会议信息

TMA 2024: Network Traffic Measurement and Analysis Conference

请登录查看会议网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
注册 登录
嵌入截止倒计时徽章
TMA
用 API 获取这条数据
搜索与榜单列表完全无需凭证；本页的完整详情需要一把免费 API 密钥。详见开发者接入页。
截稿日期:
2024-03-01
通知日期:
2024-04-19
会议日期:
2024-05-21
会议地点:
Dresden, Germany
浏览: 22818   关注: 5   参加: 0

会伴指数 (CP-I)

55.7 / 100
全站第 810 名 / 共 5,687 个会议 · 前 15%

电气与电子工程 第 23 / 510

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%)
72
会议传承 (20%)
65
社区关注 (10%)
26
资料公开度 (15%)
55

用到的输入: 录用率：35%（有记录的 5 届的均值） · 有据可查的届次：10 · 在会伴关注它的研究者：5 人 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 65% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-30

征稿

TMA 2024 (Network Traffic Measurement and Analysis Conference) is an academic conference held in Dresden, Germany on 2024-05-21. The paper submission deadline is 2024-03-01. Acceptance notifications are sent on 2024-04-19.

The Network Traffic Measurement and Analysis Conference (TMA) aims to be a highly selective venue for presenting both mature and early-stage research – as well as controversial work – on all aspects of measurement and analysis of network traffic. TMA conference has a strong tradition of open and lively interaction among scientists and engineers in academia and industry, and serves as a premier forum to exchange ideas, and present advances over the state-of-the-art in measurements of Internet traffic on all layers, as well as in measurement and analysis techniques. TMA 2024 invites submissions presenting concepts, experiences, and of course results in collection, processing, analysis and visualization of network traffic data to enable traffic classification, anomaly detection, performance enhancement, monitoring, management, security, privacy or other uses of network data. The focus is on improving network measurements across the entire network stack up to application layers, with an emphasis on diverse areas of network communication such as data centers, satellite networks, mobile networks, IoT devices as well as devices connected to multiple networks. To further encourage the results’ faithfulness and avoid publication bias, the conference will particularly encourage negative results revealed by novel measurement methods or vantage points. All regular papers are hence encouraged to discuss the limitations of the presented approaches and also mention which experiments did not work. Additionally, TMA will also be open to accepting papers that exclusively deal with negative results, especially when new measurement methods or perspectives offer insight into the limitations and challenges of network measurement in practice. Negative results will be evaluated based on their impact (e.g. revealed in realistic production networks) as well as the novelty of the vantage points (e.g. scarce data source) or measurement techniques that revealed them. Topics of interest include, but are not limited to: Measurements of network performance and network topology Measurements of the deployment, performance, and security of Internet infrastructure including the use of the Internet Naming system Measurements of energy consumption of Internet infrastructure and data centers Measurement of the deployment and use of protocols (e.g. TCP, MPTCP, IPv6, HTTP/2, QUIC) Identification and classification of traffic, including encrypted and proprietary protocols Techniques for privacy preservation and anonymization of traffic measurements Traffic analysis for anomaly/vulnerability/attack detection, including measuring the economic/financial impact of cyber attacks Measurement and analysis of deployed techniques for censorship Application-layer measurements, including web services, social networks and identity management systems Measurements of quality of service and quality of experience for audio/video streaming, video conferencing, virtual/augmented reality and gaming Use of artificial intelligence and machine learning in network measurement and analysis Visualization of measurement data including novel representations based on learning methods Measurements of data centers or cloud-based systems, Software-Defined Networks (SDN) and Virtual Network Functions (VNF)s Measurements of mobile and wireless traffic including devices with multiple network paths Measurements of satellite communication systems and impacts on performance Measurements of IoT devices, their traffic patterns as well as the use of protocols, and in home networks Measurements on testbeds, experimental networks, or prototype networks Platforms for measurement, troubleshooting, and management of operational networks Simulation and modeling for network measurements, analysis, and visualization Current and emerging regulatory frameworks for measurement, analysis, privacy. Measurements of fragmentation as well as consolidation and centralization effect on the Internet Validation and repeatability of measurements, shared datasets, and measurement tools Negative results revealed by novel traffic measurements
由 Dou Sun 最后更新于

录用率

平均录用率: 40% 9 年间 (2009–2018).

年份提交数录用数录用率(%)
2018562239.3%
2017541935.2%
2016471634%
2015541629.6%
2014301136.7%
2012291862.1%
2011381436.8%
2010341441.2%
2009331545.5%

相关会议

相关期刊

CCF全称影响因子出版商ISSN
Measurement5.2Elsevier0263-2241
Social Network Analysis and Mining2.8Springer1869-5450
Measurement: SensorsElsevier2665-9174
Measurement and Control1.300SAGE0020-2940
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312

评论 0

暂无评论。

请登录后发表评论