{"title":"用于CBIR环境的负载平衡算法","authors":"J. L. Bosque, O. D. Robles, Luis Pastor","doi":"10.1109/CAMP.2003.1598150","DOIUrl":null,"url":null,"abstract":"CBIR systems, which typically manage a great amount of multimedia information, need efficient implementations to give an answer in a proper response time. Distributed solutions on heterogeneous clusters offer a good cost/performance ratio to solve this problem. One of the critical parameters to be tuned is the load assigned to each of the cluster nodes. This paper presents a new load balancing algorithm for a parallel implementation of a CBIR system on a heterogeneous cluster. The approach is based on a dynamic, distributed, global and high scalable load balancing algorithm. Some experiments are presented to validate and verify the approach performance","PeriodicalId":443821,"journal":{"name":"2003 IEEE International Workshop on Computer Architectures for Machine Perception","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Load balancing algorithms for CBIR environments\",\"authors\":\"J. L. Bosque, O. D. Robles, Luis Pastor\",\"doi\":\"10.1109/CAMP.2003.1598150\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"CBIR systems, which typically manage a great amount of multimedia information, need efficient implementations to give an answer in a proper response time. Distributed solutions on heterogeneous clusters offer a good cost/performance ratio to solve this problem. One of the critical parameters to be tuned is the load assigned to each of the cluster nodes. This paper presents a new load balancing algorithm for a parallel implementation of a CBIR system on a heterogeneous cluster. The approach is based on a dynamic, distributed, global and high scalable load balancing algorithm. Some experiments are presented to validate and verify the approach performance\",\"PeriodicalId\":443821,\"journal\":{\"name\":\"2003 IEEE International Workshop on Computer Architectures for Machine Perception\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2003 IEEE International Workshop on Computer Architectures for Machine Perception\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAMP.2003.1598150\",\"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 IEEE International Workshop on Computer Architectures for Machine Perception","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMP.2003.1598150","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CBIR systems, which typically manage a great amount of multimedia information, need efficient implementations to give an answer in a proper response time. Distributed solutions on heterogeneous clusters offer a good cost/performance ratio to solve this problem. One of the critical parameters to be tuned is the load assigned to each of the cluster nodes. This paper presents a new load balancing algorithm for a parallel implementation of a CBIR system on a heterogeneous cluster. The approach is based on a dynamic, distributed, global and high scalable load balancing algorithm. Some experiments are presented to validate and verify the approach performance