{"title":"An parallelized deep packet inspection design in software defined network","authors":"Yunchun Li, Rong Fu","doi":"10.1109/ICITEC.2014.7105560","DOIUrl":"https://doi.org/10.1109/ICITEC.2014.7105560","url":null,"abstract":"Deep packet inspection (DPI) is a key technology in software defined network (SDN) which can centralize network policy control and accelerate packet transmission. In this paper, we propose a new SDN architecture with DPI module. Base on the centralization idea of SDN, we deploying a parallel DPI to the control layer. We present DPI interface in the SDN controller and discuss OpenFlow protocol extension. Paralleling the DPI algorithm effectively reduces the time of detecting packets and sending flow tables. We also describe an Adaptive Highest Random Weight with an additional feedback corresponding to queue length and string length matching at each processor. The original Highest Random Weight (HRW) hash ensures the connection locality. Treating all tasks as the same weight just balances the workload over the number of different task. By adding the adjustment multiplier and combined with the characteristics of the fixed hash function, the system can allocate resource dynamically and achieve connection-level parallelism in consideration of the processing time for per packet.","PeriodicalId":293382,"journal":{"name":"Proceedings of 2nd International Conference on Information Technology and Electronic Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124813995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of H∞ filtering algorithm in SINS/GPS integrated navigation system","authors":"S. Wan-xin","doi":"10.1109/ICITEC.2014.7105575","DOIUrl":"https://doi.org/10.1109/ICITEC.2014.7105575","url":null,"abstract":"H∞ filtering is a representative method of robust control. In the SINS/GPS integrated navigation system, to solve the limitation of Kalman in the system model and noise, this paper puts forward an application of H∞ filtering algorithm, which has strong robust performance in integrated navigation system. The filter equation of H∞ and Kalman algorithm is given. The integrated navigation (SINS/GPS) uses the output difference between SINS and GPS as input value of the filter, and then the error of integrated navigation system is estimated and corrected by one filtering method in real time. The accuracy and robustness are analyzed and compared between the two kinds of filtering algorithm. The simulation result shows that the H∞ filtering has better stability and robustness in colored noise. Through this research, H∞ filtering algorithm can well solve the uncertainty of the noise model and statistical characteristics. H∞ filtering algorithm is more suitable for the application of SINS/GPS to integrated navigation system.","PeriodicalId":293382,"journal":{"name":"Proceedings of 2nd International Conference on Information Technology and Electronic Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129157164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sentiment analysis method based on the focus sentence and context for Chinese comment text","authors":"Rui Liu, Ling Jin","doi":"10.1109/ICITEC.2014.7105616","DOIUrl":"https://doi.org/10.1109/ICITEC.2014.7105616","url":null,"abstract":"With the increasing popularization and extensive application of Internet, more and more netizens begin to post their views, opinions and comments on the Internet. The sentiment analysis on these comment texts will become a focus for future research. According to the characteristics of Chinese comment text, a method based on the text sentiment analysis of the focus sentence and context is put forward in this paper, and it proves a certain validity by experiments.","PeriodicalId":293382,"journal":{"name":"Proceedings of 2nd International Conference on Information Technology and Electronic Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130411660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The design and implementation of approving system on private IaaS cloud platform","authors":"Y. Tang, Jun Zheng","doi":"10.1109/ICITEC.2014.7105618","DOIUrl":"https://doi.org/10.1109/ICITEC.2014.7105618","url":null,"abstract":"To make the allocation of hardware resources more reasonable and flexible on private infrastructure as a service cloud platform in enterprises, approving system described in this paper provides an efficient solution. Each user has a basic quota. If users need to get more resources, the reason must be given to apply. According to the performance of the eventually practice on OpenStack, this system can prevent users from allocating more hardware resources than they need, and save the hardware resources. We implemented the approving system on OpenStack, and the resource of server was saved.","PeriodicalId":293382,"journal":{"name":"Proceedings of 2nd International Conference on Information Technology and Electronic Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128589660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"What special about Top-N recommendation for mobile app