Facebook penetration rate in Taiwan is the highest in the world, until July 2015 in Taiwan, the number of daily users reached 13 million for approximately 23 million population. Location-based Facebook check-in service is a hot topic, numerous Facebook users go to their interested numerous checkin-in places and check in there. Taiwan beef noodle is considered a national dish. 2011 Taipei International Beef Festival has been Taiwan beef noodle translated as New Row Mian. The naming imitates Japanese Sushi or Korean Kimchi that translated from the local language literal translation, highlighting the unique culture. Through the culture in the human activities, it will also produce the relevant Facebook check-in places and check-in behaviors. In this study, we propose a method to collect the big data of Facebook check-in places, find out the places related to “New Row Mian” and position for these places.
{"title":"A data mining method for Facebook social network: Take “New Row Mian (Beef Noodle)” in Taiwan for example","authors":"Jong-Shin Chen, Chi-Yueh Hsu, Cheng-Ying Yang, Ching-Chuan Wei, Han Guo Ciang","doi":"10.1109/ICAWST.2017.8256438","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256438","url":null,"abstract":"Facebook penetration rate in Taiwan is the highest in the world, until July 2015 in Taiwan, the number of daily users reached 13 million for approximately 23 million population. Location-based Facebook check-in service is a hot topic, numerous Facebook users go to their interested numerous checkin-in places and check in there. Taiwan beef noodle is considered a national dish. 2011 Taipei International Beef Festival has been Taiwan beef noodle translated as New Row Mian. The naming imitates Japanese Sushi or Korean Kimchi that translated from the local language literal translation, highlighting the unique culture. Through the culture in the human activities, it will also produce the relevant Facebook check-in places and check-in behaviors. In this study, we propose a method to collect the big data of Facebook check-in places, find out the places related to “New Row Mian” and position for these places.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123890463","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}
Pub Date : 2017-11-01DOI: 10.1109/ICAWST.2017.8256494
Bin Gu, Long Chen, Yufeng Ke, Shuang Liu, Jiabei Tang, Zhongpeng Wang, Yijie Zhou, Haiqing Yu, Dong Ming
As one of the most practical EEG-based paradigms, motor imagery brain computer interface(MI-BCI) is not only used to control external devices, but also to help patients with hemiparesis to reconstruct impaired motor function. However, due to event-related (de)synchronization(ERD/ERS) during motor imagery are not stable enough, the performance of classification of MI-BCI is relatively poor. It has become a focus of study that how to achieve the feature enhancement of motor imagery. Since motor imagery is a cognitive processing that engages parts of the motor resources, we try to improve suppression and enhancement of amplitude (ERD/ERS) in a novel way by changing cognitive state. In this study, we designed a cognitive parallel n-back task with varying memory load to carry out with motor imagery task synchronously. The result of 13 subjects who volunteered in this experiment was shown that increased memory load could activate much stronger power decrease of ERD pattern at alpha rhythms in both sides of sensorimotor cortex, especially in contralateral area. Furthermore, we calculated the accuracy of classification between motor imaginary and motor idle status in different conditions by two classifiers, respectively. Through the paired t-test, we obtained that the accuracy of high memory load condition was significantly higher than the low load condition(SVM: (76.3±13.3)% and (83.4±10.5)%, p<0.01; LDA: (78.0±13.5)% and (84.6±12.4)%, p<0.05). A conclusion can be drawn that memory load have a positive impact on ERD pattern, even it is not caused by motor imagery itself. Besides, it may imply a new approach to modulate brain oscillations related to motor imagery by changing cognitive state.
