Abstract

In this chapter, we investigate the resource trading problem in a utility and cloud computing setting where multiple tenants communicate in a Peer-to-Peer (P2P) fashion. Enabling resource trading in cloud unleashes the untapped cloud resources, thus presents a flexible solution for managing resource allocation. However, finding an efficient and fair resource allocation is challenging mainly due to the heterogeneity of resource valuations. Our work first develops a utility-oriented model to support resource negotiation and trading. Based on this model, we adopt a multiagent-based technique that allows a group of autonomous tenants to reach an efficient and fair resource allocation. Further, we add budget limitation to each tenant and propose a directed hypergraph model to facilitate resource trading amongst heterogeneous tenants. We develop a directed hypergraph model to facilitate trading decision making, and design a class of heuristic-based distributed resource trading protocols in favor of different performance metrics.

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