2019 IEEE 8th International Conference on Cloud Networking (CloudNet)最新文献_第3页

A Case for Data Centre Traffic Management on Software Programmable Ethernet Switches 基于软件可编程以太网交换机的数据中心流量管理案例

2019 IEEE 8th International Conference on Cloud Networking (CloudNet) Pub Date : 2019-11-01 DOI: 10.1109/CloudNet47604.2019.9064114

Kamil Tokmakov, M. Sarker, Jörg Domaschka, S. Wesner

引用次数: 5

Secure File Storage for Android Devices on Public Clouds Android设备在公有云上的安全文件存储

2019 IEEE 8th International Conference on Cloud Networking (CloudNet) Pub Date : 2019-11-01 DOI: 10.1109/CloudNet47604.2019.9064144

P. Ribeiro, R. Prior, S. Crisóstomo

引用次数: 0

Blockchain provisioning over private cloud computing environments: Availability modeling and cost requirements 私有云计算环境下的区块链供应:可用性建模和成本需求

2019 IEEE 8th International Conference on Cloud Networking (CloudNet) Pub Date : 2019-11-01 DOI: 10.1109/CloudNet47604.2019.9064125

Carlos Melo, J. Dantas, Ronierison Maciel, Paulo Pereira, Eder Quesado, P. Maciel

引用次数: 2

Building Dynamic Mapping with CUPS for Next Generation Automotive Edge Computing 利用CUPS为下一代汽车边缘计算构建动态映射

2019 IEEE 8th International Conference on Cloud Networking (CloudNet) Pub Date : 2019-11-01 DOI: 10.1109/CloudNet47604.2019.9064135

Zhaoxia Sun, P. Du, A. Nakao, L. Zhong, R. Onishi

{"title":"Building Dynamic Mapping with CUPS for Next Generation Automotive Edge Computing","authors":"Zhaoxia Sun, P. Du, A. Nakao, L. Zhong, R. Onishi","doi":"10.1109/CloudNet47604.2019.9064135","DOIUrl":"https://doi.org/10.1109/CloudNet47604.2019.9064135","url":null,"abstract":"With the development of IoT and 5G networks, the demand for the next-generation intelligent transportation system has been growing at a rapid pace. Dynamic mapping has been considered one of the key technologies to reduce traffic accidents and congestion in the intelligent transportation system. However, as the number of vehicles keeps growing, a huge volume of mapping traffic may overload the central cloud, leading to serious performance degradation. In this paper, we propose and prototype a CUPS (control and user plane separation)-based edge computing architecture for the dynamic mapping and quantify its benefits by prototyping. There are a couple of merits of our proposal: (i) we can mitigate the overhead of the networks and central cloud because we only need to abstract and send global dynamic mapping information from the edge servers to the central cloud; (ii) we can reduce the response latency since the dynamic mapping traffic can be isolated from other data traffic by being generated and distributed from a local edge server that is deployed closer to the vehicles than the central server in cloud. The capabilities of our system have been quantified. The experimental results have shown our system achieves throughput improvement by more than four times, and response latency reduction by 67.8% compared to the conventional central cloud-based approach. Although these results are still obtained from the preliminary evaluations using our prototype system, we believe that our proposed architecture gives insight into how we utilize CUPS and edge computing to enable efficient dynamic mapping applications.","PeriodicalId":340890,"journal":{"name":"2019 IEEE 8th International Conference on Cloud Networking (CloudNet)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130815516","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: 5

Selectivity and Autoscaling as Complementary Defenses for DDoS Protection to Cloud Services 选择性和自动扩展作为云服务DDoS防护的补充防御

2019 IEEE 8th International Conference on Cloud Networking (CloudNet) Pub Date : 2019-11-01 DOI: 10.1109/CloudNet47604.2019.9064139

J. H. Corrêa, Epaminondas A. Sousa Junior, I. Fonseca, Vivek Nigam, M. Ribeiro, R. Villaça

引用次数: 4

Optimizing 5G Networks Processes With Software Defined Networks 利用软件定义网络优化5G网络流程

2019 IEEE 8th International Conference on Cloud Networking (CloudNet) Pub Date : 2019-11-01 DOI: 10.1109/CloudNet47604.2019.9064067

Geymerson S. Ramos, Rian G. S. Pinheiro, Andre L. L. Aquino

引用次数: 2

Hybrid IP/SDN Routing for Inter-Data Center Communications 数据中心间通信的混合IP/SDN路由

2019 IEEE 8th International Conference on Cloud Networking (CloudNet) Pub Date : 2019-11-01 DOI: 10.1109/CloudNet47604.2019.9064118

