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.
Keywords: PC Cluster; Normalized Correlation Method; Minutia Method; Cloud Services; Latency; Bandwidth; Message Passing Interface; Phase Correlation method; Log-Polar; communication to computation ratio.
| Original language | English |
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| Title of host publication | Proceedings of the 4th International Conference of Advances in P2P Systems (Barcelona, Spain, September 23-28, 2012) |
| Editors | N. Antonopoulos, A. Liotta, G. Di Fatta |
| Publisher | IARIA |
| Pages | 30-36 |
| ISBN (Print) | 978-1-61208-238-7 |
| Publication status | Published - 2012 |
| Event | conference; 4th International Conference of Advances in P2P Systems; 2012-09-23; 2012-09-28 - Duration: 23 Sep 2012 → 28 Sep 2012 |
Conference
| Conference | conference; 4th International Conference of Advances in P2P Systems; 2012-09-23; 2012-09-28 |
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| Period | 23/09/12 → 28/09/12 |
| Other | 4th International Conference of Advances in P2P Systems |