• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>The mediterranean journal of electronics and communications >Campus Wireless Network Classification for Enterprise Adoption; Perspectives, and Dimensions for Large Scale Computing
【24h】

Campus Wireless Network Classification for Enterprise Adoption; Perspectives, and Dimensions for Large Scale Computing

机译：适用于企业采用的校园无线网络分类；大规模计算的观点和维度

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Owing to large scale computing using the cloud, services can be provisioned with reliable QoS performance. Existing Campus Wireless Network have various challenges in terms of performance, ease of integration, and cost effectiveness. In this paper, we make a distinct classification of functional network models, their attributes and characteristics. Research gaps were identified and a proposed autonomic web services architecture that manages both the performance of service users and the interconnection of WiMax-Wifi infrastructure into a service overlay network was proposed. This represents an intelligent Campus Wireless Network Architecture for services convergence. Low scale and medium scale computing networks were also discussed while outlining their issues. For the large scale computing network model, the advantages of this approach include the easing of management tasks through the autonomic systems ability to self-configure, self-optimise and self-heal. Efficient resource management, virtualization and WiMax connectivity interfaces are the core features. In the proposed architecture, the above were captured as they are incorporated into a structured distributed user peer-to-peer cloud network within the autonomic web services container/servers. This architecture is inherently a two tier-hierarchical and distributed model supporting Service Level Agreement (SLA) compliant for deployed end user application services. This paper have also simplified the management of the system by adhering to autonomic principles of system decomposition while guaranteeing the performance of the system by tightly integrating SLA compliance and migrating services between containers/servers to preserve QoS. This research is still on-going but have developed a workable system for both service deployment and migration without overhauling the generic platforms in existing systems. In the long run, we shall benefit from the improved resilience with improvement in overall performance.
机译：由于使用云进行了大规模计算，因此可以为服务提供可靠的QoS性能。现有的园区无线网络在性能，易于集成和成本效益方面面临各种挑战。在本文中，我们对功能网络模型，其属性和特征进行了不同的分类。确定了研究空白，并提出了一种既可管理服务用户性能又可将WiMax-Wifi基础设施互连到服务覆盖网络的自治Web服务体系结构。这代表了用于服务融合的智能园区无线网络架构。还概述了低级和中型计算网络，同时概述了它们的问题。对于大型计算网络模型，此方法的优点包括通过自主系统自我配置，自我优化和自我修复的能力来简化管理任务。高效的资源管理，虚拟化和WiMax连接接口是核心功能。在提出的体系结构中，以上内容是在将它们合并到自主Web服务容器/服务器内的结构化分布式用户对等云网络中时捕获的。该体系结构本质上是一个两层的分布式模型，支持已部署的最终用户应用程序服务的服务级别协议（SLA）。本文还通过遵循系统分解的自主原则简化了系统的管理，同时通过紧密集成SLA合规性以及在容器/服务器之间迁移服务以保留QoS来保证系统性能。这项研究仍在进行中，但是已经开发了一种适用于服务部署和迁移的可行系统，而没有大修现有系统中的通用平台。从长远来看，我们将受益于弹性的提高和整体性能的提高。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号