{"title":"群智能算法在云呼叫中心动态负载均衡中的应用","authors":"Vesna Šešum-Čavić, E. Kühn","doi":"10.1109/SASO.2010.19","DOIUrl":null,"url":null,"abstract":"Load-Balancing is a significant problem in heterogeneous distributed systems. Nowadays we face an extreme growth of computer systems and their complexities requiring advanced intelligent solutions for load-balancing that lead to autonomic self-organizing infrastructures. There is still a need to prove that real use cases can benefit from self-* approaches. We developed a pattern, called SILBA, for such an infrastructure based on decentralized control, intelligent and exchangeable policies for load-balancing, and black-board based communication mechanisms. Different types of algorithms (both intelligent and unintelligent) were plugged into SILBA. In this paper, we present one particular use-case – a Call Center that is operated in a Cloud environment.","PeriodicalId":370044,"journal":{"name":"2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Applying Swarm Intelligence Algorithms for Dynamic Load Balancing to a Cloud Based Call Center\",\"authors\":\"Vesna Šešum-Čavić, E. Kühn\",\"doi\":\"10.1109/SASO.2010.19\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Load-Balancing is a significant problem in heterogeneous distributed systems. Nowadays we face an extreme growth of computer systems and their complexities requiring advanced intelligent solutions for load-balancing that lead to autonomic self-organizing infrastructures. There is still a need to prove that real use cases can benefit from self-* approaches. We developed a pattern, called SILBA, for such an infrastructure based on decentralized control, intelligent and exchangeable policies for load-balancing, and black-board based communication mechanisms. Different types of algorithms (both intelligent and unintelligent) were plugged into SILBA. In this paper, we present one particular use-case – a Call Center that is operated in a Cloud environment.\",\"PeriodicalId\":370044,\"journal\":{\"name\":\"2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SASO.2010.19\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SASO.2010.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Applying Swarm Intelligence Algorithms for Dynamic Load Balancing to a Cloud Based Call Center
Load-Balancing is a significant problem in heterogeneous distributed systems. Nowadays we face an extreme growth of computer systems and their complexities requiring advanced intelligent solutions for load-balancing that lead to autonomic self-organizing infrastructures. There is still a need to prove that real use cases can benefit from self-* approaches. We developed a pattern, called SILBA, for such an infrastructure based on decentralized control, intelligent and exchangeable policies for load-balancing, and black-board based communication mechanisms. Different types of algorithms (both intelligent and unintelligent) were plugged into SILBA. In this paper, we present one particular use-case – a Call Center that is operated in a Cloud environment.