Advances in optical communication and networking technologies, together with the computing and storage technologies, are dramatically changing the ways scientific research is conducted. A new term, e-Science, has emerged to describe large-scale science carried out through distributed global collaborations enabled by networks, requiring access to very large scale data collections, computing resources, and high-performance visualization". Many large-scale scientific and commercial applications produce large amounts of data, of the order of terabytes to petabytes, which must be transferred across wide-area networks. These e-Science application workflows may be complex and require schedulable and high-bandwidth connectivity with known future characteristics. Moreover, these workflows have performance requirements or metrics that have not been considered by conventional networking. For example, large file transfer may need guaranteed total turnaround time and the rate of progress. Given the long duration of many requests, the network resources available may change before it is completed. This seminar covers problems ranging from basic bandwidth scheduling and path computation problems to complex workflow scheduling problems.