SNOOPy Calendar Queue

Discrete event simulations often require a future event list structure to manage events according to their timestamp. The choice of an efficient data structure is vital to the performance of discrete event simulations as 40% of the time may be spent on its management. A Calendar Queue (CQ) or Dynamic Calendar Queue (DCQ) are two data structures that offers O(1) complexity regardless of the future event list size. CQ is known to perform poorly over skewed event distributions or when event distribution changes. DCQ improves on the CQ structure by detecting such scenarios in order to redistribute events. Both CQ and DCQ determine their operating parameters (bucket widths) by sampling events. However, sampling technique will fail if the samples do not accurately reflect the inter-event gap size. This paper presents a novel and alternative approach for determining the optimum operating parameter of a calendar queue based on performance statistics. Stress testing of the new calendar queue, ...

• Type: Conference
• Year: 2000
• Where: WSC
• Authors: Kah Leong Tan, Ian Li-Jin Thng
• Keywords: Calendar Queue, Discrete Event Simulations, Future Event List, Modeling And Simulation, WSC 2000