IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)最新文献_第3页

Finding Next Service Hop with NFV-Routers 使用nfv路由器寻找下一业务跳

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2019-04-29 DOI: 10.1109/INFCOMW.2019.8845237

Adrien Wion, M. Bouet, L. Iannone, V. Conan

引用次数: 0

OpenBenchmark: Repeatable and Reproducible Internet of Things Experimentation on Testbeds OpenBenchmark:在测试平台上进行可重复和可再现的物联网实验

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2019-04-29 DOI: 10.1109/INFCOMW.2019.8845160

Mališa Vučinić, B. Skrbic, E. Kočan, M. Pejanovic, T. Watteyne

{"title":"OpenBenchmark: Repeatable and Reproducible Internet of Things Experimentation on Testbeds","authors":"Mališa Vučinić, B. Skrbic, E. Kočan, M. Pejanovic, T. Watteyne","doi":"10.1109/INFCOMW.2019.8845160","DOIUrl":"https://doi.org/10.1109/INFCOMW.2019.8845160","url":null,"abstract":"Experimentation on testbeds with Internet of Things (IoT) devices is hard. The tedious firmware development, the lack of user interfaces, the stochastic nature of the radio channel, the testbed learning curve, are some of the factors that make the evaluation process error prone. The impact of such errors on published results can be quite unfortunate, leading to misconclusions and false common wisdom. The selection of experiment conditions or performance metrics to evaluate one's own proposal may not lead to perfectly fair comparisons with state-of-the-art, either. Our research community is well aware of these problems and is actively working on solutions. We present OpenBenchmark, a cloud-based, reproducible, repeatable and comparable IoT benchmarking service. OpenBenchmark facilitates and improves the IoT experimentation workflow: it runs the experiments on supported testbeds, instruments the supported firmware according to the industry-relevant test scenarios, and collects and processes the experiment data to produce Key Performance Indicators (KPIs). This paper introduces the OpenBenchmark platform, discusses its applicability, design and implementation.","PeriodicalId":321862,"journal":{"name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132418309","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: 6

Transition-Entropy: A Novel Metric for Privacy Preservation in Location-Based Services 过渡熵:一种新的基于位置服务的隐私保护度量

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2019-04-29 DOI: 10.1109/infocomwkshps47286.2019.9093761

Sina Shaham, Ming Ding, B. Liu, Zihuai Lin, Jun Li

{"title":"Transition-Entropy: A Novel Metric for Privacy Preservation in Location-Based Services","authors":"Sina Shaham, Ming Ding, B. Liu, Zihuai Lin, Jun Li","doi":"10.1109/infocomwkshps47286.2019.9093761","DOIUrl":"https://doi.org/10.1109/infocomwkshps47286.2019.9093761","url":null,"abstract":"The advent of location-based services has created the need for preserving the location privacy of users. An adversary such as an untrusted location-based server can monitor the queried locations by a user to infer sensitive information such as the user’s home address, health conditions, shopping habits, etc. To address this issue, dummy-based algorithms have been developed to increase the anonymity of users, and thus, protecting their privacy. Unfortunately, the existing algorithms only consider a limited amount of side information known by the adversary whereas they may face more serious challenges in practice. In this paper, we consider a new type of side information based on consecutive location changes of users, and propose a new metric called transition-entropy to investigate the location privacy preservation. Furthermore, we develop a greedy algorithm to significantly improve the transition-entropy performance for a given dummy generation algorithm. Via experiments conducted on a real-life dataset, we evaluate the performance of the proposed metric and algorithm.","PeriodicalId":321862,"journal":{"name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123731953","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

Joint Trajectory and Computation Offloading Optimization for UAV-assisted MEC with NOMA 基于NOMA的无人机辅助MEC联合轨迹及计算卸载优化

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2019-04-29 DOI: 10.1109/infocomwkshps47286.2019.9093764

Fengxian Guo, Heli Zhang, Hong Ji, Xi Li, Victor C. M. Leung

{"title":"Joint Trajectory and Computation Offloading Optimization for UAV-assisted MEC with NOMA","authors":"Fengxian Guo, Heli Zhang, Hong Ji, Xi Li, Victor C. M. Leung","doi":"10.1109/infocomwkshps47286.2019.9093764","DOIUrl":"https://doi.org/10.1109/infocomwkshps47286.2019.9093764","url":null,"abstract":"Unmanned aerial vehicles (UAVs) offer cost-effective services in wireless communication with no or limited infrastructure. In this paper, a UAV-assisted mobile edge computing system is studied, in which UAV serves as a relay between the offloading users and the Base Station (BS). Furthermore, nonorthogonal multiple access (NOMA) is introduced to improve the spectrum efficiency. To enable effective computation offloading, the trajectory of UAV and multi-dimensional resource allocation play an important role in the offloading procedure. However, there still lack studies on this topic in such a network. This paper aims at joint trajectory and computation offloading optimization while considering the energy consumption of UAV and quality of services (QoS) of the users. This problem is formulated to minimize the total delay of all users. To enable tractable analysis, we first divide the original problem into two subproblems: joint optimization of trajectory and power allocation, and user schedule. Then the first problem is addressed by leveraging successive convex approximations. And the difference of convex programming theory is adopted to obtain a sub-optimal solution. With the obtained results, the user schedule indicator is finally optimized. Extensive simulation results are presented to demonstrate the effectiveness of the proposed solution.","PeriodicalId":321862,"journal":{"name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130166820","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: 24

