College of Engineering

During the last few decades, the field of medical image processing has been closely related to neural network methodologies and their applications, especially after the vast successful researches in this field and the advanced newly formulated algorithms as well as the need for accuracy and intelligence in assessing of the medical images in critical diagnosis and oncology care cases.

Fault-tolerance technology has become an important branch in computer systems, and is widely used in many other fields. Fault-tolerance schemes can be used to increase the Availability and Reliability of network service systems. This thesis implemented a Fault-Tolerance Web server system that supports software and hardware failure bypassing, depending on the Dual-Server Hot-Standby principle, where an efficient transparent fail-over scheme is used to provide fault-tolerant network service.