M4IoT 2018 - 5th International Workshop on Middleware and Applications for the Internet of Things

The Internet of Things (IoT) is creating new services and applications across various domains, including smart electricity grids, intelligent transportation, healthcare, smart homes, and energy management. As a consequence, a complex ecosystem of interconnected applications, services, and physical and virtual devices, characterized by a high degree of heterogeneity, emerges. Such heterogeneity can be addressed by middleware platforms to abstract away the specificities of these devices, promote interoperability among them, and leverage the development of services and applications. In this ecosystem, enabled by middleware, devices share contextual data or receive control commands; services consume, process, and/or provide data; and applications leverage services and devices to fulfill users’ needs.
This workshop focuses on two fundamental components in such ecosystems, namely (i) the middleware to compose applications, services, and devices and (ii) the applications built on top of such middleware. Central topics of interest include the architecture of these components, how they process data, how they communicate with each other, and the process of how they are designed, implemented, and operated.
Specific topics of interest include, but are not limited to:
Abstractions and API composition for IoT applications
Design and specify views, abstractions and APIs for IoT applications, sensors and devices
Middleware concepts enabling end users to interconnect devices and applications (e.g., via APIs)
Architectural concerns for building IoT applications
Integration of IoT devices and cloud resources as well as ensuing interaction patterns
Composition and interoperability of IoT services
Software engineering for IoT applications
Development methodologies, tools, and experience
Speed of prototyping and ease of deployment of user-programmable content
Services and infrastructure for IoT applications
Services on the cloud and the edge for the IoT
Data management for the IoT
Design of IoT platforms and experience of using IoT platforms (e.g., FIWARE)
Distribution of services and applications over sensors, mobile devices, edge, fog, and cloud resources
Semantic web services for the IoT
Discovery and capability matching services
Simulated IoT infrastructure and testbeds
Processing paradigms and services
Stream processing and distributed event-based systems
Complex event processing for the IoT
Intelligent data transformation services
Quality aspects
Security and privacy
Quality of context capabilities
Access control, especially in systems spanning multiple administrative domains
System-wide quality concerns such as performance, availability, and fault-tolerance