The Internet of Things has many facets and most of the time all application require tailored performance engineering schemes to work as expected and to provide an appropriate level of quality for different types of networks, applications and services. Especially if considering consumer, business or industrial applications, the differences regarding performance and reliability as part of that become obvious.
The innovations concerning communication technologies allows IoT to significantly increase the responsiveness and flexibility of any kind of components. But the research discussion on IoT lacks for integrated system architectures, protocols and algorithms, which are classified to work levels above IoT frameworks, as well as overlaying concepts and novel business models.
The provisioning of a certain level of performance according to the requirements of an entire context can hardly be accomplished in IoT networks, e. g. for Advanced Manufacturing, using traditional approaches because these do not account for the requirements introduced by the new dynamic networks, the number of nodes, and applications. Advanced Manufacturing is only one example for a new type of IoT network that has to face special requirements. Context-awareness is required in several types of networks and for different types of applications and services. All of these are different. E.g., the occurring network traffic in Wireless Mesh Sensor Networks cannot be compared to network traffic of molding machines or cars. Each of them have different constraints and demands that should be covered by a context-aware performance engineering.
This workshop, among other things, wants to bring together researchers to present and discuss novel approaches and solutions as well as recent results in this area of research.
Performance engineering for the Internet of Things
Industrial Internet of Things (IIoT) for Advanced Manufacturing
Performance engineering for Industry 4.0 requirements
SDN-based QoS Control
QoS for mission critical communications
Recognition of performance relevant context-patterns for general IoT application
Context-pattern transformation for performance engineering
Autonomous context-aware traffic classification
Context-aware mesh networking of very small communication components
Concepts for achieving transparency to co-existing network flows
Security and privacy in the context of IoT
Control protocols for distributed performance engineering
Performance-driven routing protocols and algorithms
Cross-platform performance control
Context-dependent energy management
Cognitive QoS patterns in multi-agent systems
Concepts and business models for context-aware performance engineering
Performance analysis of context-aware performance engineering
Real-Time systems for IoT-specific performance engineering
Context-aware transmit power control of IoT components
08月04日
2016
会议日期
注册截止日期
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