Abstract
Nowadays cloud-computing services are being offered by various organizations. Peer-to-Peer (P2P) networks can be used as a collaborative computing environment to solve computationally intensive problems. In this work, we use a PC cluster to simulate a P2P network and present results of a computationally intensive image matching algorithm (fingerprint verification). Collective communications are used to transfer images to destination peers over a network. Communication to computation time ratio are calculated of transferring of fingerprint images of various sizes on the internet. As transfer of raw images are communication intensive, a proposed method is to use FBI approved Wavelet Scalar Quantization (WSQ) compression method at the source before transmitting to the destination nodes. We study the viability of fingerprint identification and/or verification service offered by cloud computing. In particular, we present a distributed fingerprint verification algorithm. Copyright © IARIA, 2012.