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2022 IEEE Symposium on Computers and Communications (ISCC)最新文献

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SDN-TSCH: Enabling Software Defined Networking for Scheduled Wireless Networks with Traffic Isolation SDN-TSCH:为具有流量隔离的预定无线网络启用软件定义网络
Pub Date : 2022-06-30 DOI: 10.1109/ISCC55528.2022.9913024
F. Veisi, J. Montavont, Fabrice Théoleyre
The Industrial Internet of Things (IIoT) applications need to rely on a wireless infrastructure able to provide low end-to-end latency, and high reliability. Software-Defined Networking (SDN) is promising to make the network more agile, pushing the decision process to a controller. However, radio links are unstable while the controller needs to construct an accurate view of the network to schedule the transmissions efficiently. We propose here SDN-TSCH to separate the data and control planes for a scheduled network. We construct a reliable control plane, maintaining a collision-free path to and from the controller. Besides, SDN-TSCH guarantees flow isolation: each flow can reserve dedicated resources so that end-to-end reliability and latency constraints can be respected per flow. Finally, we also dedicate resources for best-effort traffic, to accommodate various applications. Our Cooja simulations highlight the flow isolation characteristics of SDN-TSCH: we provide very high reliability even in presence of best-effort traffic.
工业物联网(IIoT)应用需要依赖于能够提供低端到端延迟和高可靠性的无线基础设施。软件定义网络(SDN)有望使网络更加灵活,将决策过程推向控制器。然而,无线链路是不稳定的,控制器需要建立一个准确的网络视图来有效地调度传输。我们在此提出SDN-TSCH,以分离预定网络的数据平面和控制平面。我们构造了一个可靠的控制平面,保持了一条往返于控制器的无碰撞路径。此外,SDN-TSCH还保证了流隔离:每个流都可以预留专用资源,从而保证每个流都能遵守端到端的可靠性和延迟约束。最后,我们还为“尽力而为”的流量分配资源,以适应各种应用程序。我们的Cooja模拟突出了SDN-TSCH的流隔离特性:即使在尽最大努力的流量存在时,我们也提供了非常高的可靠性。
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引用次数: 3
Information Bottleneck Optimization of a Finite Bit Resolution Fast Fourier Transform 有限位分辨率快速傅里叶变换的信息瓶颈优化
Pub Date : 2022-06-30 DOI: 10.1109/ISCC55528.2022.9913001
Clemens-Konrad Mueller, Steffen Steiner, Volker Kuehn
The trend towards larger bandwidths in mobile communications requires coarse quantization to obtain energy efficient analog-to-digital converters. The question is whether quantization and subsequent processing can be optimized with respect to relevant mutual information. Current standards rely on orthogonal frequency division multiplexing (OFD M) as air interface and require the implementation of an fast Fourier transform (FFT). Inspired by the efficient implementation of low density parity check (LDPC) decoders via lookup-tables optimized by the information bottleneck (IB) method, we suggest to approximate the computation of intermediate quantities inside the FFT with IB-optimized lookup-tables being designed offline. Consequently, the FFT only relies on the mapping quantization indices for which the flow of relevant information is optimized.
移动通信中更大带宽的趋势需要粗量化来获得节能的模数转换器。问题是量化和后续处理是否可以根据相关的互信息进行优化。目前的标准依赖于正交频分复用(OFD M)作为空中接口,并要求实现快速傅里叶变换(FFT)。受低密度奇偶校验(LDPC)解码器通过信息瓶颈(IB)方法优化的查找表高效实现的启发,我们建议使用离线设计的IB优化的查找表来近似FFT内部中间量的计算。因此,FFT仅依赖于相关信息流优化的映射量化指标。
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引用次数: 1
Enabling the SLA Management of Federated Network Services through Scaling Operations 通过伸缩操作实现联邦网络服务的SLA管理
Pub Date : 2022-06-30 DOI: 10.1109/ISCC55528.2022.9912996
J. Baranda, J. Mangues‐Bafalluy, L. Vettori, R. Martínez, E. Zeydan
Slices are deployed to continuously fulfill requirements from vertical industries. Thus, the management of service level agreements (SLAs) is fundamental. Composite network services (NSs), made up of multiple nested NSs, can be exploited to build slices. Generally, slices may span multiple domains and the different nested NSs may be deployed by different providers, in what is referred to as federated NS. Previous work focused on the architectural design and workflows for the functional deployment of federated services without considering the continuous SLA management. Herein, we cover this gap by presenting a complete workflow, the required interface extensions, and the operation profiling over an experimental testbed to automatically scale nested NSs deployed in a federated domain. Evaluation results show that such scale out/in operations can be performed in tens of seconds (39/31 s, respectively), where the allocation/release of underlying resources account for most of the profiled scaling time (more than 80%).
