Cannot take my allocation: Enforcing fairness by considering demand and payment in clouds

Gyuyeong Kim, Wonjun Lee
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Abstract

Cloud data centers provide cost-effective and elastic resource management environments through multi-tenancy. However, we observe that existing policies cause unfair bandwidth allocation. A max-min based policy allocates lower bandwidth to a tenant whose the size of flows is mostly large, and DCTCP falls short of high utilization and minimum performance guarantee. Moreover, commodity clouds are vulnerable to denial of service (DoS) attacks, which can be attempted by a malicious tenant. The aforementioned deficiencies decrease the motivation to use clouds and revenue of cloud providers. To address the problem, we propose Spiderweb, a fair network sharing mechanism for cloud data centers, which allocates bandwidth to tenants in proportion to the amount of demand and payment during oversubscription. Our proposal delivers both a cloud-specialized fair network sharing environment and robustness against DoS attacks. We show that our proposal meets the desirable sharing properties including proportional fairness, performance isolation, and high utilization through analytical allocation scenarios.
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不能拿走我的分配:通过考虑云中的需求和支付来强制公平
云数据中心通过多租户提供经济高效、弹性的资源管理环境。然而,我们观察到现有的政策导致了不公平的带宽分配。最大最小策略分配给流量较大的租户的带宽较低,无法实现高利用率和最低性能保证。此外,商品云容易受到拒绝服务(DoS)攻击,恶意租户可能会尝试这种攻击。上述缺陷降低了使用云的动机和云提供商的收入。为了解决这个问题,我们提出了Spiderweb,这是一种公平的云数据中心网络共享机制,它在超额订阅期间根据需求和支付的数量按比例分配带宽给租户。我们的建议提供了一个云专用的公平网络共享环境和抗DoS攻击的鲁棒性。通过分析分配场景,我们证明了我们的提议满足了期望的共享特性,包括比例公平、性能隔离和高利用率。
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