PAM & PAL: Policy-Aware Virtual Machine Migration and Placement in Dynamic Cloud Data Centers
PAM & PAL: Policy-Aware Virtual Machine Migration and Placement in Dynamic Cloud Data Centers
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DOI：
10.1109/infocom41043.2020.9155472
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发表时间：
2020-07
期刊：
影响因子：
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通讯作者：
Hugo Flores;Vincent Tran;Bin Tang
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文献类型：
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作者：
Hugo Flores;Vincent Tran;Bin Tang
我们将重点放在策略感知数据中心（padc）上，其中虚拟机（VM）流量出于安全和性能目的遍历一系列中间箱（mb），并提出两个新的VM放置和迁移问题。我们首先研究PAL：策略感知的虚拟机布局。给定一个具有通信VM对必须满足的数据中心策略的PADC， PAL的目标是将VM放入PADC以最小化它们的总通信成本。但是，由于padc中的动态流量负载，在一段时间后，上述VM位置可能不再是最佳的。因此，我们研究PAM：策略感知的虚拟机迁移。给定在PADC中的现有VM位置和通信VM之间的动态流量速率，PAM迁移VM是为了最小化迁移VM对和通信的总成本。我们设计了最优、近似和启发式策略感知VM放置和迁移算法。我们的实验表明，i)虚拟机迁移是一种有效的技术，将虚拟机对的总通信成本降低了25%，ii)我们的PAL算法比最先进的虚拟机放置算法（不受数据中心策略影响）高出40-50%，iii)我们的PAM算法比唯一现有的策略感知虚拟机迁移方案高出30%。
We focus on policy-aware data centers (PADCs), wherein virtual machine (VM) traffic traverses a sequence of middleboxes (MBs) for security and performance purposes, and propose two new VM placement and migration problems. We first study PAL: policy-aware virtual machine placement. Given a PADC with a data center policy that communicating VM pairs must satisfy, the goal of PAL is to place the VMs into the PADC to minimize their total communication cost. Due to dynamic traffic loads in PADCs, however, above VM placement may no longer be optimal after some time. We thus study PAM: policy-aware virtual machine migration. Given an existing VM placement in the PADC and dynamic traffic rates among communicating VMs, PAM migrates VMs in order to minimize the total cost of migration and communication of the VM pairs. We design optimal, approximation, and heuristic policyaware VM placement and migration algorithms. Our experiments show that i) VM migration is an effective technique, reducing total communication cost of VM pairs by 25%, ii) our PAL algorithms outperform state-of-the-art VM placement algorithm that is oblivious to data center policies by 40-50%, and iii) our PAM algorithms outperform the only existing policy-aware VM migration scheme by 30%.