{"title":"The effects of cognitive parallel task with varying memory load on motor imagery BCI","authors":"Bin Gu, Long Chen, Yufeng Ke, Shuang Liu, Jiabei Tang, Zhongpeng Wang, Yijie Zhou, Haiqing Yu, Dong Ming","doi":"10.1109/ICAWST.2017.8256494","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256494","url":null,"abstract":"As one of the most practical EEG-based paradigms, motor imagery brain computer interface(MI-BCI) is not only used to control external devices, but also to help patients with hemiparesis to reconstruct impaired motor function. However, due to event-related (de)synchronization(ERD/ERS) during motor imagery are not stable enough, the performance of classification of MI-BCI is relatively poor. It has become a focus of study that how to achieve the feature enhancement of motor imagery. Since motor imagery is a cognitive processing that engages parts of the motor resources, we try to improve suppression and enhancement of amplitude (ERD/ERS) in a novel way by changing cognitive state. In this study, we designed a cognitive parallel n-back task with varying memory load to carry out with motor imagery task synchronously. The result of 13 subjects who volunteered in this experiment was shown that increased memory load could activate much stronger power decrease of ERD pattern at alpha rhythms in both sides of sensorimotor cortex, especially in contralateral area. Furthermore, we calculated the accuracy of classification between motor imaginary and motor idle status in different conditions by two classifiers, respectively. Through the paired t-test, we obtained that the accuracy of high memory load condition was significantly higher than the low load condition(SVM: (76.3±13.3)% and (83.4±10.5)%, p<0.01; LDA: (78.0±13.5)% and (84.6±12.4)%, p<0.05). A conclusion can be drawn that memory load have a positive impact on ERD pattern, even it is not caused by motor imagery itself. Besides, it may imply a new approach to modulate brain oscillations related to motor imagery by changing cognitive state.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133770024","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}
Pub Date : 2017-11-01DOI: 10.1109/ICAWST.2017.8256490
Ren Chen, Gui-Sen Li, Bin Dai, Shun-Zhi Zhu
Applying Application-Level Multicast technology (ALM) to Distributed Interactive Applications (DIAs) becomes more and more popular. Especially for DIAs embedded priority. The PST algorithm was designed for these DIAs based on distance. However, the PST lacks efficient priority selection and filtering mechanism resulted in system unstable and inextensible. In this paper, we first propose PQPST algorithm which can predict every efficient priority and quantize the predicted efficient priorities into different groups for constructing the multicast trees. Second, we propose Priority Discrepancy Heuristic Mechanism (PDHM), which sets different thresholds of priority discrepancy within the priority discrepancy interval to control the distribution tree construction, and it can efficiently decrease the repeated distribution tree construction. According to the simulation results, the PQPST and PDHM can efficiently improve the performance of the PST algorithm.
{"title":"Priority-based application level multicast for distributed interactive applications based on distance","authors":"Ren Chen, Gui-Sen Li, Bin Dai, Shun-Zhi Zhu","doi":"10.1109/ICAWST.2017.8256490","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256490","url":null,"abstract":"Applying Application-Level Multicast technology (ALM) to Distributed Interactive Applications (DIAs) becomes more and more popular. Especially for DIAs embedded priority. The PST algorithm was designed for these DIAs based on distance. However, the PST lacks efficient priority selection and filtering mechanism resulted in system unstable and inextensible. In this paper, we first propose PQPST algorithm which can predict every efficient priority and quantize the predicted efficient priorities into different groups for constructing the multicast trees. Second, we propose Priority Discrepancy Heuristic Mechanism (PDHM), which sets different thresholds of priority discrepancy within the priority discrepancy interval to control the distribution tree construction, and it can efficiently decrease the repeated distribution tree construction. According to the simulation results, the PQPST and PDHM can efficiently improve the performance of the PST algorithm.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131772205","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}
Pub Date : 2017-11-01DOI: 10.1109/ICAWST.2017.8256522
Wen-Feng Shih, K. Naruse, Shih-Hung Wu
Nowadays, many robots are in service for the people, such as pepper, Paro, HSR and so on. The robots are not only as partners but also provide services to daily life. To be a good partner, a robot needs to have a better model of feedback, such that it can interact more naturally. Moreover, in order to design a robot that can interact just like human, we need to design the emotion model for the robot. In our research, first our system extracts face and computes the feature from the facial image. Then our system uses SVM to classify the facial expression into different emotion states. At the same time, the robot also updates its own emotion states. Then the robot's emotion will change to interact with human according to the facial expression recognized. Therefore, the robot can show different feedback actions that expressing the emotion of robot with some funny postures.
