{"title":"异构环境下的主动分布式QoS协商方法:QoS信令开销的评估","authors":"A. Zouari, L. Suciu, J. Bonnin, K. Guillouard","doi":"10.1109/NGMAST.2008.55","DOIUrl":null,"url":null,"abstract":"The recent boom in radio access technologies and their diversification have opened the way to new studies on quality of services (QoS) management in such heterogeneous environments. Indeed, the need for efficient QoS mechanisms is increasing since these new technologies provide scarce resources (e.g. unpredictable bandwidth and variable error rates). In this environment, nomadic hosts have a greater choice of access technologies. Thus, keeping the same QoS level for one user's application, anywhere user is connecting, may require some mechanisms to control QoS in each target network. In this framework, we propose to adopt a proactive and dynamic negotiation approach coupled with the hand over decision algorithm implemented in (L. Suciu et al., 2007). In this approach, decision parameters (e.g. throughput, transmission delay, etc.) can be distributed between several hierarchical entities in the network. If one decision parameter's value should be negotiated, negotiation process will be immediately started before taking the hand over decision. A comparison of several QoS parameter distributions (e.g. QoS parameters are stored either in mobile terminal or in control entity located more or less deeply in the core network) has been carried out thanks to a mathematical model, which takes into account the size of all messages necessary to achieve QoS parameter negotiation during a mobility scenario.","PeriodicalId":247507,"journal":{"name":"2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Proactive and Distributed QoS Negotiation Approach for Heterogeneous Environments: An Evaluation of QoS Signalling Overhead\",\"authors\":\"A. Zouari, L. Suciu, J. Bonnin, K. Guillouard\",\"doi\":\"10.1109/NGMAST.2008.55\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The recent boom in radio access technologies and their diversification have opened the way to new studies on quality of services (QoS) management in such heterogeneous environments. Indeed, the need for efficient QoS mechanisms is increasing since these new technologies provide scarce resources (e.g. unpredictable bandwidth and variable error rates). In this environment, nomadic hosts have a greater choice of access technologies. Thus, keeping the same QoS level for one user's application, anywhere user is connecting, may require some mechanisms to control QoS in each target network. In this framework, we propose to adopt a proactive and dynamic negotiation approach coupled with the hand over decision algorithm implemented in (L. Suciu et al., 2007). In this approach, decision parameters (e.g. throughput, transmission delay, etc.) can be distributed between several hierarchical entities in the network. If one decision parameter's value should be negotiated, negotiation process will be immediately started before taking the hand over decision. A comparison of several QoS parameter distributions (e.g. QoS parameters are stored either in mobile terminal or in control entity located more or less deeply in the core network) has been carried out thanks to a mathematical model, which takes into account the size of all messages necessary to achieve QoS parameter negotiation during a mobility scenario.\",\"PeriodicalId\":247507,\"journal\":{\"name\":\"2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NGMAST.2008.55\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NGMAST.2008.55","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
近年来无线电接入技术的蓬勃发展及其多样化为异构环境下服务质量(QoS)管理的新研究开辟了道路。事实上,由于这些新技术提供了稀缺的资源(例如,不可预测的带宽和可变的错误率),对有效的QoS机制的需求正在增加。在这种环境中,游牧主机有更多的访问技术选择。因此,无论用户在何处连接,为一个用户的应用程序保持相同的QoS级别,可能需要一些机制来控制每个目标网络中的QoS。在这个框架中,我们建议采用一种主动和动态的协商方法,并结合(L. Suciu et al., 2007)中实现的移交决策算法。在这种方法中,决策参数(如吞吐量、传输延迟等)可以分布在网络中的多个分层实体之间。如果需要协商某一决策参数的值,则立即启动协商过程,然后再进行移交决策。通过一个数学模型,对几种QoS参数分布(例如,QoS参数存储在移动终端或位于核心网或多或少深处的控制实体中)进行了比较,该模型考虑了在移动场景中实现QoS参数协商所需的所有消息的大小。
A Proactive and Distributed QoS Negotiation Approach for Heterogeneous Environments: An Evaluation of QoS Signalling Overhead
The recent boom in radio access technologies and their diversification have opened the way to new studies on quality of services (QoS) management in such heterogeneous environments. Indeed, the need for efficient QoS mechanisms is increasing since these new technologies provide scarce resources (e.g. unpredictable bandwidth and variable error rates). In this environment, nomadic hosts have a greater choice of access technologies. Thus, keeping the same QoS level for one user's application, anywhere user is connecting, may require some mechanisms to control QoS in each target network. In this framework, we propose to adopt a proactive and dynamic negotiation approach coupled with the hand over decision algorithm implemented in (L. Suciu et al., 2007). In this approach, decision parameters (e.g. throughput, transmission delay, etc.) can be distributed between several hierarchical entities in the network. If one decision parameter's value should be negotiated, negotiation process will be immediately started before taking the hand over decision. A comparison of several QoS parameter distributions (e.g. QoS parameters are stored either in mobile terminal or in control entity located more or less deeply in the core network) has been carried out thanks to a mathematical model, which takes into account the size of all messages necessary to achieve QoS parameter negotiation during a mobility scenario.