Distributed Computer System Capacity Planning and Capacity Loading
研究了分布式计算机系统中容量规划与容量加载的分层决策问题，建立了初始容量规划的线性规划模型和动态环境下的加载模型，以支持系统运营。
The availability of micro‐, mini‐, and super computers has complicated the laws governing the economies of scale in computers and has increased the tendency to decentralize and distribute computing power. The optimal design of such a system requires integration of computers of varying power and a strategy for capacity loading. This paper considers the problem of capacity planning and capacity loading of a distributed computer system as a hierarchy of decisions. A linear programming model is developed for the initial capacity planning problem. A loading model that accounts for variations in arrival and processing rates of the jobs in a dynamic environment is developed to support the operations.