A two-sided market mechanism for trading big data computing commodities

The big data trend is generating compute-intensive and data-intensive applications requiring unique services that are different from conventional computing services. Therefore, there is a need to fundamentally address such requirements by developing market mechanisms for managing, trading, and pricing big data computing services. The cloud computing platforms have a great potential to meet the economic requirements of market mechanisms for big data applications due to their technological advances, cost benefit ratios, and easy to use services. We design a two-sided mechanism for trading computing resources for big data applications. Our proposed mechanism is universally strategy-proof, providing incentives for both cloud providers and users to voluntarily reveal their true private information. We perform extensive experiments to evaluate our proposed mechanism.