Abstract:
The evolution of e-learning as a new information technology built around the use of internet has
originated new possibilities to develop pedagogical methodologies that provide the necessary knowledge
and skills in the higher education environment. This has in effect given rise to a large number of learners
who desire to access the educational resources provided by the new technology. But for many institutions
of higher learning, the users often experiences poor performance when they try to access contents or
download e-learning files. The main reasons for such are often performance problems concerning network
infrastructure and the fact that many people tend to access the same piece of information repetitively. This
paper uses web caching scheme and genetic algorithm optimization to effectively lessen this service
bottleneck, diminish the user access latency and reduce the network traffic.