{"title":"Implement human-robot interaction via robot's emotion model","authors":"Wen-Feng Shih, K. Naruse, Shih-Hung Wu","doi":"10.1109/ICAWST.2017.8256522","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256522","url":null,"abstract":"Nowadays, many robots are in service for the people, such as pepper, Paro, HSR and so on. The robots are not only as partners but also provide services to daily life. To be a good partner, a robot needs to have a better model of feedback, such that it can interact more naturally. Moreover, in order to design a robot that can interact just like human, we need to design the emotion model for the robot. In our research, first our system extracts face and computes the feature from the facial image. Then our system uses SVM to classify the facial expression into different emotion states. At the same time, the robot also updates its own emotion states. Then the robot's emotion will change to interact with human according to the facial expression recognized. Therefore, the robot can show different feedback actions that expressing the emotion of robot with some funny postures.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133871285","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}
Volunteer service exercisers or teams currently use the Volunteer Service Integrated Information System (VSIIS) developed by the Ministry of Health and Welfare (MOHW) to support their businesses. This study proposes the Volunteer Management System for the Taichung Volunteer Service Promotion Center, which is a volunteer service exerciser, with better user interface designs and browser compatibility, when compared to the VSIIS. The proposed system works independently and can export data to the VSIIS for reporting to the MOHW. The system is built with the Java EE and other open technologies, and its source codes are open to the public. Other volunteers can join the development by helping to continuously improve the proposed Volunteer Management System.
{"title":"Developing volunteer management system with Java EE Technology: The case of Taichung volunteer service promotion center","authors":"Hung-Yi Chen, Yueh-Chin Chen, Huei-Ling Li, Hsiao-Chun Wu","doi":"10.1109/ICAWST.2017.8256433","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256433","url":null,"abstract":"Volunteer service exercisers or teams currently use the Volunteer Service Integrated Information System (VSIIS) developed by the Ministry of Health and Welfare (MOHW) to support their businesses. This study proposes the Volunteer Management System for the Taichung Volunteer Service Promotion Center, which is a volunteer service exerciser, with better user interface designs and browser compatibility, when compared to the VSIIS. The proposed system works independently and can export data to the VSIIS for reporting to the MOHW. The system is built with the Java EE and other open technologies, and its source codes are open to the public. Other volunteers can join the development by helping to continuously improve the proposed Volunteer Management System.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115072799","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}
Pub Date : 2017-11-01DOI: 10.1109/ICAWST.2017.8256499
Bin Dai, Ren Chen, R. Chen
Temperature control is a very common scene in industrial control. Combined with our previous research, the temperature control of drinking water is an important aspect of improving human health. Traditional temperature control methods include PID control, or considering multiple input factors, fuzzy control is used to adjust and control temperature. However, the deficiency is that the control accuracy is not ideal, and the feedback control is relative slow. It is a good idea and solution to optimize the condition of judging rules in temperature control by using the method of combining neural network and fuzzy control, and combining the optimization of algorithm to improve the precision and speed of temperature regulation. In this paper, the architecture of fuzzy neural network for drinking water temperature control and the algorithm design method are proposed, and the precision of temperature control and the improvement of regulation speed are provided.
