{"title":"微内核上的负载分布","authors":"D. Milojicic, P. Giese, W. Zint","doi":"10.1109/FTDCS.1993.344219","DOIUrl":null,"url":null,"abstract":"The authors investigate the appropriateness of a /spl mu/kernel for load distribution. They demonstrate /spl mu/kernel benefits by presenting a load distribution implementation on top of the Mach /spl mu/kernel. The load distribution scheme is based on three main parts: task migration, load information management, and distributed scheduling. It is shown that it is relatively easy to implement transparent task migration on top of a message passing /spl mu/kernel, such as Mach. Changing the distributed scheduler so that it considers IPC and VM load in addition to processor load is straightforward, and it yields up to a 30% improvement in average execution time. The authors investigate distributed scheduling strategies in the light of the extended load information management. Finally, they compare load distribution on various OS architectures.<<ETX>>","PeriodicalId":251095,"journal":{"name":"1993 4th Workshop on Future Trends of Distributed Computing Systems","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Load distribution on microkernels\",\"authors\":\"D. Milojicic, P. Giese, W. Zint\",\"doi\":\"10.1109/FTDCS.1993.344219\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors investigate the appropriateness of a /spl mu/kernel for load distribution. They demonstrate /spl mu/kernel benefits by presenting a load distribution implementation on top of the Mach /spl mu/kernel. The load distribution scheme is based on three main parts: task migration, load information management, and distributed scheduling. It is shown that it is relatively easy to implement transparent task migration on top of a message passing /spl mu/kernel, such as Mach. Changing the distributed scheduler so that it considers IPC and VM load in addition to processor load is straightforward, and it yields up to a 30% improvement in average execution time. The authors investigate distributed scheduling strategies in the light of the extended load information management. Finally, they compare load distribution on various OS architectures.<<ETX>>\",\"PeriodicalId\":251095,\"journal\":{\"name\":\"1993 4th Workshop on Future Trends of Distributed Computing Systems\",\"volume\":\"117 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1993 4th Workshop on Future Trends of Distributed Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FTDCS.1993.344219\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1993 4th Workshop on Future Trends of Distributed Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FTDCS.1993.344219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The authors investigate the appropriateness of a /spl mu/kernel for load distribution. They demonstrate /spl mu/kernel benefits by presenting a load distribution implementation on top of the Mach /spl mu/kernel. The load distribution scheme is based on three main parts: task migration, load information management, and distributed scheduling. It is shown that it is relatively easy to implement transparent task migration on top of a message passing /spl mu/kernel, such as Mach. Changing the distributed scheduler so that it considers IPC and VM load in addition to processor load is straightforward, and it yields up to a 30% improvement in average execution time. The authors investigate distributed scheduling strategies in the light of the extended load information management. Finally, they compare load distribution on various OS architectures.<>