Load balancing - towards balanced delay guarantees in NFV/SDN
Load balancing - towards balanced delay guarantees in NFV/SDN
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DOI：
10.1109/nfv-sdn.2016.7919504
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发表时间：
2016-11
期刊：
影响因子：
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通讯作者：
Hao Wang;J. Schmitt
中科院分区：
文献类型：
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作者：
Hao Wang;J. Schmitt
负载平衡的目标是多种多样的。我们可以将负载分配到服务器，以实现相同的利用率或平均延迟。然而，这些产品并不完全适合虚拟化或软件定义的网络。首先，假设同构服务器容量比较困难。即使对于具有相同容量的两个（虚拟化）功能，客户看到的容量也可能是异构的，这仅仅是因为它们属于不同的提供商，由其他人共享，或者位于不同的位置，并且通信成本不同。异构的服务器容量将模糊保持相同利用率的目标。其次，通常这些网络中的延迟度量是（随机）界而不是平均值。在本文中，我们参数化的服务器容量，并使用随机延迟界作为度量，以进一步支持推断负载平衡。我们还将负载平衡过程建模为马尔可夫调制过程，并观察其参数对实现平衡的影响。该模型将有利于虚拟化或软件定义网络中负载均衡功能的实现和基础设施的设计。
The goals of load balancing are diverse. We may distribute the load to servers in order to achieve the same utilizations or average latencies. However, these goods are not a perfect fit in virtualized or software-defined networks. First, it is more difficult to assume homogeneous server capacities. Even for two (virtualized) functions with the same capacities, the capacities seen by the customer might be heterogeneous simply because they belong to different providers, are shared by others, or locate themselves differently and the communication costs are different. Heterogeneous server capacity will blur the aim of keeping the same utilizations. Second, usually the metric of latency in those networks is the (stochastic) bound instead of average value. In this paper, we parameterize the server capacities, and use the stochastic latency bound as the metric to further support inferring load balancing. We also model the load balancing process as a Markov-modulated process and observe the influence of its parameters onto achieving balance. The proposed model will benefit the load balancing function implementation and infrastructure design in virtualized or software-defined networks.