切片的部署是为了不断满足垂直行业的需求。因此,服务水平协议(sla)的管理是基础。复合网络服务(NSs)由多个嵌套的NSs组成,可以用来构建片。通常,片可以跨越多个域,不同的嵌套网络服务可以由不同的提供者部署,这被称为联邦网络服务。以前的工作集中在联邦服务功能部署的体系结构设计和工作流上,而没有考虑持续的SLA管理。在本文中,我们通过提供一个完整的工作流、所需的接口扩展和实验测试平台上的操作分析来覆盖这一差距,以自动扩展部署在联邦域中的嵌套NSs。评估结果表明,这种向外/向内扩展操作可以在几十秒内完成(分别为39/31秒),其中底层资源的分配/释放占了所描述的扩展时间的大部分(超过80%)。
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引用次数: 1
On Metadata Privacy in Instant Messaging 即时通讯中的元数据隐私
Pub Date : 2022-06-30 DOI: 10.1109/ISCC55528.2022.9912901
Marlon Cordeiro Domenech, A. Grégio, L. C. E. Bona
Users metadata collection is a concerning issue related to Instant Messaging (IM) due to the potential of privacy violation. Even with messages' content encryption, metadata such as relationships and other communication patterns are exchanged in clear text, incurring in information leakage. In this paper, we investigate popular IM solutions to identify existing metadata, propose a broader nomenclature encompassing similar information, and assess the impact of metadata leakage on users' privacy. We also present a hierarchy of metadata based on our proposed nomenclature to allow for fair comparison among related work and easy gathering of privacy needs of users.
由于潜在的隐私侵犯,用户元数据收集是与即时消息(IM)相关的一个令人关注的问题。即使对消息的内容进行了加密,关系等元数据和其他通信模式也会以明文形式进行交换,从而导致信息泄漏。在本文中,我们研究了流行的IM解决方案来识别现有的元数据,提出了包含类似信息的更广泛的命名法,并评估了元数据泄漏对用户隐私的影响。我们还根据我们提出的命名法提出了元数据的层次结构,以便在相关工作之间进行公平比较,并便于收集用户的隐私需求。
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引用次数: 0
A New Soccer Game Optimization Modeling For Flexible Functional Splitting Dimensioning in CF-RAN Networks 一种新的CF-RAN网络中灵活功能分裂维数的足球赛优化建模
Pub Date : 2022-06-30 DOI: 10.1109/ISCC55528.2022.9912981
M. R. P. Santos, Marcel K. R. Mei, Antonio C. Oliveira, R. A. L. Rabelo, G. Figueiredo
The baseband processing centralization enabled by the Cloud Radio Access Network generates stringent latency and high bandwidth requirements. Therefore, some studies proposed using hybrid architectures and baseband functional splitting to ease such requirements. In the literature, the ideal functional splitting in hybrid RAN architectures has been tackled using integer linear programming. Such approaches guarantee optimality, but they have low scalability, making them infeasible for real deployments. On the other hand, Meta Heuristics can provide practical solutions to large combinatorial problems with a good level of accuracy (not rarely achieving optimality). This paper proposes new modeling of the functional splitting problem in Cloud Fog RANs using the meta-heuristic optimization named Soccer Game Optimization. We compared our solution to an integer linear programming formulation evaluating the correctness, energy efficiency, and network coverage. Results show that meta-heuristic achieve statistically optimality equal to the ILP in coverage and energy-efficiency.
云无线接入网支持的基带处理集中化产生了严格的延迟和高带宽要求。因此,一些研究提出使用混合架构和基带功能分裂来缓解这种需求。在文献中,使用整数线性规划解决了混合RAN架构中的理想功能分裂问题。这种方法保证了最优性,但它们具有较低的可伸缩性,使得它们在实际部署中不可行。另一方面,元启发式可以为大型组合问题提供实用的解决方案,并具有很高的准确性(很少能达到最优性)。本文提出了一种基于启发式算法的云雾网络的功能分裂问题建模方法。我们将我们的解决方案与一个整数线性规划公式进行比较,以评估其正确性、能源效率和网络覆盖率。结果表明,元启发式算法在覆盖范围和能效方面达到了与ILP相同的统计最优性。
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引用次数: 0
Water quality issues: Can we detect a creeping crisis with social media data? 水质问题:我们能通过社交媒体数据发现正在蔓延的危机吗?