{"title":"Temperature control with fuzzy neural network","authors":"Bin Dai, Ren Chen, R. Chen","doi":"10.1109/ICAWST.2017.8256499","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256499","url":null,"abstract":"Temperature control is a very common scene in industrial control. Combined with our previous research, the temperature control of drinking water is an important aspect of improving human health. Traditional temperature control methods include PID control, or considering multiple input factors, fuzzy control is used to adjust and control temperature. However, the deficiency is that the control accuracy is not ideal, and the feedback control is relative slow. It is a good idea and solution to optimize the condition of judging rules in temperature control by using the method of combining neural network and fuzzy control, and combining the optimization of algorithm to improve the precision and speed of temperature regulation. In this paper, the architecture of fuzzy neural network for drinking water temperature control and the algorithm design method are proposed, and the precision of temperature control and the improvement of regulation speed are provided.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117151495","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}
Pub Date : 2017-11-01DOI: 10.1109/ICAWST.2017.8256454
Shyi-Ching Liang, Yu-Chien Chen, Tzu-Chuen Lu
This study aimed to explore whether or not the “Pictorial Story Based English” applied in remedial English teaching improve the learning effectiveness of underachievers' word learning and explore the attitude of remedial teaching students towards English teaching. The research participants include underachievers of fifth grade English classes in four elementary schools in Changhua County, a total of 39 students. During the 14-week remedial teaching period, the students attended the word teaching class through the “Pictorial Story Based English” once a week, a total of 10 sessions, and five English words were given each time, a total of 50 words. The students that participated in the remedial teaching answered five “fill in the blanks” questions in the pre-test and took the post-test after the teaching. After the first teaching, a retention test was conducted before the teaching. On the fourteenth week, the general test for English word learning effectiveness consisting of 50 questions and the questionnaire survey for learning attitude were conducted. The results show that: (1) The students showed improvement in the number of correct answers in the pre-test and post-test of English words; (2) At the end of the remedial teaching, the students showed improvement in the general test for English word recognition; (3) The students showed improvement in attitude performance, specifically in “active learning,” “attention” “interests” and “self-confidence.” The above results indicate that the “Pictorial Story Based English” applied in the remedial teaching of English words indeed improve the fifth grade underachievers' word recognition and spelling proficiency, which in turn had a positive impact on their learning method and learning attitude. Hence, the results in this study shall serve as a reference for English remedial teaching applied in English word teaching.
{"title":"Using pictorial story based english to improve English words underachievers learning in remedial teaching","authors":"Shyi-Ching Liang, Yu-Chien Chen, Tzu-Chuen Lu","doi":"10.1109/ICAWST.2017.8256454","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256454","url":null,"abstract":"This study aimed to explore whether or not the “Pictorial Story Based English” applied in remedial English teaching improve the learning effectiveness of underachievers' word learning and explore the attitude of remedial teaching students towards English teaching. The research participants include underachievers of fifth grade English classes in four elementary schools in Changhua County, a total of 39 students. During the 14-week remedial teaching period, the students attended the word teaching class through the “Pictorial Story Based English” once a week, a total of 10 sessions, and five English words were given each time, a total of 50 words. The students that participated in the remedial teaching answered five “fill in the blanks” questions in the pre-test and took the post-test after the teaching. After the first teaching, a retention test was conducted before the teaching. On the fourteenth week, the general test for English word learning effectiveness consisting of 50 questions and the questionnaire survey for learning attitude were conducted. The results show that: (1) The students showed improvement in the number of correct answers in the pre-test and post-test of English words; (2) At the end of the remedial teaching, the students showed improvement in the general test for English word recognition; (3) The students showed improvement in attitude performance, specifically in “active learning,” “attention” “interests” and “self-confidence.” The above results indicate that the “Pictorial Story Based English” applied in the remedial teaching of English words indeed improve the fifth grade underachievers' word recognition and spelling proficiency, which in turn had a positive impact on their learning method and learning attitude. Hence, the results in this study shall serve as a reference for English remedial teaching applied in English word teaching.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124767322","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}
Pub Date : 2017-11-01DOI: 10.1109/ICAWST.2017.8256497
Y. Shiao, Lijuan Liu, Qiangfu Zhao, R. Chen
Nowadays more and more people in the big city rely on public transportations while they go to work or school. MRT (Mass Rapid Transit) is one of the most modern transportations in Taipei. It is a great traffic tool to relieve the pressure of rush hours. According to the statistics, each day there will be over one million of passengers taking the MRT in Taipei. In this paper, we will be predicting MRT passenger flow with random forest, by using different factors collected from the Taipei Main station as input for training. The result shows that some of the influenced factors are important to affect the prediction of the passenger flow.
