{"title":"作业管理服务的故障恢复框架","authors":"Mingjing Lan, L. An","doi":"10.1109/MINES.2012.17","DOIUrl":null,"url":null,"abstract":"To solve the problem of service failure for job management services, a new failure recovery Framework named J-FRF is given. During the life cycle of service and job, states are monitored and contexts are saved. When service failure occurs, the framework takes advantage of the persistent contexts to realize rapid recovery of service and job. The experiments show that J-FRF has a high recovery success rate and lower recovery time, and can be able to better handle the failure of job management services.","PeriodicalId":208089,"journal":{"name":"2012 Fourth International Conference on Multimedia Information Networking and Security","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Failure Recovery Framework for Job Management Services\",\"authors\":\"Mingjing Lan, L. An\",\"doi\":\"10.1109/MINES.2012.17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To solve the problem of service failure for job management services, a new failure recovery Framework named J-FRF is given. During the life cycle of service and job, states are monitored and contexts are saved. When service failure occurs, the framework takes advantage of the persistent contexts to realize rapid recovery of service and job. The experiments show that J-FRF has a high recovery success rate and lower recovery time, and can be able to better handle the failure of job management services.\",\"PeriodicalId\":208089,\"journal\":{\"name\":\"2012 Fourth International Conference on Multimedia Information Networking and Security\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Multimedia Information Networking and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MINES.2012.17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Multimedia Information Networking and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MINES.2012.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Failure Recovery Framework for Job Management Services
To solve the problem of service failure for job management services, a new failure recovery Framework named J-FRF is given. During the life cycle of service and job, states are monitored and contexts are saved. When service failure occurs, the framework takes advantage of the persistent contexts to realize rapid recovery of service and job. The experiments show that J-FRF has a high recovery success rate and lower recovery time, and can be able to better handle the failure of job management services.