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F2C: Enabling Fair and Fine-Grained Resource Sharing in Multi-Tenant IaaS Clouds

机译:F2C:在多租户IaaS云中启用公平且细粒度的资源共享

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摘要

This paper presents F2C, a cooperative resource management system for Infrastructure-as-a-Service (IaaS) clouds. Inspired by group-buying mechanisms in real product and service markets, F2C advocates a group of cloud tenants (called tenant coalition) to buy resource capacity in bulk and share the resource pool in the form of virtual machines (VMs). Tenant coalitions leads to vast opportunities for fine-grained resource sharing among multiple tenants. However, resource sharing, especially for multiple resource types, poses several challenging problems in pay-as-you-use cloud environments, such as sharing incentive, free-riding, lying and economic fairness. To address those problems, we propose Reciprocal Resource Fairness (RRF) , a novel resource allocation mechanism to enable fair sharing on multiple resource types within a tenant coalition. RRF is implemented in two complementary and hierarchical mechanisms: inter-tenant resource trading and intra-tenant weight adjustment. RRF satisfies several highly desirable properties to ensure fairness. We implement F2C in Xen platform. The experimental results show F2C is promising for both cloud providers and tenants. For cloud providers, F2C improves VM density and cloud providers’ revenue by 2.2X compared to the current IaaS cloud models. For tenants, F2C improves application performance by 45 percent and guarantees 95 percent economic fairness among multiple tenants.
机译:本文介绍了F2C,这是一种用于基础架构即服务(IaaS)云的协作资源管理系统。受实际产品和服务市场中的团购机制的启发,F2C提倡一组云租户(称为租户联盟)来批量购买资源容量并以虚拟机(VM)的形式共享资源池。租户联盟为在多个租户之间共享细粒度资源带来了巨大的机会。但是,资源共享(尤其是针对多种资源类型的资源共享)在按使用付费的云环境中提出了一些具有挑战性的问题,例如共享激励,搭便车,撒谎和经济公平。为了解决这些问题,我们提出了互惠资源公平(RRF),这是一种新颖的资源分配机制,可以使租户联盟中的多种资源类型实现公平共享。 RRF以两种互补的分层机制实施:租户间资源交易和租户内权重调整。 RRF满足几个非常理想的属性,以确保公平。我们在Xen平台上实施F2C。实验结果表明,F2C对于云提供商和租户都是有希望的。对于云提供商,与当前的IaaS云模型相比,F2C将VM密度和云提供商的收入提高了2.2倍。对于租户,F2C将应用程序性能提高了45%,并保证了多个租户之间95%的经济公平性。

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