2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)最新文献_第2页

Modeling and Simulation of Spark Streaming 火花流的建模与仿真

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00068

Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, E. Johnsen

引用次数: 10

End-to-End Efficient Heuristic Algorithm for 5G Network Slicing 5G网络切片的端到端高效启发式算法

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00065

Amal Kammoun, N. Tabbane, G. Diaz, Abdulhalim Dandoush, N. Achir

引用次数: 21

SANGN: A New Service Oriented Architecture for Provisioning of NGN Scalable Multimedia Services 面向业务的NGN可扩展多媒体业务提供新体系结构

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00080

Juliana C. S. Andrade, R. B. C. Ribeiro, R. Villaça, M. Martinello, Celso A. S. Santos

引用次数: 1

Julunga: A New Large-Scale Distributed Read-Write File Storage System for Cloud Computing Environments Julunga:面向云计算环境的新型大规模分布式读写文件存储系统

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00138

Hrishikesh Dewan, R. Hansdah

{"title":"Julunga: A New Large-Scale Distributed Read-Write File Storage System for Cloud Computing Environments","authors":"Hrishikesh Dewan, R. Hansdah","doi":"10.1109/AINA.2018.00138","DOIUrl":"https://doi.org/10.1109/AINA.2018.00138","url":null,"abstract":"We present in this paper the design of a large distributed file storage system called Julunga for cloud computing environments. Julunga is designed for federated data center environments where multiple numbers of data centers across the globe interconnect to each other and present a coherent single system view to end-users. In Julunga, the metadata, the namespace and the data blocks of the files are completely distributed with no hard limits on the number of files that can be accommodated in a single directory. Also, there is no physical limit on the size of a file. Julunga supports file of exabytes size with ease along with the number of concurrent users updating, reading and writing to the same file or a directory. The location of the data blocks of a file is determined by using functions, thus expunging the need for file allocation tables. Many new data structures and algorithms were designed earlier where locality and preferences of users are considered to provide optimal storage locations for files and metadata. We elaborate, in this paper, the design of fundamental building blocks of the distributed storage system and compare it with the designs of the earlier file storage systems.","PeriodicalId":239730,"journal":{"name":"2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114760047","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}

引用次数: 3

Measuring Energy Consumption of a Wireless Sensor Node During Transmission: panStamp 测量无线传感器节点在传输过程中的能量消耗:panStamp

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00050

Sabrine Khriji, Rym Chéour, M. Goetz, Dhouha El Houssaini, I. Kammoun, O. Kanoun

{"title":"Measuring Energy Consumption of a Wireless Sensor Node During Transmission: panStamp","authors":"Sabrine Khriji, Rym Chéour, M. Goetz, Dhouha El Houssaini, I. Kammoun, O. Kanoun","doi":"10.1109/AINA.2018.00050","DOIUrl":"https://doi.org/10.1109/AINA.2018.00050","url":null,"abstract":"In most of the real-life application scenarios, where Wireless Sensor Networks (WSNs) are deployed, the energy is a limited and valuable resource. Many energy-based strategies were proposed in the literature to reduce the power consumption of sensor nodes and thus enhance the network lifetime. When those algorithms are developed and tested with some well-known network simulators like NS3, OPNET, the energy estimation aspect is not a key criterion, because these simulators have their own specific energy models. By implementing these algorithms in a real sensor node, the energy consumption can be measured and compared to the results provided by other previously implemented approaches. This paper proposes a method for estimating the energy consumption of a low power wireless node panStamp NRG 2.0. The proposed model calculates the consumed energy of the system, at run time for different operation cycles. Besides, since the biggest amount of energy is consumed during the communication, this paper aims to characterize the power consumption in the transmission state. A proper metric of the energy consumed per byte transmission pattern of the packets is provided. The results can be used to derive not only the energy consumption for other protocols but also the energy needed to transmit one byte as well as the payload size are given.","PeriodicalId":239730,"journal":{"name":"2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128752046","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}

引用次数: 16

Evaluation of Routing Protocols for Opportunistic Networks in Scenarios with High Degree of People Renewal 高度人员更新场景下机会网络路由协议评价

