storage server and these photos would be read sequentially by scientist to detect the problem, writing to images would not be done.
So for storing these images we are using hadoop file system, is it feasible to use hadoop file system for the same purpose. As also the images are of only 3-4 kb and hadoop reads the data in blocks of size 64 mb how can we increase the performance, what could be the tricks and tweaks that should be done to use hadoop for such kind of purpose. Next problem is as hadoop stores all the metadata in memory,can we use some mechanism to store the files in the block of some greater size because as the files would be of small size,so it will store the lots metadata and will overflow the main memory please suggest what could be done regards, Snehal
