2022 IEEE 11th International Conference on Cloud Networking (CloudNet)最新文献_第2页

Decision Algorithm for Computational Offloading in Vehicular Fog Computing with Pedestrians 有行人的车辆雾计算中计算卸载的决策算法

2022 IEEE 11th International Conference on Cloud Networking (CloudNet) Pub Date : 2022-11-07 DOI: 10.1109/CloudNet55617.2022.9978821

P. Rocha, A. Souza, Francisco Airton Silva, P. Rego

引用次数: 0

ImMuNE: Improved Multilateration in Noisy Environments 免疫:改善在嘈杂环境下的多倍体

2022 IEEE 11th International Conference on Cloud Networking (CloudNet) Pub Date : 2022-11-07 DOI: 10.1109/CloudNet55617.2022.9978907

Mathieu Champion, M. Dacier, Elisa Chiapponi

{"title":"ImMuNE: Improved Multilateration in Noisy Environments","authors":"Mathieu Champion, M. Dacier, Elisa Chiapponi","doi":"10.1109/CloudNet55617.2022.9978907","DOIUrl":"https://doi.org/10.1109/CloudNet55617.2022.9978907","url":null,"abstract":"Identifying an attacker is a key factor to mitigate ongoing attacks. To evade localization, a single compromised machine can hide for months behind millions of available residential ip proxies. Without knowing the ip address of the machine, registration-based geolocation methods cannot be applied.Measurement-based methods have been proposed to estimate the location of a target without using its ip address. These methods use Round Trip Time (rtt) values and network speed modeling. They estimate a distance between the target and other observation points with known locations, called landmarks. However, most of these methods require additional information, whether it is on the topology of the network or the characteristics of the landmarks.In this paper, we present immune, a measurement-based technique which can estimate a location with only a few Round Trip Time measurements between a target and landmarks, even when some of these measures are inflated by temporary network congestion.Leveraging a previously made measurement campaign, we present promising results based on 11 millions tcp connections collected over a period of 4 months.","PeriodicalId":260541,"journal":{"name":"2022 IEEE 11th International Conference on Cloud Networking (CloudNet)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126569594","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

Design and Evaluation of a Low-Latency CPC Environment for Virtual IEDs 虚拟ied低延迟CPC环境的设计与评估

2022 IEEE 11th International Conference on Cloud Networking (CloudNet) Pub Date : 2022-11-07 DOI: 10.1109/CloudNet55617.2022.9978874

R. Carvalho, M. Antunes, J. Barraca, D. Gomes, Rui L. Aguiar

{"title":"Design and Evaluation of a Low-Latency CPC Environment for Virtual IEDs","authors":"R. Carvalho, M. Antunes, J. Barraca, D. Gomes, Rui L. Aguiar","doi":"10.1109/CloudNet55617.2022.9978874","DOIUrl":"https://doi.org/10.1109/CloudNet55617.2022.9978874","url":null,"abstract":"Communication infrastructures are increasingly relying on Edge Computation as a method for increased flexibility and low latency performance. This vision, of a highly capable, low latency and orchestrated communication fringe, with extensive virtualization, is of particular interest to Protection Functions in modern power grids. Limitations are however present due to the low latency requirements in commodity hardware coupled with multiple virtualization layers, presenting challenges to the design of virtual Intelligent Electronic Devices (IEDs). This work presents the architecture, key technological challenges, and results obtained when implementing virtualized functions, ported from real-world hardware solutions, and deployed to an orchestrated host, with support for extensive monitoring and security functions. Strict low latency requirements were observed, in accordance with the processing limits of IEC 61850 Sampled Values and GOOSE messages, following a declarative model using OASIS TOSCA, to define mixed-criticality virtualized elements that form a Centralized Protection and Control (CPC) device.","PeriodicalId":260541,"journal":{"name":"2022 IEEE 11th International Conference on Cloud Networking (CloudNet)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122608252","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

Latency-Constrained Task Distribution in Multi-Access Edge Computing Systems 多访问边缘计算系统中时延约束的任务分配

2022 IEEE 11th International Conference on Cloud Networking (CloudNet) Pub Date : 2022-11-07 DOI: 10.1109/CloudNet55617.2022.9978788

