Strategy-Proof Dynamic Resource Pricing of Multiple Resource Types on Federated Clouds

Abstract

Abstract. There is growing interest in large-scale resource sharing with emerging architectures such as cloud computing, where globally distributed and commoditized resources can be shared and traded. Federated clouds, a topic of recent interest, aims to integrate different types of cloud resources from different providers, to increase scalability and reliability. In federated clouds, users are rational and maximize their own interest when consuming and contributing shared resources, while globally distributed resource supply and demand changes as users join and leave the cloud dynamically over time. In this paper, we propose a dynamic pricing scheme for multiple types of shared resources in federated clouds and evaluate its performance. Fixed pricing, currently used by cloud providers, does not reflect the dynamic resource price due to the changes in supply and demand. Using simulations, we compare the economic and computational efficiencies of our proposed dynamic pricing scheme with fixed pricing. We show that the user utility is increased, while the percentage of successful buyer requests and the percentage of allocated seller resources is higher with dynamic pricing.

A coordinator for scaling elastic applications across multiple clouds

“…Similarly, offer type is also defined by the sender based in Alternate Offers operations. and strategy-proof negotiation [21] can be supported by the Cloud Coordinator if the negotiation Engine is extended with these extra functionalities or if a new Negotiation Engine, supporting such features, replaces the one described in this section.…”

“…Works related to systems for market-making such as GridEcon [18], SORMA [19], and Mandi [5], as well as the works by Song et al [20], Mihailescu and Teo [21], Gomes et al [22], and Vanmechelen et al [23] concern mechanisms for creating markets, trading resources (e.g., auctions or fixed price), and also mechanisms to motivate market maintenance, i.e., study and development of techniques that motivate both resource providers and resource consumers to join and stay in the market.…”

A business-oriented Cloud federation model for real-time applications

“…The business aspect of service migration is not studied in depth. In [22] a pricing model is proposed for multiple types of shared resources in a federated Cloud, but it only focuses on the study of the allocation of shared resources joining the federated Cloud. Open Cirrus [23] is a global Cloud computing test bed which federates 10 distributed data centers across North America, Europe and Asia.…”

A Distributed Market Framework for Large-Scale Resource Sharing

“…Although simple to implement, fixed pricing is not suitable for a system with multiple providers, or where users are both sellers and buyers of resources [13]. Federated clouds, a topic of recent interest, aims to integrate cloud resources from different providers, to increase scalability and reliability [4].…”

“…For simplicity, we have considered a centralized marketmaker that manages the available resources and requests. However, our results have shown that scalability becomes an issue when the number of users or the number of resource types is increased [13]. In this paper, we focus on resource location and propose a scalable, distributed market framework.…”