{"title":"分布式CORBA应用程序的分散资源管理和容错","authors":"C. Reverte, P. Narasimhan","doi":"10.1109/WORDS.2003.1267503","DOIUrl":null,"url":null,"abstract":"Assigning an application’s fault-tolerance properties (e.g., replication style, checkpointing frequency) statically, and in an arbitrary manner, can lead to the application not achieving its target resilience and performance. The resource management infrastructure that we have developed transparently determines a CORBA application’s resource usage and its rate/pattern of invocation across a distributed system. Using this information, our infrastructure makes more informed decisions about the application’s fault-tolerance properties, and dynamically adapts these decisions, as faults occur, and as resources are added and removed from the system. We have designed our prototype to be decentralized so that it is scalable and does not itself constitute a single point of failure.","PeriodicalId":350761,"journal":{"name":"2003 The Ninth IEEE International Workshop on Object-Oriented Real-Time Dependable Systems","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Decentralized Resource Management and Fault-Tolerance for Distributed CORBA Applications\",\"authors\":\"C. Reverte, P. Narasimhan\",\"doi\":\"10.1109/WORDS.2003.1267503\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Assigning an application’s fault-tolerance properties (e.g., replication style, checkpointing frequency) statically, and in an arbitrary manner, can lead to the application not achieving its target resilience and performance. The resource management infrastructure that we have developed transparently determines a CORBA application’s resource usage and its rate/pattern of invocation across a distributed system. Using this information, our infrastructure makes more informed decisions about the application’s fault-tolerance properties, and dynamically adapts these decisions, as faults occur, and as resources are added and removed from the system. We have designed our prototype to be decentralized so that it is scalable and does not itself constitute a single point of failure.\",\"PeriodicalId\":350761,\"journal\":{\"name\":\"2003 The Ninth IEEE International Workshop on Object-Oriented Real-Time Dependable Systems\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2003 The Ninth IEEE International Workshop on Object-Oriented Real-Time Dependable Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WORDS.2003.1267503\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2003 The Ninth IEEE International Workshop on Object-Oriented Real-Time Dependable Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WORDS.2003.1267503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decentralized Resource Management and Fault-Tolerance for Distributed CORBA Applications
Assigning an application’s fault-tolerance properties (e.g., replication style, checkpointing frequency) statically, and in an arbitrary manner, can lead to the application not achieving its target resilience and performance. The resource management infrastructure that we have developed transparently determines a CORBA application’s resource usage and its rate/pattern of invocation across a distributed system. Using this information, our infrastructure makes more informed decisions about the application’s fault-tolerance properties, and dynamically adapts these decisions, as faults occur, and as resources are added and removed from the system. We have designed our prototype to be decentralized so that it is scalable and does not itself constitute a single point of failure.