{"title":"一种异构移动无线网络中负载均衡QoS提供的分布式资源管理方案","authors":"S. Ahmad, M. Qadir, M. Akbar","doi":"10.1145/1454586.1454598","DOIUrl":null,"url":null,"abstract":"Quality of Service (QoS) provisioning in wireless networks quickly leads to scalability problem due to hard resource allocation of each session. Heterogeneous wireless environment provides alternative resources, but the complexity of handling such system is very high. In this paper, we present a virtual resource provisioning (VPR) scheme that collaborates with co-located wireless networks regarding resource availability and estimates resource release in near future to maintain predictive resource list for optimal resource utilization. Resource utilization is further supported by a fine-grained QoS service sub-class design for making precise resource allocation. These sub-classes map demanded QoS requirements to their subset, enabling more resource availability. Results show that much higher call admission rates are achieved by integrating virtual resource provisioning and load-balancing approach.","PeriodicalId":369459,"journal":{"name":"Q2S and Security for Wireless and Mobile Networks","volume":"158 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A distributed resource management scheme for load-balanced QoS provisioning in heterogeneous mobile wireless networks\",\"authors\":\"S. Ahmad, M. Qadir, M. Akbar\",\"doi\":\"10.1145/1454586.1454598\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quality of Service (QoS) provisioning in wireless networks quickly leads to scalability problem due to hard resource allocation of each session. Heterogeneous wireless environment provides alternative resources, but the complexity of handling such system is very high. In this paper, we present a virtual resource provisioning (VPR) scheme that collaborates with co-located wireless networks regarding resource availability and estimates resource release in near future to maintain predictive resource list for optimal resource utilization. Resource utilization is further supported by a fine-grained QoS service sub-class design for making precise resource allocation. These sub-classes map demanded QoS requirements to their subset, enabling more resource availability. Results show that much higher call admission rates are achieved by integrating virtual resource provisioning and load-balancing approach.\",\"PeriodicalId\":369459,\"journal\":{\"name\":\"Q2S and Security for Wireless and Mobile Networks\",\"volume\":\"158 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Q2S and Security for Wireless and Mobile Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1454586.1454598\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Q2S and Security for Wireless and Mobile Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1454586.1454598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A distributed resource management scheme for load-balanced QoS provisioning in heterogeneous mobile wireless networks
Quality of Service (QoS) provisioning in wireless networks quickly leads to scalability problem due to hard resource allocation of each session. Heterogeneous wireless environment provides alternative resources, but the complexity of handling such system is very high. In this paper, we present a virtual resource provisioning (VPR) scheme that collaborates with co-located wireless networks regarding resource availability and estimates resource release in near future to maintain predictive resource list for optimal resource utilization. Resource utilization is further supported by a fine-grained QoS service sub-class design for making precise resource allocation. These sub-classes map demanded QoS requirements to their subset, enabling more resource availability. Results show that much higher call admission rates are achieved by integrating virtual resource provisioning and load-balancing approach.