The Internet of Things (IoT) and related future networking concepts promise the ubiquitous availability of data. Applications will be able to aggregate and evaluate large sets of data and provide highly flexible context-aware services. On the large scale, this type of service-oriented interaction will form a new type of emergent behavior.

The first part of the story has already become reality. Sensors, aggregating current values as well as historical data, emerge wildly around us in terms of computational capacity and data quantity. But did we already achieve the goals from an application and coordination point of view? Traditional system solutions simply use fixed firmware, whose data and control flows are statically configured. The IoT devices transmit their data periodically or event-driven to a database, that serves the requests of the applications. With embedded systems, this is made even more difficult by the fact that a statically linked firmware is used, so that the chance to receive function and security updates is low. It will no longer be valuable to restrict IoT systems to such static behavior, thus new methods, models, and algorithms are necessary in order to ensure functionality, resiliency, and security.

The workshop addresses current research related to the implementation and realization of future IoT applications and systems. Particular focus is put on concepts, tools, and the toolchain, that is required for this endeavor. Furthermore, flexible right management, capability and performance profiles, and request evaluation for dynamically composed IoT settings will be targeted. We want to discuss how to realize abstract representations of these aspects in order to automatically react to adapted requests, changed network configurations, or system states.

Topics
Networking concepts for IoT (B5G / 6G Upper Layer Concepts)
Operating systems / Runtime environments / Virtual machine concepts
Service description / Support for service migration in IoT
Online verification and validation for resilience and secure services
Machine learning for resilient IoT
Software patterns for IoT systems and applications
DevOps, tools, and toolchains for IoT system development