Vítor Pereira, Miguel Rocha, Pedro Sousa

引用次数: 0

Minimizing state access delay for cloud-native network functions 最小化云原生网络功能的状态访问延迟

2019 IEEE 8th International Conference on Cloud Networking (CloudNet) Pub Date : 2019-11-01 DOI: 10.1109/CloudNet47604.2019.9064048

Márk Szalay, P. Mátray, László Toka

{"title":"Minimizing state access delay for cloud-native network functions","authors":"Márk Szalay, P. Mátray, László Toka","doi":"10.1109/CloudNet47604.2019.9064048","DOIUrl":"https://doi.org/10.1109/CloudNet47604.2019.9064048","url":null,"abstract":"In the era of cloud services, there is a strong desire to improve the elasticity and reliability of applications in the cloud. The standard way of achieving these goals is to decouple the life-cycle of important application states from the life-cycle of individual application instances: states, and data in general, are written to and read from cloud databases, deployed close to the application code. The high performance requirements on the application impose strict latency limits on these storage solutions for state access. Cloud database instances are therefore distributed on multiple hosts in order to strive to ensure data locality for all functions. However, the shared nature of certain states, and the inevitable dynamics of the application workload necessarily lead to inter-host data access within the data center (or even across data centers, if the application requires a multi-data center setup). In order to minimize the inter-host communication due to state externalization, we propose an advanced cloud scheduling algorithm that places functions' states across the hosts of a data center. We create a model for the state placement with the aim of minimizing state access latency, and we prove that it is a complex problem. We therefore propose heuristics for fast and efficient placement methods and we evaluate those across realistic scenarios. We show that our approximations are close to the optimal placement, and in large-scale settings the algorithms take only a few minutes to yield good placement results.","PeriodicalId":340890,"journal":{"name":"2019 IEEE 8th International Conference on Cloud Networking (CloudNet)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116324504","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

Continuous and Adaptive Learning over Big Streaming Data for Network Security 面向网络安全的大流数据持续自适应学习

2019 IEEE 8th International Conference on Cloud Networking (CloudNet) Pub Date : 2019-11-01 DOI: 10.1109/CloudNet47604.2019.9064134

Pavol Mulinka, P. Casas, J. Vanerio

引用次数: 3

Dynamic Sketch: Efficient and Adjustable Heavy Hitter Detection for Software Packet Processing 动态素描:有效和可调的重打检测软件包处理

2019 IEEE 8th International Conference on Cloud Networking (CloudNet) Pub Date : 2019-11-01 DOI: 10.1109/CloudNet47604.2019.9064148

Yipeng Wang, Tong Yang, Ren Wang, T. Tai

{"title":"Dynamic Sketch: Efficient and Adjustable Heavy Hitter Detection for Software Packet Processing","authors":"Yipeng Wang, Tong Yang, Ren Wang, T. Tai","doi":"10.1109/CloudNet47604.2019.9064148","DOIUrl":"https://doi.org/10.1109/CloudNet47604.2019.9064148","url":null,"abstract":"Heavy hitter detection is a key task for networking traffic profiling, which can be used for various purposes such as Denial of Service (DoS) attack detection, Quality of Service (QoS) scheduling, load balancing, and flow size based routing, etc. Over the years, many efforts have been made on designing data structures and algorithms to achieve fast and memory-efficient inline profiling in cloud networks. Traditional heavy hitter detection methods, however, yield an innate and nonadjustable profiling accuracy (i.e., false positive or false negative) once the data structure is initialized. Users have no runtime feedback information nor control on the profiling accuracy, which could be an important factor for their usages. In this paper, we propose and evaluate a novel dynamic and memory-efficient heavy hitter detection algorithm, called Dynamic sketch. Dynamic sketch performs runtime accuracy monitoring and provides feedback to users via a sampling based method. It also self-adjusts the accuracy at runtime to satisfy the target given by the user. We implemented Dynamic sketch and our evaluations show that Dynamic sketch is able to report profiling accuracy with only a minimal 2% performance overhead. In addition, Dynamic sketch is 2.35 × faster than the state-of-the-art hash table based heavy hitter detector and achieves more than 2× memory efficiency than the state-of-the-art sketch based implementation.","PeriodicalId":340890,"journal":{"name":"2019 IEEE 8th International Conference on Cloud Networking (CloudNet)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115160981","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