Multiparadigm scheduling for distributed real-time embedded computing

作     者：Gill, CD Cytron, RK Schmidt, DC 

作者机构：Washington Univ Dept Comp Sci & Engn St Louis MO 63130 USA Univ Calif Irvine Dept Elect & Comp Engn Irvine CA 92697 USA 

出 版 物：《PROCEEDINGS OF THE IEEE》 (电气与电子工程师学会会报)

年 卷 期：2003年第91卷第1期

页      面：183-197页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：ASTD/ASFD Boeing Defense Advanced Research Projects Agency, DARPA, (F33615-00-C-1697) Defense Advanced Research Projects Agency, DARPA Air Force Research Laboratory, AFRL, (F33645-97-D-1155, F3615-97-D-1155/DO) Air Force Research Laboratory, AFRL 

主　　题：distributed real-time and embedded systems dynamic scheduling algorithms and analysis middleware and APIs mission-critical systems quality-of-service (QoS) issues 

摘      要：Increasingly complex requirements, coupled with with tighter economic and organizational constraints, are making it hard to build complex distributed real-time embedded (DRE) systems entirely from scratch. Therefore,, the proportion of DRE systems made up of commercial-off-the-shelf (COTS) hardware and software is increasing significantly. There are, relatively few systematic empirical studies, however, that illustrate how suitable COTS-based hardware and software have become for mission-critical DRE systems. This paper provides the following contributions to the study of real-time quality-of-service (QoS) assurance and performance in COTS-based DRE systems: it presents evidence that flexible configuration of COTS middleware mechanisms, and the operating system (OS) settings they use allows DRE systems to meet critical QoS requirements over a wider range of load and jitter conditions than statically configured systems;it shows that in addition to making critical QoS assurances, noncritical QoS performance can be improved through flexible support for alternative scheduling strategies;and it presents an empirical study of three canonical scheduling strategies;specifically the conditions that predict success of a strategy for a production-quality DRE avionics mission computing system. Our results show that applying a flexible scheduling framework to COTS hardware, OSs, and middleware improves real-time QoS assurance and performance for mission-critical DRE systems.