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Strategic Bidding for Cloud Resources under Dynamic Pricing Schemes

机译:动态定价方案下云资源的战略招标

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Cloud computing offers computing and storage services which can be dynamically developed, composed and deployed on virtualized infrastructure. Cloud providers holding excess spare capacity, incentivize customers to purchase it by selling them in a market (spot market), where the prices are derived dynamically based on supply and demand. The cloud providers allow clients to bid on this excess capacity by allocating resources to bidders while their bids exceed a intermittently changing dynamic spot price. In this paper we have used game theory to model the bidding strategies of bidders in a spot market who are attempting to procure the cloud instances, as a prisoner dilemma game. We then analyze real time data from Amazon EC2 spot market to validate this model. In a single shot prisoner dilemma game mutual defection is the Nash equilibrium. We find that a majority (approx. 85%) of bidders choose to Defect which is in-line with the single shot classical prisoner dilemma game. However considering that most bidders in a spot market are repetitive bidders, we propose a Co-operation strategy which is in-line with the Iterated Prisoner Dilemma Game.
机译:云计算提供了可以在虚拟化基础架构上动态开发,组合和部署的计算和存储服务。拥有多余备用容量的云提供商会鼓励客户通过在一个市场(现货市场)中出售它们来购买它,该市场根据供需动态得出价格。云提供商通过在竞标价格超过间歇变化的动态现货价格时将资源分配给竞标人,来允许客户对这种多余的容量进行竞标。在本文中,我们使用博弈论来对试图购买云实例的现货市场竞标者的竞标策略进行建模,以作为囚徒困境游戏。然后,我们分析来自Amazon EC2现货市场的实时数据以验证该模型。在一次囚徒困境博弈中,相互背叛是纳什均衡。我们发现,大多数竞标者(大约85%)选择Defect,这与经典的单身囚徒困境游戏是一致的。但是,考虑到现货市场中的大多数竞标者是重复竞标者,我们提出了一种与迭代囚徒困境博弈相一致的合作策略。

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