2018 IEEE 7th International Conference on Cloud Networking (CloudNet)最新文献_第6页

2018 IEEE 7th International Conference on Cloud Networking (CloudNet) 2018 IEEE第七届云网络国际会议(CloudNet)

2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/cloudnet.2018.8549541

引用次数: 0

Cycle and Divergence of Performance on TCP BBR TCP BBR性能的周期与发散

2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549411

Kouto Miyazawa, Kanon Sasaki, Naoki Oda, Saneyasu Yamaguchi

{"title":"Cycle and Divergence of Performance on TCP BBR","authors":"Kouto Miyazawa, Kanon Sasaki, Naoki Oda, Saneyasu Yamaguchi","doi":"10.1109/CloudNet.2018.8549411","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549411","url":null,"abstract":"A new high-performance TCP congestion control algorithm, called TCP BBR, was proposed in 2016. It achieves excellent performance especially on a network with high latency and high packet loss ratio. The interaction between TCP BBR and other TCP algorithms has not been discussed enough. In this paper, we focus on TCP BBR and CUBIC TCP, which is the most widely used algorithm in Linux operating system, and investigate the performance behaviors of TCP BBR and CUBIC TCP in a situation wherein these two TCP congestion control algorithms work concurrently. We then introduce three novel findings, which are extreme inter-protocol performance imbalance, intra-protocol performance balance, and cyclic performance switch. The first one means that the connections of a TCP algorithm consume almost all the bandwidth. The second one indicates that the performances of all the connections of a TCP algorithm increase and decrease as a group. The third one means that the extremely imbalanced performance switches periodically. We introduce a method for monitoring the parameters of TCP BBR and discuss the reason of and methods for relieving these features based on the monitored parameters. We postulate that difficulty of proving the bottleneck bandwidth and positive feedback mechanism on TCP BBR are important reasons. We assume that decreasing the buffer size of the bottleneck link can relieve these features.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"74 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114253340","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: 23

LL-MEC: Enabling Low Latency Edge Applications LL-MEC:启用低延迟边缘应用程序

2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549500

N. Nikaein, Xenofon Vasilakos, A. Huang

{"title":"LL-MEC: Enabling Low Latency Edge Applications","authors":"N. Nikaein, Xenofon Vasilakos, A. Huang","doi":"10.1109/CloudNet.2018.8549500","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549500","url":null,"abstract":"We present LL-MEC, the first open source Low-Latency Multi-access Edge Computing (MEC) platform enabling mobile network monitoring, control, and programmability while retaining compatibility with 3GPP and ETSI specifications. LL-MEC achieves coordinated resource programmability in end-to-end slicing scenarios by leveraging SDN towards an appropriate allocation of resources, thus drastically improving the performance of slices. We evaluate LL-MEC in three practical case studies, namely, (i) end-to-end mobile network slicing, (ii) RAN-aware video content optimization and (iii) IoT gateway, and show that it achieves a 2-4x lower user plane latency compared to LTE, while enabling low latency edge applications to operate on a per millisecond basis. Also, we highlight the benefits of RAN-aware applications in improving user Quality of Experience (QoE), showing a significant user latency reduction along with a much lower variability compared to legacy LTE. Last, a compatibility evaluation of LL-MEC over the OpenAirInterface real-time LTE platform demonstrates the scalability merits of LL-MEC due to the use of an OpenFlow Virtual Switch for the user plane function, rather than a Linux kernel in typical LTE setups.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123663381","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

FragGuide: Enforcing Network Policies on Fragmented Packets FragGuide:对分片报文执行网络策略

2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549342

Y. Zhang, Lin Cui, Fung Po Tso

引用次数: 0

Hi-Clust: Unsupervised Analysis of Cloud Latency Measurements Through Hierarchical Clustering 高聚类:通过分层聚类对云延迟测量的无监督分析

