FMDV: Dynamic Flow Migration in Virtual Network Function-Enabled Cloud Data Centers
FMDV: Dynamic Flow Migration in Virtual Network Function-Enabled Cloud Data Centers
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DOI：
10.1109/icc45855.2022.9839019
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发表时间：
2022-05
期刊：
影响因子：
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通讯作者：
Phillip Aguilera;Christopher Gonzalez;Bin Tang
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文献类型：
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作者：
Phillip Aguilera;Christopher Gonzalez;Bin Tang
虚拟网络功能（VNF）是中间盒（MB）（例如，防火墙和代理服务器），为虚拟机（VM）云应用程序提供性能和安全保证。在本文中，我们研究了一个新的VM流迁移问题的动态VNF启用的云数据中心（VDC）。目标是迁移动态VDC中的VM流，以最小化总网络流量，同时对具有有限处理能力的VNF进行负载平衡。我们将这个问题称为FMDV：动态VDC中的流迁移。针对FMDV问题，提出了一种最优高效的基于最小代价流的流迁移算法和两种基于效益的高效启发式算法。通过大量的模拟，我们表明，我们的算法是有效的，在减轻动态云流量，同时实现负载平衡之间的VNF。特别是，我们所有的算法减少动态网络流量在所有情况下，我们的最佳算法总是达到最佳的流量缓解效果，减少了高达28%的网络流量相比，没有流迁移的情况下。
Virtual Network Functions (VNFs) are software implementation of middleboxes (MBs) (e.g., firewalls and proxy servers) that provide performance and security guarantees for virtual machine (VM) cloud applications. In this paper, we study a new VM flow migration problem for dynamic VNF-enabled cloud data centers (VDCs). The goal is to migrate the VM flows in the dynamic VDCs to minimize the total network traffic while load-balancing VNFs with limited processing capabilities. We refer to the problem as FMDV: flow migration in dynamic VDCs. We propose an optimal and efficient minimum cost flow-based flow migration algorithm and two benefit-based efficient heuristic algorithms to solve the FMDV. Via extensive simulations, we show that our algorithms are effective in mitigating dynamic cloud traffic while achieving load balance among VNFs. In particular, all our algorithms reduce dynamic network traffic in all cases and our optimal algorithm always achieves the best traffic-mitigation effect, reducing the network traffic by up to 28% compared to the case without flow migration.