Since most real-time audio and video applications lack of QoS support, QoS demand of such IP data streams shall be detected and applied automatically. To support QoS in LANs, especially in home environments, a system was developed, which enables self-organised QoS for unmanaged networks through host implementations -in contrast to traditional solutions without network support. It supports per-link reservation and prioritisation and works without a need for application support. One part of this system is an automated traffic identification and classification system, which is subject of this paper. An efficient set of attribute meters, based on the Statistical Protocol IDentification (SPID), was investigated, enhanced and evaluated. We improved the performance, added support for UDP protocols and real-time identification. It is shown that using our implementation efficient near real-time protocol identification on per-flow basis is possible to support self-organised resource reservation.

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The high increase of bandwidth-intensive applications like high definition video streaming in home and small office environments leads to QoS challenges in hybrid wired/wireless local area networks. These networks are often not QoS aware and may contain bottlenecks in their topology. In addition, they often have a hybrid nature due to the used access technology consisting of, for example, Ethernet, wireless, and PowerLAN links. In this paper, we present the research work on a novel autonomous system for hybrid QoS in local area networks, called QoSiLAN, which does not rely on network infrastructure support but on host cooperation and works independently of the access technology. We present a new QoS Signalling Protocol, policing and admission control algorithms, and a new lightweight statistical bandwidth prediction algorithm for autonomous resource management in LANs. This new QoS framework enables link based, access-medium independent bandwidth management without network support. We provide evaluation results for the novel bandwidth prediction algorithm as well as for the QoSiLAN framework and its protocol, which highlight the features, robustness, and the effectiveness of the proposed system.

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MQTT (Message Queuing Telemetry Transport) is known as a quasi-standard for IoT application communication between IoT devices and OPC UA (Open Platform Communication Unified Architecture) is the de facto standard that enables M2M communication in modern industry 4.0. But there are also industrial machines that still use RESTful (Representational State Transfer) APIs as their only communication interface. Integrating machines with these three protocols into automated manufacturing processes and enact a machine to machine communication between them can be challenging. This paper demonstrates how a M2M communication supporting HTTP, MQTT and OPC UA can be implemented using MQTT as the communication protocol. Furthermore, the goal is to create a model for each bridge that can be used to create interface mappings from MQTT to HTTP or from MQTT to OPC UA. This model can then easily be used to generate MQTT clients that bridge the different protocols and enable the M2M communication between machines to share their information.