2020 Seventh International Conference on Software Defined Systems (SDS)最新文献

Development of OpenFlow Native Capabilities to optimize QoS 开发OpenFlow原生功能以优化QoS

2020 Seventh International Conference on Software Defined Systems (SDS) Pub Date : 2020-04-01 DOI: 10.1109/SDS49854.2020.9143890

M. Breiki, Suiping Zhou, Y. Luo

引用次数: 4

Blockchain-Based Solution to Prevent Plastic Pipes Fraud* 基于区块链的解决方案防止塑料管道欺诈*

2020 Seventh International Conference on Software Defined Systems (SDS) Pub Date : 2020-04-01 DOI: 10.1109/SDS49854.2020.9143879

P. Kostyuk, S. Kudryashov, Y. Madhwal, I. Maslov, V. Tkachenko, Y. Yanovich

引用次数: 8

Using Blockchain Technology for Continuing Medical Education Credits System 区块链技术在继续医学教育学分体系中的应用

2020 Seventh International Conference on Software Defined Systems (SDS) Pub Date : 2020-04-01 DOI: 10.1109/SDS49854.2020.9143876

Jash Rathod, Ashutosh Gupta, Dhiren R. Patel

引用次数: 3

Keynote speech 1: 5G and the Wireless Road Ahead 主题演讲1:5G与未来无线之路

2020 Seventh International Conference on Software Defined Systems (SDS) Pub Date : 2020-04-01 DOI: 10.1109/sds49854.2020.9143972

引用次数: 0

A Parameter Selection Process by Data Analysis for Tuning Multi-threaded Time-Stepping Algorithms 基于数据分析的多线程时间步进算法参数选择过程

2020 Seventh International Conference on Software Defined Systems (SDS) Pub Date : 2020-04-01 DOI: 10.1109/SDS49854.2020.9143911

T. Rauber, G. Rünger

{"title":"A Parameter Selection Process by Data Analysis for Tuning Multi-threaded Time-Stepping Algorithms","authors":"T. Rauber, G. Rünger","doi":"10.1109/SDS49854.2020.9143911","DOIUrl":"https://doi.org/10.1109/SDS49854.2020.9143911","url":null,"abstract":"Many applications from science and engineering can be simulated by time-stepping algorithms. Due to a possibly large number of simulation time steps and an expensive loop body in each time step, the execution of such algorithms can be quite time consuming and may also require a high amount of energy and power for the computation. Execution time, energy, and power can vary for varying application specific and architecture specific parameters. Also, the lowest execution time does not necessarily leads to a low power consumption or energy consumption. In this article, we are concerned with the selection of specific parameter values which lead to a low time and/or energy and/or power consumption. Specifically, we propose an energy-aware parameter selection process that is the basis for a software-defined support of an energy and power efficient execution. The process includes a data gathering phase, a parameter selection phase based on the data sets and a parameter adaption phase at run-time combining data tabulation and data monitoring. A multi-threaded scientific algorithm solving a partial differential equation is chosen as an illustrating example.","PeriodicalId":423149,"journal":{"name":"2020 Seventh International Conference on Software Defined Systems (SDS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123634627","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

5G Radio Access Network Slicing in Massive MIMO Systems for Industrial Applications 面向工业应用的大规模MIMO系统中的5G无线接入网络切片

2020 Seventh International Conference on Software Defined Systems (SDS) Pub Date : 2020-04-01 DOI: 10.1109/SDS49854.2020.9143906

Haorui Peng, Emma Fitzgerald, William Tärneberg, M. Kihl

引用次数: 0

An Efficient Cold Start Solution for Recommender Systems Based on Machine Learning and User Interests 基于机器学习和用户兴趣的推荐系统高效冷启动解决方案

2020 Seventh International Conference on Software Defined Systems (SDS) Pub Date : 2020-04-01 DOI: 10.1109/SDS49854.2020.9143953

Bilal Hawashin, Shadi Alzu'bi, Ala Mughaid, F. Fotouhi, A. Abusukhon

引用次数: 13

Using Digital Twin Data for the Attribute-Based Usage Control of Value-Added Networks 基于数字孪生数据的增值网络属性使用控制

