Energy informatics is expected to be significant to improve energy trading efficiency. In this framework, the cooperation among small-scale electricity suppliers and the efficient economic incentives to consumers play important roles to maximize the profits of each small-scale electricity supplier and a single aggregator. The aggregator first collects electricity from the suppliers and/or purchases electricity from the main macrogrid, then sells the electricity to the consumers. A coalitional game model in the presence of direct trading among suppliers is presented and a fair revenue division scheme based on the asymptotic Shapley value is derived. Moreover, an optimal contract-based scheme for electricity trading between the aggregator and consumers is proposed. The scheme enables the aggregator to generate more profits when it is for-profit and preferably supports it to serve all consumers when it is non-for-profit.

Cloud multimedia services provide an efficient, flexible, and scalable data processing method and offer a solution for the user demands of high quality and diversified multimedia. As intelligent mobile phones and wireless networks become more and more popular, network services for users are no longer limited to the home. Multimedia information can be obtained easily using mobile devices, allowing users to enjoy ubiquitous network services. Considering the limited bandwidth available for mobile streaming and different device requirements, this study presented a network and device-aware Quality of Service (QoS) approach that provides multimedia data suitable for a terminal unit environment via interactive mobile streaming services, further considering the overall network environment and adjusting the interactive transmission frequency and the dynamic multimedia transcoding, to avoid the waste of bandwidth and terminal power. Finally, this study realized a prototype of this architecture to validate the feasibility of the proposed method. According to the experiment, this method could provide efficient self-adaptive multimedia streaming services for varying bandwidth environments.

The clock signal and clock skew become more and more important for the circuit performance. Since there are salient shortcomings in the conventional topology construction algorithms for designing a clock network, the multi-level model of clock binary tree is built, and the binary tree construction algorithm of clock signal based on multi-level genetic algorithm (MLGA) is presented. The experiments on random test cases and standard benchmark test cases show that multi-level genetic algorithm can produce much better clock network design in most cases when compared with conventional heuristic algorithms.