Poster Abstract: A flexible infinite HMM model for accurate characterization and segmentation of RTT timeseries 摘要:一种用于RTT时间序列准确表征和分割的柔性无限HMM模型

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2019-04-29 DOI: 10.1109/INFCOMW.2019.8845296

Maxime Mouchet, Sandrine Vaton, T. Chonavel

引用次数: 1

Poster Abstract: The Challenge of a Common Core Backbone Network on Future Aircrafts 摘要:未来飞机共同核心骨干网的挑战

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2019-04-29 DOI: 10.1109/INFCOMW.2019.8845173

Thibault Delmas, L. Iannone, J. Garcia, B. Monsuez

引用次数: 0

VESPER: A Real-time Processing Framework for Vehicle Perception Augmentation 车辆感知增强的实时处理框架

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2019-04-29 DOI: 10.1109/infocomwkshps47286.2019.9093763

Kwame-Lante Wright, Pranav Sakulkar, B. Krishnamachari, F. Bai

{"title":"VESPER: A Real-time Processing Framework for Vehicle Perception Augmentation","authors":"Kwame-Lante Wright, Pranav Sakulkar, B. Krishnamachari, F. Bai","doi":"10.1109/infocomwkshps47286.2019.9093763","DOIUrl":"https://doi.org/10.1109/infocomwkshps47286.2019.9093763","url":null,"abstract":"With today’s intelligent vehicles, there are a variety of information-rich sensors, both on and off-board, that can stream data to assist drivers. In the future, we imagine physical infrastructure capable of sensing and communicating data to vehicles to improve a driver’s awareness on the road. To process this data and present information to the driver in real-time, we introduce VESPER, a real-time processing framework and online scheduling algorithm designed to exploit distributed devices that are connected via wireless links. A significant feature of the VESPER algorithm is its ability to navigate the trade-off between accuracy and computational complexity of modern machine learning tools by adapting the workload, while still satisfying latency and throughput requirements. We refer to this capability as polymorphic computing. VESPER also scales opportunistically to leverage the computational resources of external devices. We evaluate VESPER on an image-processing pipeline and demonstrate that it outperforms offloading schemes based on static workloads.","PeriodicalId":321862,"journal":{"name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124703739","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: 1

Query-independent dynamic similitude data models for edge-computing 边缘计算的查询无关动态相似数据模型

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2019-04-29 DOI: 10.1109/infocomwkshps47286.2019.9093754

Philip Derbeko, S. Dolev, E. Gudes

引用次数: 0

Cross-Layer Pacing for Predictably Low Latency 可预测低延迟的跨层起搏

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2019-04-29 DOI: 10.1109/infocomwkshps47286.2019.9093750

Andreas Schmidt, S. Reif, Pablo Gil Pereira, Timo Honig, T. Herfet, Wolfgang Schr¨oder-Preikschat

引用次数: 9

Intelli-Eye: An UAV Tracking System with Optimized Machine Learning Tasks Offloading 智能眼:具有优化机器学习任务卸载的无人机跟踪系统

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2019-04-29 DOI: 10.1109/infocomwkshps47286.2019.9093759

Bofu Yang, Hsiang-Huang Wu, Xuelin Cao, Xiangfang Li, Timothy S. Kroecker, Zhu Han, Lijun Qian

{"title":"Intelli-Eye: An UAV Tracking System with Optimized Machine Learning Tasks Offloading","authors":"Bofu Yang, Hsiang-Huang Wu, Xuelin Cao, Xiangfang Li, Timothy S. Kroecker, Zhu Han, Lijun Qian","doi":"10.1109/infocomwkshps47286.2019.9093759","DOIUrl":"https://doi.org/10.1109/infocomwkshps47286.2019.9093759","url":null,"abstract":"The unmanned aerial vehicles (UAVs) have been extensively used in providing intelligence such as target tracking. In our field experiments, a pre-trained deep neural network (DNN) is deployed on the UAV to identify a target from the captured video frames and enable UAV to keep tracking. However, tracking in real time by the DNN requires a lot of computational resources. This motivates us to consider offloading this type of machine learning (ML) tasks to a mobile edge computing (MEC) server. Specifically, we propose a novel hierarchical ML tasks distribution framework for the UAV tracking system, where the UAV is embedded with lower layers of the pre-trained convolutional neural network (CNN) model due to its limited computing capability, while the MEC server with rich computing resources will handle the higher layers of the CNN model. An optimization problem is formulated to minimize the CNN inference delay while taking into account the communications delay, computing time, and ML error. Insights are provided to understand the tradeoff between communications and ML computing in offloading decisions. Numerical results demonstrate the effectiveness of the proposed ML tasks distribution framework with the optimized offloading strategy.","PeriodicalId":321862,"journal":{"name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129446883","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: 6