2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)最新文献_第2页

Offloading Online MapReduce tasks with Stateful Programmable Data Planes 使用有状态可编程数据平面卸载在线MapReduce任务

2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) Pub Date : 2020-02-01 DOI: 10.1109/ICIN48450.2020.9059417

V. Bruschi, Marco Faltelli, Angelo Tulumello, S. Pontarelli, F. Quaglia, G. Bianchi

{"title":"Offloading Online MapReduce tasks with Stateful Programmable Data Planes","authors":"V. Bruschi, Marco Faltelli, Angelo Tulumello, S. Pontarelli, F. Quaglia, G. Bianchi","doi":"10.1109/ICIN48450.2020.9059417","DOIUrl":"https://doi.org/10.1109/ICIN48450.2020.9059417","url":null,"abstract":"In-network computation based on programmable data plane hardware provides a tremendous opportunity to improve throughput, latency and reduce congestion in data center scenarios. However, a judicious use of these network devices must be done based on their limited resources and the specific features of the application to be offloaded. This paper promotes FlowBlaze, a stateful hardware programmable data plane, as a candidate for offloading online MapReduce tasks. Above all, tasks with strict time requirements can benefit from in-network computing since it can significantly lower their latency. Given that MapReduce is a generic programming paradigm, in this paper we first try to identify which subset of MapReduce operations can be transparently offloaded to a specific hardware architecture and which are the limitations of this offloading in terms of memory and computational resources. After, we show how the FlowBlaze architecture can match the partition/aggregation paradigm and we discuss a set of primitives exposed by the FlowBlaze abstraction to perform mapping and aggregation. Finally, we prove the feasibility of this approach applying it to a click-stream analysis use case.","PeriodicalId":433278,"journal":{"name":"2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123145519","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

Interoperable and discrete eHealth Data Exchange between Hospital and Patient 医院和患者之间可互操作和离散的电子健康数据交换

2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) Pub Date : 2020-02-01 DOI: 10.1109/ICIN48450.2020.9059335

A. Corici, Olaf Rode, Ben Kraufmann, Andreas Billig, Jörg Caumanns, Markus Deglmann, Viktoria Walter, Janina Rexin, Gunther Nolte

引用次数: 3

A Blockchain-based Brokerage Platform for Fog Computing Resource Federation Blockchain-based经纪平台雾计算资源联盟

2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) Pub Date : 2020-02-01 DOI: 10.1109/ICIN48450.2020.9059337

Marco Savi, Daniele Santoro, K. D. Meo, Daniele Pizzolli, Miguel Pincheira, R. Giaffreda, Silvio Cretti, S. Kum, D. Siracusa

引用次数: 11

IoT Architecture Based on RINA 基于RINA的物联网架构

2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) Pub Date : 2020-02-01 DOI: 10.1109/ICIN48450.2020.9059367

Maryan Rizinski, J. Day, Lubomir T. Chitkushev

引用次数: 1

An Efficient Traffic Steering for Cloud-Native Service Function Chaining 一种高效的云原生业务功能链流量导向方法

2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) Pub Date : 2020-02-01 DOI: 10.1109/ICIN48450.2020.9059340

Boutheina Dab, Ilhem Fajjari, Mathieu Rohon, Cyril Auboin, Arnaud Diquélou

{"title":"An Efficient Traffic Steering for Cloud-Native Service Function Chaining","authors":"Boutheina Dab, Ilhem Fajjari, Mathieu Rohon, Cyril Auboin, Arnaud Diquélou","doi":"10.1109/ICIN48450.2020.9059340","DOIUrl":"https://doi.org/10.1109/ICIN48450.2020.9059340","url":null,"abstract":"Ahstract-5G stakeholders make every effort to efficiently handle the unprecedented services and traffic demand. Particularly, Telco operators aim to deploy a cost effective network services within their next generation mobile networks. By leveraging cloud-native architectures, the stringent 5G services requirements can be satisfied while reducing both CAPEX and OPEX. Concretely, the adoption of microservice software design enables the disaggregation of Telco applications into small independent cloud-native network functions. Theses microservices, deployed as containers, are lightweight and perform in an independent way. However, in spite of its various benefits, microservice architecture raises new challenges to deal with in the network function virtualization (NFV) ecosystem. Typically, the service function chaining (SFC) of cloud-native network functions becomes extremely complex and error-prone due to the high number of microservices. In this paper, we address the problem of 5G traffic steering for cloud-native SFC in microservice based NFV ecosystem. Specifically, we envision and deploy an SDNless SFC framework ensuring efficient traffic steering between cloud-native network functions. Besides, we propose an optimized network-aware load balancing algorithm capable of carrying efficiently the traffic while considering the underlying infrastructure network state. Based on robust experiments conducted in the deployed Kubernetes-based platform, the results show the efficiency of our strategy in terms of deployment time and network performance.","PeriodicalId":433278,"journal":{"name":"2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127973888","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: 9

