Economic load dispatch of power systems based on chaotic simulated annealing neural network model 基于混沌模擬退火神經(jīng)網(wǎng)絡模型的電力系統(tǒng)經(jīng)濟負荷分配
Lvs provides an ip layer based cluster load balance scheduling method, but it is inefficient in the reliability of load dispatching lvs給出了基于ip層的集群負載均衡調(diào)度方法,然而在負載分發(fā)可靠性方面存在不足。
This thesis constructed a runable virtual server cluster system, and implemented the high reliability virtual server load dispatching scheme on real-time embed operating system vxworks 本文構建了一個可運行的虛擬服務集群系統(tǒng),在嵌入式實時操作系統(tǒng)vxworks上實現(xiàn)了高可靠性的虛擬服務負載分發(fā)方案。
Based on the research into virtual server implementation mechanism, this thesis carefully analyzes the key scheduling technology of lvs, and provides an improved corporated dual-server load dispatching scheme 本文在對虛擬服務實現(xiàn)機制進行研究的基礎上,詳細分析了lvs虛擬服務調(diào)度的關鍵技術,提出了一種改進的雙機協(xié)同負載分發(fā)方案。