{"title":"实时系统中最小化网络通信的下界算法","authors":"Cecilia Ekelin, Jan Jonsson","doi":"10.1109/ICPP.2002.1040890","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a pseudo-polynomial-time lower-bound algorithm for the problem of assigning and scheduling real-time tasks in a distributed system such that the network communication is minimized The key feature of our algorithm is translating the task assignment problem into the so called k-cut problem of a graph, which is known to be solvable in polynomial time for fixed k. Experiments show that the lower bound computed by our algorithm in fact is optimal in up to 89% of the cases and increases the speed of an overall optimization algorithm by a factor of two on average.","PeriodicalId":393916,"journal":{"name":"Proceedings International Conference on Parallel Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2002-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A lower-bound algorithm for minimizing network communication in real-time systems\",\"authors\":\"Cecilia Ekelin, Jan Jonsson\",\"doi\":\"10.1109/ICPP.2002.1040890\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a pseudo-polynomial-time lower-bound algorithm for the problem of assigning and scheduling real-time tasks in a distributed system such that the network communication is minimized The key feature of our algorithm is translating the task assignment problem into the so called k-cut problem of a graph, which is known to be solvable in polynomial time for fixed k. Experiments show that the lower bound computed by our algorithm in fact is optimal in up to 89% of the cases and increases the speed of an overall optimization algorithm by a factor of two on average.\",\"PeriodicalId\":393916,\"journal\":{\"name\":\"Proceedings International Conference on Parallel Processing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings International Conference on Parallel Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPP.2002.1040890\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Conference on Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP.2002.1040890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A lower-bound algorithm for minimizing network communication in real-time systems
In this paper, we propose a pseudo-polynomial-time lower-bound algorithm for the problem of assigning and scheduling real-time tasks in a distributed system such that the network communication is minimized The key feature of our algorithm is translating the task assignment problem into the so called k-cut problem of a graph, which is known to be solvable in polynomial time for fixed k. Experiments show that the lower bound computed by our algorithm in fact is optimal in up to 89% of the cases and increases the speed of an overall optimization algorithm by a factor of two on average.