{"title":"Predicting passenger flow using different influence factors for Taipei MRT system","authors":"Y. Shiao, Lijuan Liu, Qiangfu Zhao, R. Chen","doi":"10.1109/ICAWST.2017.8256497","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256497","url":null,"abstract":"Nowadays more and more people in the big city rely on public transportations while they go to work or school. MRT (Mass Rapid Transit) is one of the most modern transportations in Taipei. It is a great traffic tool to relieve the pressure of rush hours. According to the statistics, each day there will be over one million of passengers taking the MRT in Taipei. In this paper, we will be predicting MRT passenger flow with random forest, by using different factors collected from the Taipei Main station as input for training. The result shows that some of the influenced factors are important to affect the prediction of the passenger flow.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121797688","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}
Taiwan's most exotic and traditional drink, tea, not only is popular with Taiwanese people, but also foreign markets are crazy about. Varieties and different species of tea gives birth to different flavor, and it develops different business model in Taiwan — teahouse, tea restaurant, bubble tea and other handmade drink shop. The distribution of tea in Taiwan concentrated more in Taipei, Taichung, Kaohsiung, and Tainan. Surprisingly, distribution in Nantou is ranked fourth, but the density is less than four cities. Through the big data analysis of well-known Facebook community network, different view is provided and results enable to explore the different direction, and guide us to find the key factors.
{"title":"A survey of the distribution of tea in Taiwan by the well-known social network","authors":"Chi-Yueh Hsu, Jong-Shin Chen, Kuan-Chuan Tao, Bo-Jun He, Han Guo Ciang","doi":"10.1109/ICAWST.2017.8256440","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256440","url":null,"abstract":"Taiwan's most exotic and traditional drink, tea, not only is popular with Taiwanese people, but also foreign markets are crazy about. Varieties and different species of tea gives birth to different flavor, and it develops different business model in Taiwan — teahouse, tea restaurant, bubble tea and other handmade drink shop. The distribution of tea in Taiwan concentrated more in Taipei, Taichung, Kaohsiung, and Tainan. Surprisingly, distribution in Nantou is ranked fourth, but the density is less than four cities. Through the big data analysis of well-known Facebook community network, different view is provided and results enable to explore the different direction, and guide us to find the key factors.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127954396","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}
Pub Date : 2017-11-01DOI: 10.1109/ICAWST.2017.8256451
Rong-Chung Chen, Wei-Xiu Hong
Users can effectively achieve the purpose of sharing hardware and software resources through the cloud computing. However, when the network load is too heavy or the network bandwidth is insufficient, the cloud computing often occupies a lot of network bandwidth. The operation delay makes the transmission performance decline rapidly. Therefore, the theme of this study focuses on the effective use of network resources to enhance the efficiency of the cloud computing environment. This study proposes a self-adjustment scheduler (SAS) that regulates the operation of the switch by detecting the traffic during the packet transmission. SAS is included by two mechanisms, the flow assignment (FA) and the flow weighted round robin (FWRR). With FA, when the delivering node is congested, the path table is quickly modified so that the next packet can be selected for alternate paths. Through this method, the path can be changed dynamically to deal with packet congestion. FWRR, taking into account the priority of data and the problem of preventing starvation, allows the bandwidth configuration to be dynamically adjusted to achieve fairness. Also, an experimental simulation established by using EstiNet network simulator to verify the SAS mechanism.
{"title":"Improve the problem of insufficient bandwidth and path congestion in the cloud computing environment by using self-adjustment scheduler","authors":"Rong-Chung Chen, Wei-Xiu Hong","doi":"10.1109/ICAWST.2017.8256451","DOIUrl":"https://doi.org/10.1109/ICAWST.2017.8256451","url":null,"abstract":"Users can effectively achieve the purpose of sharing hardware and software resources through the cloud computing. However, when the network load is too heavy or the network bandwidth is insufficient, the cloud computing often occupies a lot of network bandwidth. The operation delay makes the transmission performance decline rapidly. Therefore, the theme of this study focuses on the effective use of network resources to enhance the efficiency of the cloud computing environment. This study proposes a self-adjustment scheduler (SAS) that regulates the operation of the switch by detecting the traffic during the packet transmission. SAS is included by two mechanisms, the flow assignment (FA) and the flow weighted round robin (FWRR). With FA, when the delivering node is congested, the path table is quickly modified so that the next packet can be selected for alternate paths. Through this method, the path can be changed dynamically to deal with packet congestion. FWRR, taking into account the priority of data and the problem of preventing starvation, allows the bandwidth configuration to be dynamically adjusted to achieve fairness. Also, an experimental simulation established by using EstiNet network simulator to verify the SAS mechanism.","PeriodicalId":378618,"journal":{"name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127640125","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}
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