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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]

Purpose – As the market competition becomes increasingly intensive and the profit from traditional voice services margins gradually decline, 3G telecom operators must provide various value-added services to enhance the ARPU (average revenue per user). The purpose of this paper is to recognize the factors infecting the adoption of 3G value-added services. Design/methodology/approach – The TAM (technology acceptance model) was used as the foundation to further understand consumer's behavioral intention to use 3G value-added services. Structural equation modelling (SEM) was used to develop a conceptual model of customer adoption and nine important factors were proposed. The authors conducted a questionnaire investigation, using a large sample, in the Chinese 3G value-added service market. SPSS and AMOS were applied to analyze the survey data. Findings – The empirical findings are: security and social influence are two of the most important factors in 3G market; 3G value-added services must be perceived as enjoyment and useful; using context should be friendly and compatible; and in a whole view, the influence from gender, ease of use and need for unique to adoption intention is not significant, but to separate as two models, the difference is huge – the female group considers more about price and usefulness, while the male group thinks about enjoyment and compatibility. Practical implications – The sample of this study is limited at the range of empirical data; the development of 3G technology has not yet been perfected in China and this study fails to include all of the 3G value-added services, some of which are still in the exploratory phase of development. At the same time, the cities in this study cannot be said to represent the present stage of the whole of China. Originality/value – The paper develops a conceptual structural equation model on the area of 3G value-added services in China. The findings in the paper would help 3G providers to improve their services. [ABSTRACT FROM AUTHOR]

Abstract  Multivariate time series classification is of significance in machine learning area. In this paper, we present a novel time series classification algorithm, which adopts triangle distance function as similarity measure, extracts some meaningful patterns from original data and uses traditional machine learning algorithm to create classifier based on the extracted patterns. During the stage of pattern extraction, Gini function is used to determine the starting position in the original data and the length of each pattern. In order to improve computing efficiency, we also apply sampling method to reduce the searching space of patterns. The common datasets are used to check our algorithm and compare with the naive algorithms. Experimental results are shown to reveal that much improvement can be gained in terms of interpretability, simplicity and accuracy. [ABSTRACT FROM AUTHOR]