stores","authors":"T. Zhu, Jiabao Yan, Ying Zhao","doi":"10.1109/ICITEC.2014.7105624","DOIUrl":"https://doi.org/10.1109/ICITEC.2014.7105624","url":null,"abstract":"As the number of mobile applications grows rapidly, personalized recommendation for mobile apps becomes more and more important to mobile App stores. While most of the current works focused on proposing novel recommendation models for mobile apps, the lack of understanding of user download behaviors still remains a problem. Towards this end, we conducted a user behavior study on a large scale real world dataset, focusing on three kinds of biases to user download behaviors, namely, browsing history, app update history, and app categories. The dataset we used in this paper was constructed from Mobile Market (MM), an online mobile app store released by China Mobile, server logs from April 16, 2013 to June 13, 2013, containing 12,125,702 users and 67,577 apps.","PeriodicalId":293382,"journal":{"name":"Proceedings of 2nd International Conference on Information Technology and Electronic Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129698210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on reactive power compensation for distribution network based on biogeography-based optimization algorithm","authors":"Yin Li-min, Du Shu","doi":"10.1109/ICITEC.2014.7105569","DOIUrl":"https://doi.org/10.1109/ICITEC.2014.7105569","url":null,"abstract":"Distribution network reactive power optimization, which can effectively reduce distribution network wastage, can not only improve voltage distribution network quality, but also realize the distribution network security control. Stable operation provides solid foundation for the electric power enterprise economy. Unlike genetic algorithm that shares the feature information between the chromosomes, the unique migration pattern of BBO algorithm makes the good feature in the habitats broadcast widely among habitats, thus, the optimization process would be accelerated and the reactive power compensation location could be confirmed quickly. And by using BBO algorithm in the example analysis and conducting simulation through PSASP, it proves that biogeography optimization algorithm is quite effective when applied in distribution network reactive power optimization.","PeriodicalId":293382,"journal":{"name":"Proceedings of 2nd International Conference on Information Technology and Electronic Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115071829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on pricing model of online music product based on particle swarm and Stackelberg model","authors":"Fan Yunhui, Guo Shuhang, Hang MingJia","doi":"10.1109/ICITEC.2014.7105622","DOIUrl":"https://doi.org/10.1109/ICITEC.2014.7105622","url":null,"abstract":"The past decades have witnessed a boom in online music industry as a result of rapid development of information technology. This emerging field, however, lacks appropriate pricing methods. In order to coordinate with the marketing strategies of online music and guarantee satisfactory returns for both sellers and buyers of online music, a pricing model based on Stackelberg Model and Particle Swarm Model is proposed. This paper starts with an introduction of several traditional methods for pricing online products. Then it demonstrates Hypothesis and relevant variables in the new model, categorizes online musical products into different groups according to their qualities and uses PSO algorithm to acquire price and quantity trends of online music, which contribute to solving the optimal price at given time. Finally, the paper compares the model with traditional pricing models to test the validity of online music pricing.","PeriodicalId":293382,"journal":{"name":"Proceedings of 2nd International Conference on Information Technology and Electronic Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116830180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of the influence to productivity of software corrective maintenance using an economic model","authors":"Kai Huang, Xiaoying Kong, K. Sandrasegaran","doi":"10.1109/ICITEC.2014.7105584","DOIUrl":"https://doi.org/10.1109/ICITEC.2014.7105584","url":null,"abstract":"This paper presents an economic model for productivity of software corrective maintenance. The productivity is modeled using economic value of the maintenance process as the output, and the pre-committed fixed cost and variable cost as input. The relationship of the economic value and these cost components are modeled using analytical theory of investment. The values of corrective maintenance process are analyzed. A simulation approach is demonstrated to analyze the influences to the productivity in corrective maintenance. This approach provides a tool to identify and analyze the optimal parameters in productivity using the economic model and simulation.","PeriodicalId":293382,"journal":{"name":"Proceedings of 2nd International Conference on Information Technology and Electronic Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130143340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}