Pub Date : 2022-06-30 DOI: 10.1109/ISCC55528.2022.9912859
Stelios Andreadis, N. Pantelidis, Ilias Gialampoukidis, S. Vrochidis, Y. Kompatsiaris
Social media data have been widely used in disaster management and particularly for the early detection of disaster emergencies. However, apart from sudden crises, there are also creeping crises, which are less evident but can be equally threatening to human lives, such as water pollution. The question raised is whether social media data can be used for discovering issues of water quality. In this work we attempt to answer this question by collecting posts from Twitter during the period of one year, which contain keywords about water quality, and applying three well-known techniques for event detection, i.e. Z-score, STA/LTA, and DBSCAN. A detailed presentation of the detected events, both relevant and not relevant, is given to provide more insight and proves that it is indeed feasible to identify water quality events with social media data. In addition, a quantitative evaluation of the three methods, in terms of precision, shows the superiority of Z-score for this particular topic.
社会媒体数据已广泛用于灾害管理,特别是用于早期发现灾害紧急情况。然而,除了突发危机之外,还有悄悄发生的危机,这些危机不那么明显,但对人类的生命同样构成威胁,比如水污染。提出的问题是,社交媒体数据是否可以用于发现水质问题。在这项工作中,我们试图通过收集Twitter上一年的帖子来回答这个问题,这些帖子包含有关水质的关键词,并应用三种众所周知的事件检测技术,即Z-score, STA/LTA和DBSCAN。详细介绍了检测到的事件,包括相关的和不相关的,以提供更多的见解,并证明利用社交媒体数据识别水质事件确实是可行的。此外,对这三种方法的精度进行定量评估,显示了Z-score在这个特定主题上的优势。
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引用次数: 0
Road Traffic Density Estimation Based on Heterogeneous Data Fusion 基于异构数据融合的道路交通密度估计
Pub Date : 2022-06-30 DOI: 10.1109/ISCC55528.2022.9912917
Philipp Zißner, Paulo H. L. Rettore, B. P. Santos, R. Lopes, P. Sevenich
This investigation starts with the hypothesis that fusing heterogeneous data sources can increase the data coverage and improve the accuracy of traffic-related applications in Intel-ligent Transportation Systems (ITS). Therefore, we designed (i) a Data Fusion on Intelligent Transportation Systems (DataFITS) framework that allows collecting data from numerous sources and fusing them according to spatial and temporal criteria; (ii) a traffic estimation method that groups road segments into regions, identify correlations between them, and measure the traffic distribution to estimate traffic. As a result, DataFITS increased by 130% the number of road segments coverage and enhanced, by fusion process, around 35% of road overlapping data sources. We evaluate the traffic estimation of the 15 most correlated regions, where the fused data together with correlated areas resulted in the best traffic estimation accuracy by reaching up to 40% in some cases and 9% on average.
本研究首先假设融合异构数据源可以增加数据覆盖范围并提高智能交通系统(ITS)中交通相关应用的准确性。因此,我们设计了(i)智能交通系统数据融合(DataFITS)框架,允许从众多来源收集数据,并根据空间和时间标准融合它们;(ii)一种交通估计方法,将道路分段划分为区域,识别它们之间的相关性,并测量交通分布以估计交通。结果,DataFITS的路段覆盖数量增加了130%,并通过融合过程增强了约35%的道路重叠数据源。我们对15个最相关区域的流量估计进行了评估,其中融合的数据与相关区域一起产生了最佳的流量估计精度,在某些情况下达到40%,平均达到9%。
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引用次数: 1
Data-Plane Energy Efficiency of a Next-Generation Internet Architecture 下一代互联网架构的数据平面能效研究
Pub Date : 2022-06-30 DOI: 10.1109/ISCC55528.2022.9912464
Seyedali Tabaeiaghdaei, A. Perrig
In the face of the ever-increasing power consumption of the information and communication technology sector, next-generation Internet architectures offer an opportunity to improve the energy consumption of the Internet. The SCION architecture is unique in that it has reached commercial deployment and thus opens up opportunities for estimating and understanding the promised energy efficiency from a realistic perspective. In this work, we introduce a method that uses the available energy consumption models for the current Internet architecture to estimate the energy efficiency of SCION's data plane. By applying this method to the best available power consumption models of the Internet, we show that while providing advanced security and availability guarantees, SCION can reduce global data plane power consumption by around 700 MW. We further investigate the impact of the SCION's quality of service (QoS) extension on data plane's power consumption and conclude that SCION with its QoS extension can reduce the power consumption of the Internet by up to 2.88 GW. Therefore, SCION, with its QoS extension, reduces the power consumption of the Internet and the whole ICT sector by up to 9.4% and 1.3%, respectively.
