John Carpenter, S. Funk, Philip Holman, A. Srinivasan, James H. Anderson, Sanjoy Baruah
{"title":"A Categorization of Real-Time Multiprocessor Scheduling Problems and Algorithms","authors":"John Carpenter, S. Funk, Philip Holman, A. Srinivasan, James H. Anderson, Sanjoy Baruah","doi":"10.1201/9780203489802.ch30","DOIUrl":null,"url":null,"abstract":"Real-time multiprocessor systems are now commonplace. Designs range from single-chip architectures, with a modest number of processors, to large-scale signal-processing systems, such as synthetic-aperture radar systems. For uniprocessor systems, the problem of ensuring that deadline constraints are met has been widely studied: effective scheduling algorithms that take into account the many complexities that arise in real systems (e.g., synchronization costs, system overheads, etc.) are well understood. In contrast, researchers are just beginning to understand the trade-offs that exist in multiprocessor systems. In this chapter, we analyze the trade-offs involved in scheduling independent, periodic real-time tasks on a multiprocessor.","PeriodicalId":147724,"journal":{"name":"Handbook of Scheduling","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"380","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Handbook of Scheduling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9780203489802.ch30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 380
Abstract
Real-time multiprocessor systems are now commonplace. Designs range from single-chip architectures, with a modest number of processors, to large-scale signal-processing systems, such as synthetic-aperture radar systems. For uniprocessor systems, the problem of ensuring that deadline constraints are met has been widely studied: effective scheduling algorithms that take into account the many complexities that arise in real systems (e.g., synchronization costs, system overheads, etc.) are well understood. In contrast, researchers are just beginning to understand the trade-offs that exist in multiprocessor systems. In this chapter, we analyze the trade-offs involved in scheduling independent, periodic real-time tasks on a multiprocessor.