{"title":"A classification-based elephant flow detection method using application round on SDN environments","authors":"Yuan-Hao Huang, Wen-Yueh Shih, Jiun-Long Huang","doi":"10.1109/APNOMS.2017.8094140","DOIUrl":"https://doi.org/10.1109/APNOMS.2017.8094140","url":null,"abstract":"We propose in this paper a classification-based elephant flow detection method for SDN environments. The proposed elephant flow detection method consists of two classifiers running on the switch and the controller, respectively. For better performance, the concept of application round is used to build the classifier running on the controller. Experimental results show that our elephant flow detection method is able to obtain high recall and F-measure.","PeriodicalId":188636,"journal":{"name":"2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"21 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114017385","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}
Chih-Chieh Chen, Yi-Ren Chen, Shi-Chun Tsai, Mingchuan Yang
{"title":"Forwarding path discovery with software defined networking","authors":"Chih-Chieh Chen, Yi-Ren Chen, Shi-Chun Tsai, Mingchuan Yang","doi":"10.1109/APNOMS.2017.8094133","DOIUrl":"https://doi.org/10.1109/APNOMS.2017.8094133","url":null,"abstract":"Without STP and LLDP, we propose a new approach to find faster paths between the source and the destination and fully utilize the links between switches under the Software Defined Network paradigm. To find round-trip path with lighter load, we design a mechanism to compose special ARP packets for exploring the routing path and avoid broadcast storm by dropping late or duplicate packets. Meanwhile, the controller can carefully regulate other packets without affecting the behavior of the special packets. The evaluation results with the Clos-like network topology show that our approach can be used to improve the performance of transmission throughput. We believe our method is very suitable, especially, for a dynamic network environment, where links are up and down frequently. Our implementation can be seen as an instance showing the flexibility of SDN.","PeriodicalId":188636,"journal":{"name":"2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125276271","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":"A framework for discovering maritime traffic conflict from AIS network","authors":"Po-Ruey Lei, Tzu-Hao Tsai, Y. Wen, Wen-Chih Peng","doi":"10.1109/APNOMS.2017.8094169","DOIUrl":"https://doi.org/10.1109/APNOMS.2017.8094169","url":null,"abstract":"Thanks for the common use of Automatic Identification System (AIS) network has made a large number of the maritime traffic data to be available. Ships equipped with AIS automatically exchange navigational information with nearby ships and terrestrial AIS receivers to facilitate the tracking and monitoring of ships' location and movement for collision avoidance and control. Obviously, with increasing amount of maritime shipping traffic, the navigational collisions are one of the growing safety concerns in maritime traffic situation awareness. To understand the collision situations can help the maritime traffic managers to improve the safety control of maritime traffic. However, it is difficult to statistically analyze such collision due to the number of collected real cases of collisions are relatively low within a short period of time. To overcome the problem of low sample size, we discover traffic conflict from data collected by AIS network to substitute the real collision. Given a set of maritime traffic data collected from AIS network, we try to discover ships' movements that have conflict behaviors and these behaviors may bring a possible collision if they do not take any evasive action. We propose a framework of Clustering-and-Detection to automatically discover the clusters of conflict trajectory from AIS trajectory data in an unsupervised way. Based on real AIS data, the experimental results show that the proposed framework is able to effectively discover sets of trajectory with conflict situation from maritime AIS traffic data. The statistical analysis on the discovered sets of conflict trajectory is able to provide useful knowledge for maritime traffic monitoring.","PeriodicalId":188636,"journal":{"name":"2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"1175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124927905","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}
Yi Ren, Muhammad Alfiansyah, N. Wibowo, Cheng-Wei Wu, JieFu Geng, Y. Tseng
{"title":"iToy: A LEGO-like solution for small scale IoT applications","authors":"Yi Ren, Muhammad Alfiansyah, N. Wibowo, Cheng-Wei Wu, JieFu Geng, Y. Tseng","doi":"10.1109/APNOMS.2017.8094135","DOIUrl":"https://doi.org/10.1109/APNOMS.2017.8094135","url":null,"abstract":"We can find various Internet of Things (IoT) products available in the market to accommodate users needs. Current IoT applications, however, built delicately for their usage with their own sensor devices and Apps. This limitation thus prevents users from handling flexible situations. In this paper, we propose iToy, an LEGO-like solution to integrate various off-the-shelf sensors for different IoT applications. In iToy, the off-the-shelf sensors are like LEGO plastic bricks, which can be assembled and connected to construct IoT applications. Any sensors constructed in an IoT application can be taken apart again and then used to make other IoT applications. We demonstrate through proof-of-concept prototype that iToy is user-friendly and suitable for forming different small scale IoT applications.","PeriodicalId":188636,"journal":{"name":"2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115805115","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}
Lida. Wang, Xiaofei Zhang, Y. Tseng, Cheng-Kuan Lin
{"title":"Parallel and local diagnostic algorithm for wireless sensor networks","authors":"Lida. Wang, Xiaofei Zhang, Y. Tseng, Cheng-Kuan Lin","doi":"10.1109/APNOMS.2017.8094165","DOIUrl":"https://doi.org/10.1109/APNOMS.2017.8094165","url":null,"abstract":"In wireless sensor networks (WSNs), the sensing data of nodes have spatial similarity, so the network fault diagnosis can be done by comparing the data of neighbor nodes. When sending data, the node may send erroneous data because of the interference of the signal, thereby affecting the diagnostic accuracy of the network. This paper presents a parallel and local diagnostic algorithm (PLD) for WSN. In order to avoid the problem of signal collision, this paper constructs a special diagnosis structure, which effectively avoids the influence of signal collision on node diagnosis. The algorithm can be divided into three parts: generate the candidate sub-node set, establish the fault diagnosis structure and the diagnostic test. Diagnostic test contains four rounds. The first three rounds quickly compare perceived data of adjacent nodes in parallel, greatly reduces the time of diagnosis. In the fourth round, the most reliable node is tested with the first three rounds. Simulation results show that the proposed algorithm can guarantee higher diagnostic accuracy.","PeriodicalId":188636,"journal":{"name":"2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"23 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133994877","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}
Ju-Yi Lin, Chia-Wei Chang, Chih-Hao Wang, Hong-Chuan Chi, Chih-Wei Yi, Y. Tseng, Chih-Chuan Wang
{"title":"Design and implement a mobile badminton stroke classification system","authors":"Ju-Yi Lin, Chia-Wei Chang, Chih-Hao Wang, Hong-Chuan Chi, Chih-Wei Yi, Y. Tseng, Chih-Chuan Wang","doi":"10.1109/APNOMS.2017.8094141","DOIUrl":"https://doi.org/10.1109/APNOMS.2017.8094141","url":null,"abstract":"The use of the badminton stroke strategy in the evenly matched game is often the key to victory. In this work, a smart racket based on wearable sensors is proposed to collect the data of swing of badminton. A cell phone APP with machine learning techniques is implemented to record stroke types automatically. In each stroke hit event, this prototype system uses Bluetooth earphone to collect the sound for detecting the accuracy time. It uses the data of IMU in each stroke for determining stroke type. Compared to EMU only solution, the system will reduce the false count of stroke hit. Using cloud techniques could record the training and game record in a long period. Overall the accuracy of stroke hit event is almost 100% by using voice print. The data of EMU is classified by Random Forest or SMO. The accuracy for personal model is 95.91%, and it is 7932% for general model. We develop a stroke record system which is combined with Wearable sensor, Mobile platform and Cloud service.","PeriodicalId":188636,"journal":{"name":"2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123893004","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}