SDN和Fog环境下基于优先级的虚拟机分配与带宽管理

Mahmoud Al Ahmad, S. Patra, Suman Bhattacharya, S. Rout, S. Mohanty, Subham Choudhury, Rabindra Kumar Barik
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引用次数: 1

摘要

如今,雾辅助云是计算领域的一个主导领域,其中数据中心从事为具有不同资源需求和优先级的各种应用程序提供服务。网络拥塞会导致应用程序的性能下降。一些关键任务应用程序即使在拥塞期间也需要传输数据。在软件定义网络(SDN)云中,有可能动态地重新配置网络流,以避免关键应用程序的这种拥塞。本文提出了一种考虑主机和网络配置的基于优先级的虚拟机布局算法。它尝试将高优先级应用程序的虚拟机与主机紧密连接,以减少其他应用程序造成的网络拥塞。关键应用程序所需的带宽也通过在SDN控制器负责的每个网络设备上实现优先级队列来管理。实验表明,在多租户应用中,所提出的组合方法通过分配足够的资源和满足服务质量(QoS)要求,解决了高优先级应用的目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Priority Based VM Allocation and Bandwidth Management in SDN and Fog Environment
Nowadays, fog assisted cloud is a dominant field of computing where data centers are engaged in providing services to various applications having distinct resource needs and priorities. Congestion in the network causes performance degradation in the applications. Some mission-critical applications need to data transfer even during the congestion period. In Software Defined Networks (SDN) clouds, there is a possibility of reconfiguration of the network flows dynamically to avoid such congestions for critical applications. In this paper, a priority-based virtual machine (VM) placement algorithm is proposed which takes care of the hosts and the network configuration. It tries to place the VMs of high-priority applications closely connected to hosts for reducing the network congestion caused by the other applications. The needed bandwidth for the critical applications is also managed by implementing a priority queue on each network device taken care of by SDN controller. The experiment shows that in multi-tenant applications, the proposed combined approach solves the purpose of high priority applications by allocating sufficient resources and meeting the Quality of Service (QoS) requirements.
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