You Can't Always Get What You Want: Achieving Differentiated Service Levels with Pricing Agents in a Storage Grid

H. H. Huang, A. Grimshaw, John F. Karpovich
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引用次数: 4

Abstract

We have designed a new storage grid called Storage@desk to harness unused storage available on desktop machines and turn it into a useful resource for clients. Given the complexity of managing clientspecific QoS requirements, and the dynamism inherent in supply and demand for resources, even a highly experienced system administrator cannot effectively manage resource allocation. In this paper, we present a market-based resource allocation model where pricing agents help resource providers adjust the prices as demand fluctuates. With derivative-following pricing, an agent requires no knowledge of competitors or consumers, which reduces communication overheads and avoids bottlenecks in the system. Individual clients need a variety of service levels and are in competition in scarce resources. Under the budget constraints, the consumers can't always get what they want. The budgets serve as an incentive for the consumers to react to the price signals. We simulate our model using real world trace data and the results show that, using this model, the system allows the consumers to achieve QoS goals under sufficient budgets and degrade in accordance with relative budget amounts.
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你不能总是得到你想要的:在存储网格中使用定价代理实现差异化的服务水平
我们设计了一个名为Storage@desk的新存储网格,以利用桌面机器上可用的未使用存储,并将其转化为对客户机有用的资源。考虑到管理特定于客户机的QoS需求的复杂性,以及资源供求中固有的动态性,即使是经验丰富的系统管理员也无法有效地管理资源分配。本文提出了一个基于市场的资源配置模型,其中定价代理帮助资源提供者根据需求波动调整价格。使用衍生品跟随定价,代理不需要了解竞争对手或消费者,这减少了通信开销并避免了系统中的瓶颈。个人客户需要不同的服务水平,并且在稀缺资源上存在竞争。在预算限制下,消费者并不总是能得到他们想要的东西。预算可以激励消费者对价格信号做出反应。我们使用真实世界的跟踪数据来模拟我们的模型,结果表明,使用该模型,系统允许消费者在足够的预算下实现QoS目标,并根据相对的预算数量进行降级。
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