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In recent years, countries all over the world consider the future internet as the country's strategic development directions, so projects about future internet have been launched by these countries. Load balancing algorithms and job allocations are main research problems in areas of resourcemanagement of future internet. In this paper, we introduce a load balancing model for future internet. We formulate the static load balancing problem in the model proposed above as noncooperative game among users and cooperative game among processors. Based on this model, we derive a load balancing algorithm for computing center. Finally, we execute the algorithm presented in this paper with another three algorithms for comparison purpose. The advantages of our algorithm are better scalability to the model, improving system performance, and low cost on maintaining system information. [ABSTRACT FROM AUTHOR]

We compared individual and joint risk-based decision making using the Balloon Analogue Risk Task, with a focus on participants' (160 Chinese men) emotional experience during decision making and their Big Five personality traits as measured by the NEO Five-Factor Inventory. We found that, compared with the individual decision-making process, making a joint decision led to reduced risk taking and increased earnings, and brought a greater sense of control, stronger feelings of achievement and happiness, and a reduced sense of regret for the participants. The Big Five personality traits of the participants were related to their risk-based decision making; participants tended to act differently according to their personality traits during individual and joint decision making. Our findings show that, compared with individual decision making, joint decision making has many advantages. [ABSTRACT FROM AUTHOR]