使用国际数据空间的云连接物联网中的主权数据交换

Q1 Computer Science IEEE Cloud Computing Pub Date : 2021-10-01 DOI:10.1109/IEEECloudSummit52029.2021.00010
Haydar Qarawlus, Malte Hellmeier, Johannes Pieperbeck, Ronja Quensel, Steffen Biehs, Marc Peschke
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引用次数: 1

摘要

随着公司和国家之间数据交换的频率和敏感性的增加,数据主权变得越来越重要。确保业务生态系统中主权数据交换的现有方法,如国际数据空间(IDS)倡议,忽视了硬件资源限制的限制。因此,我们研究了云连接的物联网(IoT)设备中的实时主权数据交换。根据IDS指南,提出并实现了基于请求/响应和发布/订阅的两种轻量级通信方案。为了进行评估,我们使用了一个基于自动引导车辆(AGV)用例的模拟试验台。我们根据交换的IDS消息和作为物联网设备的agv所代表的消费者端的CPU使用情况来检查结果。结果显示发布/订阅版本在较长操作时间内的优势,允许进入低功耗模式,而请求/响应在有限的CPU资源或短操作上表现更好。
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Sovereign Data Exchange in Cloud-Connected IoT using International Data Spaces
Data sovereignty is gaining increasing importance as the frequency and sensitivity of data exchange between companies and nations increase. Existing approaches ensuring sovereign data exchange in business ecosystems, like the International Data Spaces (IDS) initiative, neglect limitations of hardware resource restrictions. Therefore, we examine real-time sovereign data exchange in cloud-connected Internet of Things (IoT) devices. Two lightweight communication schemes based on request/response and publish/subscribe are proposed and implemented following the IDS guidelines. For evaluation, we use a simulated test-bed based on an Automated Guided Vehicle (AGV) use case. We examine the results based on exchanged IDS messages and CPU usage on the consumer side represented by the AGVs as IoT devices. Results show benefits in the publish/subscribe version in longer operation times, allowing to enter low-power mode, while request/response performs better on limited CPU resources or short operations.
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来源期刊
IEEE Cloud Computing
IEEE Cloud Computing Computer Science-Computer Networks and Communications
CiteScore
11.20
自引率
0.00%
发文量
0
期刊介绍: Cessation. IEEE Cloud Computing is committed to the timely publication of peer-reviewed articles that provide innovative research ideas, applications results, and case studies in all areas of cloud computing. Topics relating to novel theory, algorithms, performance analyses and applications of techniques are covered. More specifically: Cloud software, Cloud security, Trade-offs between privacy and utility of cloud, Cloud in the business environment, Cloud economics, Cloud governance, Migrating to the cloud, Cloud standards, Development tools, Backup and recovery, Interoperability, Applications management, Data analytics, Communications protocols, Mobile cloud, Private clouds, Liability issues for data loss on clouds, Data integration, Big data, Cloud education, Cloud skill sets, Cloud energy consumption, The architecture of cloud computing, Applications in commerce, education, and industry, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Business Process as a Service (BPaaS)
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