G. Ricardo, Amal Benhamiche, N. Perrot, Y. Carlinet

{"title":"Latency-Constrained Task Distribution in Multi-Access Edge Computing Systems","authors":"G. Ricardo, Amal Benhamiche, N. Perrot, Y. Carlinet","doi":"10.1109/CloudNet55617.2022.9978788","DOIUrl":"https://doi.org/10.1109/CloudNet55617.2022.9978788","url":null,"abstract":"Multi-Access Edge Computing (MEC) paradigm has been widely studied as a potential solution to cope with the challenges emerging from new generations of mobile networks. By processing applications’ data closer to the users, service providers are able to offload origin servers and their underlying network infrastructure, which consequently reduces users’ experienced latency. In this paper, we consider internet-based applications with strict latency tolerance which are primarily enabled by the MEC architecture, e.g., Virtual Reality (VR) control systems, cloud gaming, and smart healthcare. Moreover, nodes at the edge may host application-related tasks as well as assist in their provision. We introduce the Task Distribution (TD) problem, where the objective is to maximize the overall Quality of Service (QoS) while ensuring that tasks’ latency requirements are satisfied. The TD problem is modeled as an Integer Programming problem, taking into account three components: (i) tasks’ priority assignment, (ii) placement and (iii) routing through the MEC network. We propose to approach the TD problem through an approximation scheme, called Shortest-Flow Approximation (SFA), which considers pre-determined network flows selected according to a Betweenness-based criterion. In our experiments, we first extract useful insights on the TD problem that help characterize its solution. Then, we evaluate SFA’s performance empirically across different experimental settings, showing numerical results confirming its proximity to the optimal solution.","PeriodicalId":260541,"journal":{"name":"2022 IEEE 11th International Conference on Cloud Networking (CloudNet)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123866400","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: 0

NSPlacer: A Tool for Evaluating Service Placement Algorithms in Post-5G Networks NSPlacer:一个评估后5g网络中服务放置算法的工具

2022 IEEE 11th International Conference on Cloud Networking (CloudNet) Pub Date : 2022-11-07 DOI: 10.1109/CloudNet55617.2022.9978830

Masoud Taghavian, Y. H. Aoul, Géraldine Texier, P. Bertin

{"title":"NSPlacer: A Tool for Evaluating Service Placement Algorithms in Post-5G Networks","authors":"Masoud Taghavian, Y. H. Aoul, Géraldine Texier, P. Bertin","doi":"10.1109/CloudNet55617.2022.9978830","DOIUrl":"https://doi.org/10.1109/CloudNet55617.2022.9978830","url":null,"abstract":"Network Function Virtualization (NFV) has been a prominent shift from dedicated network devices towards reusable Virtual Network Functions (VNF). Today’s network services are defined as a graph of VNFs connected via Virtual Links (VL), which are realized by placing its elements on their corresponding substrate network nodes and links. Eﬃcient placement of the network services is one of the most important challenges introduced by NFV. We propose a demonstration of the \"Network Service Placer (NSPlacer)\", a tool to enable the evaluation of the placement algorithms. By being able to adjust various parameters, related to the substrate network, the service and the placement algorithm, and thanks to the already implemented interesting placement algorithms, our online tool can provide near-optimal and optimal results to serve as a comparison with many placement solutions. Made available to the community, our tool aims to contribute to the reproducibility of the research results by offering a set of reference algorithms to which everyone can compare their solution and even integrate it into the set of available algorithms of the tool.","PeriodicalId":260541,"journal":{"name":"2022 IEEE 11th International Conference on Cloud Networking (CloudNet)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124233196","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: 0

Efficient Multipath Selection for IoT Video Transmission 物联网视频传输的高效多路径选择

2022 IEEE 11th International Conference on Cloud Networking (CloudNet) Pub Date : 2022-11-07 DOI: 10.1109/CloudNet55617.2022.9978786

