3 windows azure 4 rackspace httpwwwrackspacecom 5

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3 Windows Azure, . 4 Rackspace, . 5 Google Compute Engine, . 6 GoGrid, . 7 International Data Corporation, .
3 29.8 62.1 5.3 14 12.3 31.1 0 20 40 60 80 100 120 2013 2017 Billion dollars Software-as-a-Service Platform-as-a-Service Infrastructure-as-a-Servive $107.2 $47.4 Figure 1.2: Worldwide public IT cloud services spending in billion dollars by service model. 7 improving the resource utilization and increasing the Return On Investment (ROI) [8]. This however, does not remove the need for reducing cost and increasing revenue to ensure the business success and techniques to sell the services competitively while still creating profit. In other words, cloud providers need to obtain the highest possible profit from selling available capacity while they honor the Quality of Service (QoS) level agreed with the clients. As appetite for cloud computing grows and more competitors emerge, the problem of maximizing profit becomes more complicated. Therefore, it will be increasingly impor- tant to develop market mechanisms for managing, trading, and pricing cloud resources. The profit maximization problem of IaaS cloud providers fosters an interesting stream of interdisciplinary research between computer science and economics. On the one hand, IaaS cloud providers require to minimize their cost using resource management tech- niques such as dynamic VM consolidation [8]. On the other hand, they must maximize revenue using techniques such as adopting differentiated pricing models [32], market segmentation [127], mechanism design [138] and demand forecasting [139].
4 Introduction Federation Spot market and Future Market Chapter (4) Part 1 Cloud Federation IaaS Cloud Provider IaaS Cloud Provider User Interface IaaS Cloud Provider Usage-based Subscription-based Revenue Management System (Chapter 5) Outsourcing (Chapter 3) Contributing (Chapter 3) Cloud Coordinator (Chapter 3) Part 2 Single Cloud Demand-Oriented Price Time Spot market (Chapter 6 & 7) IaaS Cloud Provider Cloud Customers Figure 1.3: Market and economics-inspired mechanisms for IaaS cloud providers profit maximization.
1.1 Motivations 5 This thesis focuses on the profit maximization problem of IaaS cloud providers. We investigate different market and economics-inspired mechanisms such as resource man- agement, future markets, revenue management, and mechanism design to address the IaaS cloud providers’ profit maximization problem as shown in Figure 1.3. Our pro- posed techniques are developed for two main different scenarios: 1) when the provider acts solely using their in-house resources to serve customers and 2) when it participates in a cloud federation and benefits from outsourcing requests. The remaining parts of this chapter detail the need for IaaS cloud provider profit maximization and discuss the research problems, contributions, and organization of the thesis.

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