2020 Seventh International Conference on Software Defined Systems (SDS) Pub Date : 2020-04-01 DOI: 10.1109/SDS49854.2020.9143921

Alexander Kern, R. Anderl

{"title":"Using Digital Twin Data for the Attribute-Based Usage Control of Value-Added Networks","authors":"Alexander Kern, R. Anderl","doi":"10.1109/SDS49854.2020.9143921","DOIUrl":"https://doi.org/10.1109/SDS49854.2020.9143921","url":null,"abstract":"The great progress in the field of digitization and networking of the industry brings many advantages as well as new challenges. On the one hand, it enables new business models that hold great economic growth potential. On the other hand, it leads to an increased heterogeneity of the resulting value- added networks. This poses a striking problem when it comes to the interconnection of industrial devices and the establishment of new business models. Since the disadvantages can quickly outweigh the advantages, activities in this area proceed still very cautiously. A solution is offered by highly dynamic attribute-based usage control architectures at network-level, which monitor the entire communication in the value-added networks. Previous approaches, however, either have the disadvantage that they can only use communication metadata as attributes, or are highly specialized and tailored to the respective systems of the individual network nodes. In addition, they are usually pure access control systems instead of usage control systems. In this paper, the authors propose a novel attribute-based usage control model (ABUC) that allows simulation models in form of digital twins of the respective network components to be used in order to predict their behavior and thus control network traffic according to predicted usage. The ABUC model is then implemented in a use case and validated with several performance tests.","PeriodicalId":423149,"journal":{"name":"2020 Seventh International Conference on Software Defined Systems (SDS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133755479","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

Securing Car Data and Analytics using Blockchain 使用区块链保护汽车数据和分析

2020 Seventh International Conference on Software Defined Systems (SDS) Pub Date : 2020-04-01 DOI: 10.1109/SDS49854.2020.9143914

G. Saldamli, K. Karunakaran, V. K. Vijaykumar, Weiyang Pan, Siddesh Puttarevaiah, L. Ertaul

{"title":"Securing Car Data and Analytics using Blockchain","authors":"G. Saldamli, K. Karunakaran, V. K. Vijaykumar, Weiyang Pan, Siddesh Puttarevaiah, L. Ertaul","doi":"10.1109/SDS49854.2020.9143914","DOIUrl":"https://doi.org/10.1109/SDS49854.2020.9143914","url":null,"abstract":"Automakers in collaboration with technology industries are swiftly innovating and transforming the automobile industry. The current trend of connected cars relies on retrieving various kinds of vehicular data since there is a huge demand from associated entities included insurance companies, vehicle buyers/sellers and government authorities. Currently, the data collection is done either manual or unsupervised that poses trust, legitimacy and accuracy issues such as duplicated or falsified vehicular data records, tampered safety checks and meddled driving history, etc. Hence, a strong tool that can protect the vehicular data; log the changes for audit purposes and eventually build the trust in the system is necessary. We propose the use of blockchain technology for these needs. The proposed solution involves connecting an IoT module to a car data port to collect rich telemetric data; analyze the driving behaviors on various fronts and storing the outcomes to a blockchain. For various good reasons we use the Ethereum blockchain in this study. However, other blockchain deployments can also be utilized. If adopted by the stakeholders, the proposed solution can provide a trusted, transparent and easily accessible platform to auto buyers/sellers, insurance agencies, vehicle dealers, law enforcements and vehicle history providers.","PeriodicalId":423149,"journal":{"name":"2020 Seventh International Conference on Software Defined Systems (SDS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127875439","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

Mobile Encounter-based Social Sybil Control 基于手机遭遇的社交游戏控制

2020 Seventh International Conference on Software Defined Systems (SDS) Pub Date : 2020-04-01 DOI: 10.1109/SDS49854.2020.9143886

Martin Martinez, Arvin Hekmati, B. Krishnamachari, Seokgu Yun

引用次数: 4