FairCloud: sharing the network in cloud computing
FairCloud: sharing the network in cloud computing
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DOI：
10.1145/2342356.2342396
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发表时间：
2011-11
期刊：
影响因子：
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通讯作者：
L. Popa;Gautam Kumar;Mosharaf Chowdhury;A. Krishnamurthy;Sylvia Ratnasamy;I. Stoica
中科院分区：
文献类型：
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作者：
L. Popa;Gautam Kumar;Mosharaf Chowdhury;A. Krishnamurthy;Sylvia Ratnasamy;I. Stoica
与CPU和内存类似，网络是云中的关键和共享资源。然而，与其他资源不同的是，它既不是按比例共享的，也不是云提供商提供的网络带宽的最低保证。网络更难以共享的原因是，虚拟机（VM）X的网络分配不仅取决于与X在同一台机器上运行的VM，还取决于X与之通信的其他VM以及X使用的每条链路上的交叉流量。在本文中，我们从上述要求-支付比例和最低保证-开始，并表明在共享云网络时，特定于网络的挑战会导致根本的权衡。然后，我们提出了一组属性来明确表达这些权衡。最后，我们提出了三个分配政策，使我们能够导航的权衡空间。我们通过仿真和测试台实验来评估它们的特性，以表明它们可以提供最低限度的保证，并实现比现有解决方案更好的比例性。
The network, similar to CPU and memory, is a critical and shared resource in the cloud. However, unlike other resources, it is neither shared proportionally to payment, nor do cloud providers offer minimum guarantees on network bandwidth. The reason networks are more difficult to share is because the network allocation of a virtual machine (VM) X depends not only on the VMs running on the same machine with X, but also on the other VMs that X communicates with and the cross-traffic on each link used by X. In this paper, we start from the above requirements--payment proportionality and minimum guarantees--and show that the network-specific challenges lead to fundamental tradeoffs when sharing cloud networks. We then propose a set of properties to explicitly express these tradeoffs. Finally, we present three allocation policies that allow us to navigate the tradeoff space. We evaluate their characteristics through simulation and testbed experiments to show that they can provide minimum guarantees and achieve better proportionality than existing solutions.