— With the rapid growth of Internet, parameter design and analysis for large-scale networks has become a topic of active interest. Since simulation of such large scale systems is...
— This paper provides an initial look at how support for advance reservations affects the complexity of the path selection process in networks. Advance reservations are likely to...
Statistical static timing analysis (SSTA) has been a popular research topic in recent years. A fundamental issue with applying SSTA in practice today is the lack of reliable and e...
Aspect-Oriented Programming (AOP) is a powerful technique to better modularize object-oriented programs by introducing crosscutting concerns in a safe and noninvasive way. Unfortu...
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...