Vertical or Horizontal Scaling for Web Information Systems
As the number of Web users and the amount of information produced keep growing rapidly, information systems need to be scaled up constantly. Usually scaling methods of information systems suffer from being chosen by experience, this paper studied on quantitative optimal selection of vertical/horizontal scaling methods. According to investigation and statistics, we assumed the cost growth formula of the key performance parameters reasonably. Then five key parameters of systems were chosen to construct Kiviat graphs and the areas of Kiviat graphs were computed to evaluate system performance. Next, the quantitative function relation between the performance of information system and the cost of system scaling was established, and then three optimal selection algorithms for system scaling were proposed. Finally, some case studies demonstrate that algorithms are feasible and have a great significance for guiding system scaling.