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00044

Leonardo Chancay-Garcia, Jorge Herrera-Tapia, P. Manzoni, Enrique Hernández-Orallo, C. Calafate, Juan-Carlos Cano

{"title":"Evaluation of Routing Protocols for Opportunistic Networks in Scenarios with High Degree of People Renewal","authors":"Leonardo Chancay-Garcia, Jorge Herrera-Tapia, P. Manzoni, Enrique Hernández-Orallo, C. Calafate, Juan-Carlos Cano","doi":"10.1109/AINA.2018.00044","DOIUrl":"https://doi.org/10.1109/AINA.2018.00044","url":null,"abstract":"The performance of Opportunistic Networks relies mainly on users mobility. It is in fact mobility that creates the opportunities for contacts and therefore for data forwarding. The evaluation of these networks is usually based on either synthetic mobility models or real mobility traces generally characterized by a fixed number of users. In this paper, we focus on a mostly unexplored area characterized by crowded scenarios with people renewal, i.e., with users that can either enter or leave the evaluated scenario. By using a pedestrian mobility simulator we define realistic people mobility traces that allow the evaluation of different degrees of users densities and renewal rates. Using this methodology, we studied the performance of various existing routing protocols in scenarios with high degree of people renewal and by varying the messages sizes. The experiments confirm that the renewal rate has an important impact on the performance of the protocols, which becomes particularly evident when the message size is large. Overall, we observe that controlled flooding algorithm such as Spray & Wait can obtain good packet delivery results with lower overhead than with respect to probability based protocols, avoiding also the implementation complexity of the latters.","PeriodicalId":239730,"journal":{"name":"2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129611310","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}

引用次数: 3

Mobile Privacy Protection Enhanced with Multi-access Edge Computing 多接入边缘计算增强移动隐私保护

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00109

Ping Zhang, M. Durresi, A. Durresi

引用次数: 20

Authenticated Network Coding for Software-Defined Named Data Networking 软件定义命名数据网络的认证网络编码

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00160

Ryma Boussaha, Y. Challal, A. Bouabdallah

引用次数: 2

A New Contents Centric Interest Forwarding According to User Preference on NDN NDN上基于用户偏好的以内容为中心的兴趣转发

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00043

Tetsuro Kuniyasu, Tetsuya Shigeyasu

引用次数: 1

A Statistical Framework to Forecast Duration and Volume of Internet Usage Based on Pervasive Monitoring of NetFlow Logs 基于NetFlow日志普适监测的互联网使用时长和流量预测统计框架

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2018-05-16 DOI: 10.1109/AINA.2018.00077

S. Sarmadi, Mingyang Li, S. Chellappan

{"title":"A Statistical Framework to Forecast Duration and Volume of Internet Usage Based on Pervasive Monitoring of NetFlow Logs","authors":"S. Sarmadi, Mingyang Li, S. Chellappan","doi":"10.1109/AINA.2018.00077","DOIUrl":"https://doi.org/10.1109/AINA.2018.00077","url":null,"abstract":"In this paper, we address an important and practical problem - namely to forecast the duration and volume of Internet usage of a subject based on pervasive and unobtrusive of past history. Unfortunately though, profiling users can have privacy ramifications. In this paper, we present a statistical framework to forecast duration and volume of Internet usage of subjects via processing NetFlow logs from routers. Briefly, NetFlow logs are network level information of IP packets as they traverse a router, but they do not contain the packet payload. In our experimental study, Internet traffic logs of octets and durations of 66 subjects in a college campus were collected (via privacy-preserving NetFlow records) in a pervasive and unobtrusive manner for a month. By applying times series forecasting techniques, we demonstrate that predictions on duration and volume of usage at future times can be made based on past usage, with very good precision. Furthermore, our results also show that with more historical data, prediction accuracy improves further. We believe that our problem in this paper has not been addressed in the literature. We also believe that our contributions in this paper have important consequences in enabling privacy preserving techniques to manage network resources for administrators, cyber security via behavioral based authentication, and smarter advertising.","PeriodicalId":239730,"journal":{"name":"2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129191307","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}

引用次数: 3