2018 30th International Teletraffic Congress (ITC 30)最新文献_第3页

Performance Implications of Packet Filtering with Linux eBPF Linux eBPF包过滤的性能影响

2018 30th International Teletraffic Congress (ITC 30) Pub Date : 2018-09-01 DOI: 10.1109/ITC30.2018.00039

D. Scholz, Daniel Raumer, Paul Emmerich, Alexander Kurtz, Krzysztof Lesiak, G. Carle

引用次数: 50

Online Algorithms for Cost-Effective Cloud Selection with Multiple Demands 基于多需求的高性价比云选择在线算法

2018 30th International Teletraffic Congress (ITC 30) Pub Date : 2018-09-01 DOI: 10.1109/ITC30.2018.00014

Youngmi Jin, M. Hayashi, A. Tagami

引用次数: 3

Statistical Delay Bounds for Automatic Repeat Request Protocols with Pipelining 带有流水线的自动重复请求协议的统计延迟界限

2018 30th International Teletraffic Congress (ITC 30) Pub Date : 2018-09-01 DOI: 10.1109/ITC30.2018.00011

M. Akselrod, M. Fidler

{"title":"Statistical Delay Bounds for Automatic Repeat Request Protocols with Pipelining","authors":"M. Akselrod, M. Fidler","doi":"10.1109/ITC30.2018.00011","DOIUrl":"https://doi.org/10.1109/ITC30.2018.00011","url":null,"abstract":"The recent trend towards low-latency wireless communication requires a notion of non-ergodic capacity that deals with delays. Significant research in areas, such as effective capacity, delay-constrained capacity, and stochastic service curves, has contributed such results for relevant physical layer aspects, like fading processes, interference, and multiple antenna systems. Less attention has been paid to actual implementations of link layer automatic repeat request protocols. Instead, error-free transmission using instantaneous channel state information, simple stop-and-wait protocols, or instantaneous feedback are frequently assumed. In this work, we investigate protocols with pipelining that deal with packet errors under non-negligible round-trip-times. We define a stochastic service curve model of a general class of automatic repeat request protocols with pipelining and derive statistical waiting time and sojourn time bounds. We discover two regimes: under low to moderate load retransmissions cause the largest part of the sojourn time, whereas under high load the waiting time dominates the sojourn time. Generally, with increasing round-trip-time the basic cases of stop-and-wait protocols or instantaneous feedback neglect relevant effects and provide less accurate estimates.","PeriodicalId":159861,"journal":{"name":"2018 30th International Teletraffic Congress (ITC 30)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116032044","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: 2

Optimization of Controller Placement and Information Flow in Softwarized Networks 软件网络中控制器布局与信息流的优化

2018 30th International Teletraffic Congress (ITC 30) Pub Date : 2018-09-01 DOI: 10.1109/ITC30.2018.00026

Stanislav Lange

引用次数: 1

NetCal 2018 Schedule NetCal 2018时间表

2018 30th International Teletraffic Congress (ITC 30) Pub Date : 2018-09-01 DOI: 10.1109/itc30.2018.10051

引用次数: 0

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2018 30th International Teletraffic Congress (ITC 30) Pub Date : 2018-09-01 DOI: 10.1109/itc30.2018.10046

引用次数: 0

Online Resource Allocation in Dynamic Optical Networks 动态光网络中的在线资源分配

2018 30th International Teletraffic Congress (ITC 30) Pub Date : 2018-09-01 DOI: 10.1109/ITC30.2018.00025

R. Reyes, T. Bauschert

引用次数: 2

Cognitive Real-Time QoE Management in Video Streaming Services 视频流服务中的认知实时QoE管理

2018 30th International Teletraffic Congress (ITC 30) Pub Date : 2018-09-01 DOI: 10.1109/ITC30.2018.00028

M. T. Vega, A. Liotta

{"title":"Cognitive Real-Time QoE Management in Video Streaming Services","authors":"M. T. Vega, A. Liotta","doi":"10.1109/ITC30.2018.00028","DOIUrl":"https://doi.org/10.1109/ITC30.2018.00028","url":null,"abstract":"Satisfying the needs of users of online video streaming services requires not only to manage the network Quality of Service (QoS), but also to address the user's Quality of Experience (QoE) expectations. While QoS factors reflect the status of individual networks, they do not comprehensively capture the end-to-end features affecting the quality delivered to the user. In this situation, QoE management is the better option. However, traditionally used QoE management models require human interaction and have stringent requirements in terms of time and complexity. Thus, they fail to achieve successful performance in terms of real-timeliness, accuracy, scalability and adaptability. This dissertation work investigates new methods to bring QoE management to the level required by the real-time management of video services. In this paper, we highlight our main contributions. First, with the aim to perform a combined network-service assessment, we designed an experimental methodology able to map network QoS onto service QoE. Our methodology is meant to provide service and network providers with the means to pinpoint the working boundaries of their video-sets and to predict the effect of network policies on perception. Second, we developed a generic machine learning framework that allows deriving accurate predictive No Reference (NR) assessment metrics, based on simplistic NR QoE methods, that are functionally and computationally viable for real-time QoE evaluation. The tools, methods and conclusions derived from this dissertation conform a solid contribution to QoE management of video streaming services, opening new venues for further research.","PeriodicalId":159861,"journal":{"name":"2018 30th International Teletraffic Congress (ITC 30)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126015592","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: 4

WhatsAnalyzer: A Tool for Collecting and Analyzing WhatsApp Mobile Messaging Communication Data WhatsAnalyzer:收集和分析WhatsApp移动消息通信数据的工具

2018 30th International Teletraffic Congress (ITC 30) Pub Date : 2018-09-01 DOI: 10.1109/ITC30.2018.00020

Anika Schwind, Michael Seufert

引用次数: 9

Time Constrained Service-Aware Migration of Virtualized Services for Mobile Edge Computing 移动边缘计算虚拟化服务的时间约束感知迁移

2018 30th International Teletraffic Congress (ITC 30) Pub Date : 2018-09-01 DOI: 10.1109/ITC30.2018.00017

Peiyue Zhao, G. Dán

引用次数: 6