The Internet of Things (IoT) includes billions of heterogeneous, distributed, and intelligent things –both from the digital and the physical worlds– running applications and services from the Internet of Services (IoS). Things span, for instance, RFID tags, sensors, computers, plants, lamps, autonomous robots, and self-driving vehicles. Often, things are connected through heterogeneous platforms also providing support for, e.g., data collection, management, and applications deployment. Additionally, things can offer their functionalities as (web) services facilitating their dynamic interaction.
A key aspect of engineering IoT systems is their architecture and a wide range of challenges needs to be addressed both at design and run-time. For instance: heterogeneity, adaptability, reusability, interoperability, uncertainty, security, and privacy while also taking into account the human in the loop bringing needs on the systems’ functionalities and qualities. Novel software architecture principles are needed to overcome these challenges for IoT systems.
The objective of IoT-ASAP, International Workshop on Engineering IoT Systems: Architectures, Services, Applications, and Platforms, is to bring together researchers and practitioners from several areas (e.g., Architecture, Internet of Things (IoT), Service-Oriented Computing, Self-Adaptive Systems, Multi-Agent Systems, User Interaction and Experience) to investigate and discuss state of-the-art, principles, challenges of, and (interdisciplinary) approaches for, engineering IoT systems.
Design approaches for IoT systems
Architectural interoperability in IoT systems
Quality aspects in the IoT (e.g., runtime dependability, assurances, validation, verification, privacy, security)
Self-adaptation and context-awareness in the IoT
User requirements specification and engineering for smart user-interactions in the IoT
Discovery, composition and analysis of (intelligent) services and applications
Engineering for emergent behavior/properties in the IoT
(Continuous) deployment, composition, and monitoring in the IoT
Autonomous agents and multi-agent IoT architectures, e.g., collaboration, coordination, reasoning, collective intelligence
Model-driven engineering for IoT systems
Frameworks and middleware for the IoT
Cloud computing for the IoT
State-of-practice, experience reports, industrial experiments, and case studies in the IoT
Simulation techniques and tools for the IoT
Inter-disciplinary approaches for building and adapting IoT systems
Formal methods for IoT systems
Application areas include - but are not limited to:
Smart Cities
Smart Living, Smart Health, Smart Learning
Smart Transportation
Smart Energy
Industry 4.0
Consumer Electronics
System of IoT Systems
On-The-Fly Computing
04月04日
2017
会议日期
初稿截稿日期
注册截止日期
2018年05月01日 美国
第二届工程物联网系统国际研讨会
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