ICIN 2020 - Technical Program Committee ICIN 2020 -技术计划委员会

2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) Pub Date : 2020-02-01 DOI: 10.1109/icin48450.2020.9059538

引用次数: 0

An Efficient Online Heuristic for Mobile Network Slice Embedding 一种高效的移动网络切片嵌入在线启发式算法

2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) Pub Date : 2020-02-01 DOI: 10.1109/ICIN48450.2020.9059440

Katja Ludwig, Andrea Fendt, B. Bauer

{"title":"An Efficient Online Heuristic for Mobile Network Slice Embedding","authors":"Katja Ludwig, Andrea Fendt, B. Bauer","doi":"10.1109/ICIN48450.2020.9059440","DOIUrl":"https://doi.org/10.1109/ICIN48450.2020.9059440","url":null,"abstract":"The fifth generation (5G) of mobile networks facilitates the management of various new use cases like autonomous driving, eHealth and the Internet of Things (IoT) along with dense sensor networks. Those use cases induce diverse requirements on the mobile network infrastructure. Network Slicing is one of the key features in 5G to address this issue. Network Slicing organizes the applications in network slices, whereby they are isolated, logical end-to-end networks for different use cases, sharing a common physical network infrastructure. They can be set up, changed and deactivated dynamically and in realtime. Therefore, efficient Network Slice Embedding algorithms are required for the assignment and allocation of network slice resources. In this paper, a novel, efficient approach for such an algorithm is proposed. It is a heuristic which meets the specific requirements of Network Slice Embedding, based on the algorithm provided by Cheng et al. In addition to their topology-aware node ranking algorithm, three alternative ranking techniques for the node mapping are introduced. The Network Slice Embedding heuristic and its ranking algorithms are evaluated on three generic blueprints of network slices and multiple mobile network sizes. The results show that the proposed heuristic is suitable for real-time embedding as it is robust, flexible and scalable and achieves high acceptance ratios.","PeriodicalId":433278,"journal":{"name":"2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127092059","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: 7

Enhancing the performance of 5G slicing operations via multi-tier orchestration 通过多层编排增强5G切片操作的性能

2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) Pub Date : 2020-02-01 DOI: 10.1109/ICIN48450.2020.9059546

Miquel Puig i Mena, Apostolos Papageorgiou, Leonardo Ochoa-Aday, S. Siddiqui, Gabriele Baldoni

{"title":"Enhancing the performance of 5G slicing operations via multi-tier orchestration","authors":"Miquel Puig i Mena, Apostolos Papageorgiou, Leonardo Ochoa-Aday, S. Siddiqui, Gabriele Baldoni","doi":"10.1109/ICIN48450.2020.9059546","DOIUrl":"https://doi.org/10.1109/ICIN48450.2020.9059546","url":null,"abstract":"End-to-end 5G network slicing that spans across diverse access and core networks, as well as cloud and edge infrastructure, promises to satisfy on-demand the requirements of different vertical applications in a fast and cost-efficient manner. However, in order to achieve this, slice management systems need to combine different types of orchestrators. The combined usage of such orchestrators can be performed in many ways and related studies of standardization bodies have led to various open issues. This paper presents a solution based on a multi-tier orchestrator which glues NFV, MEC, and Cloud-native orchestrators using API abstraction layers and inter-orchestrator coordination workflows, while revisiting some standardized directives for NFV-MEC integration. The multi-tier orchestrator is evaluated against standard approaches that are based on the aforementioned directives, showing performance enhancements of up to 13x in terms of CPU load of certain orchestrator hosts in scenarios where up to 15 services are instantiated concurrently in an integrated NFV-MEC environment.","PeriodicalId":433278,"journal":{"name":"2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125934840","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

5G E2E Network Slicing Management with ONAP 基于ONAP的5G端到端网络切片管理

2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) Pub Date : 2020-02-01 DOI: 10.1109/ICIN48450.2020.9059507

V. Q. Rodriguez, F. Guillemin, Amina Boubendir

引用次数: 23

Neural network based anomaly detection for SCADA systems 基于神经网络的SCADA系统异常检测

2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) Pub Date : 2020-02-01 DOI: 10.1109/ICIN48450.2020.9059436

Lenhard Reuter, O. Jung, Julian Magin

引用次数: 8