2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549558

Pavol Mulinka, P. Casas, L. Kencl

{"title":"Hi-Clust: Unsupervised Analysis of Cloud Latency Measurements Through Hierarchical Clustering","authors":"Pavol Mulinka, P. Casas, L. Kencl","doi":"10.1109/CloudNet.2018.8549558","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549558","url":null,"abstract":"Latency is nowadays one of the most relevant network and service performance metrics reflecting end-user experience. With the wide adoption and deployment of delay-sensitive applications in the Cloud (e.g., gaming, interactive video conferencing, corporate services, etc.), monitoring and analysis of Cloud service latency is becoming increasingly relevant for Cloud service providers, tenants and even users. Traditional network monitoring approaches based on time-series analysis and thresholding are capable of raising alarms when anomalous events arise, but are not applicable to detect correlations among multiple monitored dimensions, necessary to provide an adequate interpretation of an anomaly. In this paper we present Hi-Clust, an unsupervised-based approach for analyzing and interpreting anomalies in multi-dimensional network data, through the application of hierarchical clustering techniques. While Hi-Clust is applicable to the analysis of different types of nested or hierarchically structured data, we particularly focus on the analysis of Cloud service latency, using active measurements collected from geographically distributed vantage points. We implement and benchmark multiple density-based clustering approaches for Hi-Clust over four weeks of real multidimensional Cloud service latency measurements. Using the most robust underlying clustering algorithm from the benchmark, we show how to automatically extract and interpret anomalous Cloud service behavior with Hi-Clust. In addition, we show the advantages of Hi-Clust over traditional threshold-based approaches for detecting and interpreting anomalous behavior, through practical examples over the collected measurements.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115482484","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

ASA: Adaptive VNF Scaling Algorithm for 5G Mobile Networks ASA: 5G移动网络的自适应VNF缩放算法

2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549542

Yi Ren, Tuan Phung-Duc, Yi-Kuan Liu, Jyh-cheng Chen, Yi-Hao Lin

引用次数: 10

Evolving Risk Management Against Advanced Persistent Threats in Fog Computing 针对雾计算中高级持续性威胁的演进风险管理

2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549403

Shaohan Feng, Zehui Xiong, D. Niyato, Ping Wang, Amir Leshem

{"title":"Evolving Risk Management Against Advanced Persistent Threats in Fog Computing","authors":"Shaohan Feng, Zehui Xiong, D. Niyato, Ping Wang, Amir Leshem","doi":"10.1109/CloudNet.2018.8549403","DOIUrl":"https://doi.org/10.1109/CloudNet.2018.8549403","url":null,"abstract":"With the capability of support mobile computing demand with small delay, fog computing has gained tremendous popularity. Nevertheless, its highly virtualized environment is vulnerable to cyber attacks such as emerging Advanced Persistent Threats attack. In this paper, we propose a novel approach of cyber risk management for the fog computing platform. Particularly, we adopt the cyber-insurance as a tool for neutralizing cyber risks from fog computing platform. We consider a fog computing platform containing a group of fog nodes. The platform is composed of three main entities, i.e., the fog computing provider, attacker, and cyber-insurer. The fog computing provider dynamically optimizes the allocation of its defense computing resources to improve the security of the fog computing platform. Meanwhile, the attacker dynamically adjusts the allocation of its attack resources to improve the probability of successful attack. Additionally, to prevent from the potential loss due to attacks, the provider also makes a dynamic decision on the purchases ratio of cyber-insurance from the cyber-insurer for each fog node. Thereafter, the cyber-insurer accordingly determines the premium of cyber-insurance for each fog node. In our formulated dynamic Stackelberg game, the attacker and provider act as the followers, and the cyber-insurer acts as the leader. In the lower level, we formulate an evolutionary subgame to analyze the provider's defense and cyber-insurance subscription strategies as well as the attacker's attack strategy. In the upper level, the cyber-insurer optimizes its premium determination strategy, taking into account the evolutionary equilibrium at the lower-level evolutionary subgame. We analytically prove that the evolutionary equilibrium is unique and stable. Moreover, we provide a series of insightful analytical and numerical results on the equilibrium of the dynamic Stackelberg game.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128379021","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: 8

Resource Negotiation Game for Cloud Networks with Limited Resources 有限资源下云网络的资源协商博弈

2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549557

A. H. A. Muktadir, M. Jibiki, P. Martinez-Julia, Ved P. Kafle

引用次数: 1

Intelligent Application Switch Supporting TCP 支持TCP协议的智能应用交换机

2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549392

Tomoaki Kanaya, A. Nakao, Shu Yamamoto, Hiroaki Yamauchi, Shinnosuke Nirasawa, M. Oguchi, Saneyasu Yamaguchi

引用次数: 5

A Search Method of Large-Scale Resources for Providing Efficient Computing on a Participating Fine-Granular Cloud Computing Platform 参与式细粒度云计算平台上提供高效计算的大规模资源搜索方法

2018 IEEE 7th International Conference on Cloud Networking (CloudNet) Pub Date : 2018-10-01 DOI: 10.1109/CloudNet.2018.8549206

Kento Nishii, Y. Tanigawa, H. Tode

引用次数: 0