面对信息和通信技术部门不断增长的能耗,下一代互联网架构提供了改善互联网能耗的机会。SCION架构的独特之处在于它已经实现了商业部署,从而为从现实的角度估计和理解承诺的能源效率提供了机会。在这项工作中,我们介绍了一种方法,利用现有的互联网架构的能量消耗模型来估计SCION数据平面的能量效率。通过将该方法应用于互联网的最佳可用功耗模型,我们表明,在提供先进的安全性和可用性保证的同时,SCION可以将全球数据平面功耗降低约700 MW。我们进一步研究了SCION服务质量(QoS)扩展对数据平面功耗的影响,得出了具有QoS扩展的SCION可以减少互联网功耗高达2.88 GW的结论。因此,通过对QoS的扩展,SCION可以将互联网和整个ICT行业的功耗分别降低9.4%和1.3%。
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引用次数: 2
GRETA: erGonomic stREss Tracking pAd 葛丽塔:符合人体工程学的压力追踪板
Pub Date : 2022-06-30 DOI: 10.1109/ISCC55528.2022.9912904
Benedetta Bolis, Lorenzo Fratini, Mirko Salaris, M. Santambrogio
Several studies have shown stress to be associated with increased rates of heart attack, hypertension, and other disorders. In this regard, office workers are subjected to the dullness of their daily working routine which does nothing but increase their stress exposure. On the basis of these facts, our work acts as a proposal for a novel health-care-embedded system thought to detect the time course of a few vital signs, strictly related to stress, and to be a cost-effective solution for the market. The project, named GRETA (erGonomic stREss Tracking pAd), is based on a rubber-cork working pad provided with a set of photoplethysmography sensors that allow us to collect data about the ventral-wrist heart rate time evolution of average workers in an office setting environment. To this purpose, we designed our device in order to be as comfortable and noninvasive as possible and the implementation of the software and hardware part aims at reducing any environmental noise source, i.e., thermal noise, irregular detection, and sudden movements, in order to enable a cleaner data analysis.
一些研究表明,压力与心脏病发作、高血压和其他疾病的发病率增加有关。在这方面,上班族每天都要忍受枯燥的日常工作,这只会增加他们的压力。基于这些事实,我们的工作作为一种新型医疗嵌入式系统的建议,该系统被认为可以检测一些与压力严格相关的生命体征的时间过程,并且是市场上具有成本效益的解决方案。该项目名为GRETA(人体工程学压力跟踪垫),基于橡胶软木工作垫,配有一组光电脉搏传感器,使我们能够收集有关办公室环境中普通员工腹侧手腕心率时间演变的数据。为此,我们设计了尽可能舒适和无创的设备,软件和硬件部分的实现旨在减少任何环境噪声源,即热噪声,不规则检测和突然运动,以便能够更清晰地进行数据分析。
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引用次数: 0
A Smart Ecosystem to improve Patient Monitoring using Wearables, Intelligent Agents, Complex Event Processing and Image Processing 使用可穿戴设备、智能代理、复杂事件处理和图像处理改善患者监测的智能生态系统
Pub Date : 2022-06-30 DOI: 10.1109/ISCC55528.2022.9912829
Lorenzo De Lauretis, Fabio Persia, Stefania Costantini
Our work describes a smart-ecosystem able to mon-itor patients' health condition, even at home or at work, by ex-ploiting a creative blend of Medical Wearables, Intelligent Agents, Complex Event Processing and Image Processing. With the help of a smart application, that links together the Wearables and the power of Artificial Intelligence, patients will be continuously and actively supervised during their daily activities. This can even save their lives, in case sudden or gradual issues should occur. Using our system, patients with non-severe though potentially unstable chronic diseases will no longer overburden first aid services. This is also useful for containing the spread of COVID-19. Specifically, in this paper we focus on automated vitals monitoring, electrocardiogram (ECG) analysis, and Psoriasis detection.
我们的工作描述了一个智能生态系统,能够通过利用医疗可穿戴设备、智能代理、复杂事件处理和图像处理的创造性融合,监测患者的健康状况,甚至在家里或工作中。在智能应用程序的帮助下,将可穿戴设备和人工智能的力量联系在一起,患者将在日常活动中受到持续和积极的监督。这甚至可以挽救他们的生命,以防突然或渐进的问题发生。使用我们的系统,非严重但可能不稳定的慢性病患者将不再使急救服务负担过重。这对遏制COVID-19的传播也很有用。具体来说,本文将重点介绍自动生命体征监测,心电图(ECG)分析和银屑病检测。
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引用次数: 1
期刊
2022 IEEE Symposium on Computers and Communications (ISCC)
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