李忠謀Lee, Greg C.陳萱庭Chen, Alice Syuan-Ting2022-06-082027-01-112022-06-082021https://etds.lib.ntnu.edu.tw/thesis/detail/bcd52c58fce57aac24619eba413669fc/http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/117308noneCloud services are burgeoning, the next distributed computing era and the next generation of hyperscale data centers are subverting the past. With the rise of Cloud Computing, Artificial Intelligence, and the Internet of Things, data centers have ushered in the third wave of upsurge. Since Network Functions Virtualization (NFV) was put forward by ETSI, NFV development has been highly concerned. Recent methods are becoming obsolete for dealing with the lateral flow in DCN, and attentions to lateral flow to date are also scant. In this research, we devise an algorithm, VIV3A, for hyperscale distributed cloud data centers. The novelty of our work lies not only in considering the new paradigm of lateral flow sensing on real topologies but also in demonstrating the hardness of NFVSED optimization by proof.noneNetwork Functions VirtualizationSoftware-Defined NetworkingCloud-native Container Network FunctionData Center Network學術論文