F. Bhering, D. Passos, C. Albuquerque, K. Obraczka

{"title":"Efficient Multipath Selection for IoT Video Transmission","authors":"F. Bhering, D. Passos, C. Albuquerque, K. Obraczka","doi":"10.1109/CloudNet55617.2022.9978786","DOIUrl":"https://doi.org/10.1109/CloudNet55617.2022.9978786","url":null,"abstract":"In IoT video applications, such as public transportation and traffic monitoring, video is often transmitted over a multi-hop wireless network and has stringent Quality of Service requirements. While multipath routing has been proposed as an effective strategy for supporting this demand, it should select paths that meet the requirements of the driving video application in a timely manner. In this paper, we introduce FITPATH, an efficient and adaptable path selection scheme for multipath routing that can accommodate scenarios where multiple video sources can simultaneously transmit heterogeneous video flows, i.e., flows of different bitrates. FITPATH uses a novel heuristic-based iterative optimization approach that estimates the conditions of the underlying network in real time while accounting for the different bitrate requirements of the application video flows. We show FITPATH outperforms various existing path selection mechanisms both in terms of user QoE and network performance. We also evaluate FITPATH’s convergence to demonstrate that it can be used in practice to quickly generate solutions with adequate video quality while incrementally improving QoE as the algorithm iterates.","PeriodicalId":260541,"journal":{"name":"2022 IEEE 11th International Conference on Cloud Networking (CloudNet)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128421398","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: 0

Resource Allocation in Multiple Backup Modes under Reliability Guarantee with Workload-Dependent Failure Probability 工作负载相关故障概率下可靠性保证下的多备份模式资源分配

2022 IEEE 11th International Conference on Cloud Networking (CloudNet) Pub Date : 2022-11-07 DOI: 10.1109/CloudNet55617.2022.9978796

Mengfei Zhu, E. Oki

{"title":"Resource Allocation in Multiple Backup Modes under Reliability Guarantee with Workload-Dependent Failure Probability","authors":"Mengfei Zhu, E. Oki","doi":"10.1109/CloudNet55617.2022.9978796","DOIUrl":"https://doi.org/10.1109/CloudNet55617.2022.9978796","url":null,"abstract":"This paper proposes a primary and backup resource allocation model under reliability guarantees to minimize the deployment cost, which is considered as the number of activated physical nodes. We suppose that each node has a workload-dependent failure probability, which reveals a relationship between workload and node failure probability. Backup resources are allocated for the recovery of an unavailable function in a period, where the time relates to different backup modes and assigned recovery workload. We consider multiple states of pre-configuration for each function with different degrees of instantiation, initialization, synchronization, and different recovery times. We consider that the extra-assigned recovery resources can be adopted, which means that the recovery workload can be scaled, to speed up the recovery, while improving the resource efficiency to fully utilize the idle capacity for faster recovery. On the other hand, the extra-assigned recovery resources may lead to unsuccessful recovery in a specific failure configuration. We consider two reliability indicators, which are recovery time and the total unsuccessful recovery probability; each reliability indicator is restricted under a guarantee while minimizing the number of activated nodes as deployment cost. Adopting the proposed model saves on average 14% and 11% of the deployment cost when compared to baselines that do not incorporate variable backup modes and extra-assigned recovery resources, respectively, in our tests.","PeriodicalId":260541,"journal":{"name":"2022 IEEE 11th International Conference on Cloud Networking (CloudNet)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116952524","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

Measuring Cloud Latency in Africa 在非洲测量云延迟

2022 IEEE 11th International Conference on Cloud Networking (CloudNet) Pub Date : 2022-11-07 DOI: 10.1109/CloudNet55617.2022.9978896

Opeoluwa Victor Babasanmi, Josiah Chavula

{"title":"Measuring Cloud Latency in Africa","authors":"Opeoluwa Victor Babasanmi, Josiah Chavula","doi":"10.1109/CloudNet55617.2022.9978896","DOIUrl":"https://doi.org/10.1109/CloudNet55617.2022.9978896","url":null,"abstract":"Internet and Public Cloud adoption has been growing all over the world, and major Cloud Providers have a growing presence in Africa. However, little research has been conducted on performance of the Cloud in Africa, particularly from end users' point of view. This study measures network latencies experienced in Africa when accessing public Cloud infrastructure, and compares this with what is achievable in Europe. We use the RIPE Atlas platform to run latency and traceroute measurements to CDN endpoints and servers in datacenters in Africa and Europe. Reverse measurements are also conducted from the Virtual servers to non-RIPE endpoints in both Africa and Europe. Our results show that clients in Africa mostly use CDN nodes located outside the continent, resulting in higher latencies. We also observed some clients making use of circuitous routes to cloud destinations within Africa. In Europe, we found that a majority of CDN endpoints used were local, which resulted in lower latencies. We also find that using CDN nodes in Africa provides up to 87% lower latencies than accessing the Data Centres directly. In Europe, CDN access provided up to 142% lower latencies than accessing Data Centers. Results of this study should motivate cloud providers to continue increasing their CDN presence in Africa and to work with local ISPs to optimise routing and content delivery from their cloud infrastructure.","PeriodicalId":260541,"journal":{"name":"2022 IEEE 11th International Conference on Cloud Networking (CloudNet)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125349183","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

