Capacity Planning and Allocation for Web‐Based Applications

Motivated by the technology division of a financial services firm, we study the problem of capacity planning and allocation for Web‐based applications. The steady growth in Web traffic has affected the quality of service (QoS) as measured by response time (RT), for numerous e‐businesses. In addition, the lack of understanding of system interactions and availability of proper planning tools has impeded effective capacity management. Managers typically make decisions to add server capacity on an ad hoc basis when systems reach critical response levels. Very often this turns out to be too late and results in extremely long response times and the system crashes. We present an analytical model to understand system interactions with the goal of making better server capacity decisions based on the results. The model studies the relationships and important interactions between the various components of a Web‐based application using a continuous time Markov chain embedded in a queuing network as the basic framework. We use several structured aggregation schemes to appropriately represent a complex system, and demonstrate how the model can be used to quickly predict system performance, which facilitates effective capacity allocation decision making. Using simulation as a benchmark, we show that our model produces results within 5% accuracy at a fraction of the time of simulation, even at high traffic intensities. This knowledge helps managers quickly analyze the performance of the system and better plan server capacity to maintain desirable levels of QoS. We also demonstrate how to utilize a combination of dedicated and shared resources to achieve QoS using fewer servers.     

供水调度中实现决策支持的方法研究

针对供水调度系统在决策支持方面的不足,本文提出利用SQL Server Analysis Services在OLAP及数据挖掘方面的技术,建立数据仓库、OLAP和数据挖掘三者相结合的决策支持系统的方案,讨论了基于Analysis Ser-vices实现供水调度决策支持系统的技术.     

The complementary effects of rationality and intuition on strategic decision quality

Rationality and intuition are important dimensions of the strategic decision process. Prior studies have viewed these as distinct dimensions, providing limited insights for our understanding of strategic decision processes. Drawing on the dual process theory and research on process capability, this study examines the interplay between rationality and intuition based on a sample of 103 strategic decisions made by service firms in Greece. The results suggest that combining rationality and intuition at the same time leads to successful strategic decisions. Also, the moderating role of environmental dynamism was investigated. We found that in dynamic settings, decision-making teams which combine rationality and intuition outperform teams which use rationality or intuition separately. The implications of these findings for theory and practice are important and are analysed in the paper.