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Capacity Planning for Scalable Fingerprint Authentication
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Applications of Intelligent Sytems Intelligent Systems Applications
Capacity Planning for Scalable Fingerprint Authentication
Byungkwan Park1, 3 , Daesung Moon2, 3 , Yongwha Chung3 and Jin-Won Park4 
| (1) |
Department of Computer and Information Science, Sunmoon U., Korea |
| (2) |
Biometrics Technology Research Team, ETRI, Korea |
| (3) |
Department of Computer and Information Science, Korea U., Korea |
| (4) |
School of Games, Hongik U., Korea |
Abstract
As the fingerprint authentication technique becomes widely used at close range such as for the door lock, it will be applied
for the remote user authentication as the next step. For large-scale remote user authentication services such as board control
using bio-passport, the real-time as well as the security/privacy requirements should be satisfied. However, nothing is known
about the collective performance of the fingerprint verification and the authentication protocol on the client-server model.
In this paper, we analyzed the collective performance of the task assignment of the fingerprint authentication on the client-server
model. To obtain the characteristics of the workload of both the fingerprint verification and the authentication protocol,
we first consider three types of primitive operations on the client and the server; fingerprint verification module, cryptography
module and communication module. Then, based on these primitive operations, the workload of each scenario of the task assignment
was applied to the M/D/1 queueing model representing the client-server model, and the collective performance of each scenario
was analyzed quantitatively. The modeling results showed that the server could handle the lowest level of workload when the
server does decryption, verification and matching. On the contrary, the server can handle 9.57 times heavier workload when
the clients do decryption, verification and matching. The modeling results also showed that the workload manageable by the
server depends largely on the communication setup time.
Keywords: Performance Evaluation, Fingerprint Verification, Authentication Protocol.
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