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PART II
There are several key aspects that contribute to a biometric s development and, inherently, its robustness and distinctiveness. These two terms require explanation. Robustness refers to the ability of a particular biometric to be repeatedly presented over time to the biometric system for successful automated measurement. Robustness is a function of the particular biometric s permanence and stability. (An iris is more robust than a voice.) Distinctiveness refers to the ability of a person s particular biometric to be different from others in the user population, and the difference can be measured. (A fingerprint is more distinctive than hand or finger geometry.)
WAN Architecture
Audit Risk and Materiality
up and the destination sends a not-ready signal to the source, the source could still be sending data that the destination would have to drop. And when the destination is ready to start receiving again, the destination sends a ready signal to the source to start sending stuff, introducing a delay before the source can actually begin sending again. This delay can be significant, causing the throughput of the session to drop dramatically. Windowing is a much more efficient process, since the size of the window determines how many segments can be sent before waiting for an acknowledgment to send the next batch of segments. A good windowing flow control implementation will use a sliding scale, allowing for the size of the window to change based on events occurring at both the source and destination and any congestion or extra bandwidth available between these devices.