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A network model for wide area access to structural information
1Dept. Electrical Engineering, University of Washington, Seattle 98195.
Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1993
Summary
Predicting structural information client performance is crucial for remote medical data access. A model using ping time can forecast network transfer times, aiding in system planning and deployment.
Area of Science:
- Medical Imaging
- Biotechnology
- Network Performance
Background:
- Advances in medical imaging and biotechnology generate vast amounts of structural information.
- High Performance Computing and Communication Initiative (HPCC) enables wide area network delivery of this data.
- Network latency significantly impacts the usability of remote structural information clients.
Purpose of the Study:
- To develop a predictive model for structural information client performance.
- To assess the utility of ping time as a network performance metric.
- To facilitate efficient deployment and network planning for remote access to medical structural data.
Main Methods:
- Utilized ping time, a network measurement, to model client-server performance.
- Analyzed the relationship between ping time and data transfer time for large files.
- Collected preliminary data to validate the predictive model.
Main Results:
- Preliminary findings indicate a linear correlation between ping time and data transfer time.
- The proposed model shows potential for predicting structural information client performance.
- Ping time is a viable, unobtrusive metric for assessing network conditions.
Conclusions:
- A ping time-based model can predict structural information client performance.
- This model can reduce the costs and time associated with client installation and testing.
- The model supports strategic network improvements for enhanced remote medical data access.