Server-storage virtualization: Integration and load balancing in data centers
Server-storage virtualization: Integration and load balancing in data centers
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DOI：
10.5555/1413370.1413424
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发表时间：
2008-11
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通讯作者：
Aameek Singh;M. Korupolu;Dushmanta Mohapatra
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作者：
Aameek Singh;M. Korupolu;Dushmanta Mohapatra
我们描述了一个集成了服务器和存储虚拟化技术的敏捷数据中心的设计。我们还展示了如何利用这种集成的敏捷性，在数据中心跨多个资源层（服务器、交换机和存储）实现无中断负载平衡。我们提出了一种新的负载平衡算法VectorDot处理的层次和多维资源约束，在这样的系统。该算法的灵感来自于成功的Toyoda多维背包方法，是同类中的第一个。我们在一系列合成和真实的数据中心测试平台上评估了我们的系统，这些测试平台包括VMware ESX服务器、IBM SAN卷控制器、Cisco和Brocade交换机。在不同条件下的实验表明，我们的系统的端到端的有效性和VectorDot的能力，有效地消除服务器，交换机和存储节点上的过载。
We describe the design of an agile data center with integrated server and storage virtualization technologies. Such data centers form a key building block for new cloud computing architectures.We also show how to leverage this integrated agility for non-disruptive load balancing in data centers across multiple resource layers - servers, switches, and storage. We propose a novel load balancing algorithm called VectorDot for handling the hierarchical and multi-dimensional resource constraints in such systems. The algorithm, inspired by the successful Toyoda method for multi-dimensional knapsacks, is the first of its kind. We evaluate our system on a range of synthetic and real data center testbeds comprising of VMware ESX servers, IBM SAN Volume Controller, Cisco and Brocade switches. Experiments under varied conditions demonstrate the end-to-end validity of our system and the ability of VectorDot to efficiently remove overloads on server, switch and storage nodes.