MPLS-Kit: An MPLS Data Plane Toolkit MPLS- kit: MPLS数据平面工具包

2022 IEEE 11th International Conference on Cloud Networking (CloudNet) Pub Date : 2022-11-07 DOI: 10.1109/CloudNet55617.2022.9978791

J. Vanerio, Stefan Schmid, M. K. Schou, J. Srba

{"title":"MPLS-Kit: An MPLS Data Plane Toolkit","authors":"J. Vanerio, Stefan Schmid, M. K. Schou, J. Srba","doi":"10.1109/CloudNet55617.2022.9978791","DOIUrl":"https://doi.org/10.1109/CloudNet55617.2022.9978791","url":null,"abstract":"Networking research often requires a means to quickly generate different realistic networks for evaluating the practical relevance. This is especially the case for emerging fields related to the automated verification of network configurations (\"what-if analysis\") or to AI-driven network operations (\"self-driving networks\"). Unfortunately, the data of real world network deployments are often scarce. In particular, while the topologies of many real communication networks have been made available online, this data typically does not include the routers’ forwarding tables, e.g., by Internet Service Providers (ISPs). This introduces a dilemma, as generating arbitrary forwarding rules for these topologies may not adequately mimic network behavior.We present MPLS-Kit, a tool for the automated generation of realistic MPLS data planes. In particular, the tool supports an efficient generation of MPLS data planes following widely-deployed industry-standard control protocols on top of arbitrary network topologies. Notably, MPLS-Kit supports the instantiation of MPLS Fast Reroute and VPN services. It further supports packet-level simulations providing a rich set of statistics about the simulated data plane which can be used for numerous applications, like congestion, latency, and resilience analysis. The generated data planes can be further exported in standard exchange formats and analyzed by formal verification tools.","PeriodicalId":260541,"journal":{"name":"2022 IEEE 11th International Conference on Cloud Networking (CloudNet)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131836587","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

Improving Fairness for QoE of Adaptive Video Streaming over ICN 改进ICN自适应视频流QoE公平性

2022 IEEE 11th International Conference on Cloud Networking (CloudNet) Pub Date : 2022-11-07 DOI: 10.1109/CloudNet55617.2022.9978834

Rei Nakagawa, S. Ohzahata, R. Yamamoto

{"title":"Improving Fairness for QoE of Adaptive Video Streaming over ICN","authors":"Rei Nakagawa, S. Ohzahata, R. Yamamoto","doi":"10.1109/CloudNet55617.2022.9978834","DOIUrl":"https://doi.org/10.1109/CloudNet55617.2022.9978834","url":null,"abstract":"Information centric network (ICN) improves the communication quality by flexible content-based control according to application-level information of video content. Then, adaptive video streaming is applied to ICN to improve the client’s quality of experience (QoE). In previous research for adaptive bitrate (ABR) algorithms for ICN, the buffer-based ABR algorithm (BBA), which is designed to change a bitrate according to the video buffer length of video player in a client, is effective for QoE of the single client. However, in terms of QoE fairness among BBA clients sharing a bottleneck, since each client adjusts a bitrate independently, the clients, which communicate with the lower bitrate video, have to decrease their bitrate even when the bottleneck link is occupied by the other clients communicating with the higher bitrate. This results in QoE unfairness and degradation of overall QoE for all clients. To improve overall QoE, this paper presents the approach to decrease bitrate differences among clients by increasing the bitrate of the lower bitrate clients before the bandwidth of bottleneck link is excessively occupied by communications for the higher bitrate clients in terms of QoE fairness. Then, we propose notification-based bitrate control in which distributed servers/routers detect congestion early and explicitly notify the lower bitrate clients to increase the bitrate before the bottleneck link is occupied, while encouraging the highest bitrate clients to decrease for congestion avoidance. Through the simulation experiments, the proposed system improves both QoE fairness and overall QoE metrics.","PeriodicalId":260541,"journal":{"name":"2022 IEEE 11th International Conference on Cloud Networking (CloudNet)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134628020","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: 0