Pekka Ruuska

TTCN-3 Language Characteristics in Producing Reusable Test Software

TTCN-3 is a new programming language, whichwas especially developed for testing. We analyzed how well the structure and the features of TTCN-3 conform to producing reusable test software. The analysis is mostly based on the conceptual model introduced in [1,2], the principles presented in [7,8,10] and our own understanding and experience of reusable software. Our conclusion is that TTCN-3 provides the basic language features for developing reusable test software. The modular structure of the language, its controlled and explicit interfaces promote reusability. Furthermore, the test specific characteristics of TTCN-3, which include its specific data types, expressions and test configurations, support reusability as well. When TTCN-3 is used in conformance testing of telecommunication protocols the reusability potential of TTCN-3 code is high. The more advanced reusability features that are required for object-oriented programming are not currently supported in TTCN-3.

5GTN: A test network for 5G application development and testing

The 5th generation mobile networks (5G) bring a number of new possibilities for application developers. They cut down many barriers that have potentially prevented developing new applications for mobile networks by introducing significantly higher data rates, lower delays, and better energy efficiency. 5G is not only an evolution of radio technology. The basis of the 5G concept is built upon a strong emphasis on requirements of various applications and their use scenarios. To support application development for 5G networks, test networks are playing an essential role. This paper presents a 5G test network, which is developed and deployed in Oulu, Finland, together with a number of different partners closely involved in the development and specification of the 5G technology. The test network targets to serve various application developers by providing extensive test facilities in a carrier-grade state-of-the-art network.

Supporting IP end-to-end QoS architectures at vertical handovers

IP end-to-end QoS mechanisms are quite important for users of real-time multimedia applications. Wireless access systems are widely used also with multimedia applications although the access networks may present heterogeneous technologies and diverse QoS mechanisms. Vertical seamless handover between different wireless systems is possible while the Internets QoS mechanisms are difficult to integrate into the handover procedures. ITEAs Easy Wireless project develops a new approach to end-to-end QoS in wireless heterogeneous networks. In this paper we discuss how the IP end-to-end QoS architectures can be supported when a seamless vertical handover is executed between different network systems. We focus on analyzing the latest standardized versions of the existing wireless 2/sup nd/ and 3/sup rd/ generation cellular systems together with WLAN or WMAN technologies. Differentiated Services and Integrated Services are compared and Differentiated Services is found to be more appropriate to support widely roaming users.

Modelling Of Photovoltaic Energy Generation Systems.

We present the development of a dynamic software simulation environment for modelling small and large scale photovoltaic (PV) energy generation systems. The model elements of solar panels, Maximum Power Point Trackers (MPPT) and solar inverters were integrated to a simulator system providing weather and power grid models as well as simulation of combustion power plants. The integrated system enables accurate dynamic simulation of complicated energy processes that utilize a variety of technologies. We tested our model against a large scale solar photovoltaic plant that produces energy to the power grid. The first test runs proved that the implemented models predict the produced energy adequately under constant irradiation.

Micro-Segmenting 5G.

The forthcoming 5G mobile networks shall be heterogeneous in nature and embody a large number and variety of devices. Moreover, Internet of Things applications – like surveillance and maintenance – will use 5G extensively due to its high availability and quality of connectivity. However, the heterogeneous services, applications, users, devices, and the large amount of network traffic will bring challenges for the security of the mobile network. It will be important to provide isolated segments from the network for applications that require a high level of security. This paper presents the potential of micro-segmenting 5G networks. Microsegmentation is a concept that has been considered in data center networking to enforce the security of a data center by monitoring the flows inside the data center. In this paper we describe how the micro-segmentation concept could fit into the 5G security architecture and provide scenarios of how software mobile networks can facilitate securing IoT.

Security Awareness in Software-Defined Multi-Domain 5G Networks

Fifth generation (5G) technologies will boost the capacity and ease the management of mobile networks. Emerging virtualization and softwarization technologies enable more flexible customization of network services and facilitate cooperation between different actors. However, solutions are needed to enable users, operators, and service providers to gain an up-to-date awareness of the security and trustworthiness of 5G systems. We describe a novel framework and enablers for security monitoring, inferencing, and trust measuring. The framework leverages software-defined networking and big data technologies to customize monitoring for different applications. We present an approach for sharing security measurements across administrative domains. We describe scenarios where the correlation of multi-domain information improves the accuracy of security measures with respect to two threats: end-user location tracking and Internet of things (IoT) authentication storms. We explore the security characteristics of data flows in software networks dedicated to different applications with a mobile network testbed.

Enhancing Energy Management Of A Car Manufacturing Plant Through Modelling And Dynamic Simulation.

Car manufacturing is a significant energy consumer and it is a common practice to co-produce electricity and heat on-site. Despite of the research and development already conducted in the area, many opportunities for reducing energy use exist. By developing an intelligent Energy Management System which utilizes precise monitoring of the energy production and consumption as well as predictive optimization, remarkable savings can be achieved. Fast and appropriately accurate prediction models are needed for the optimization of the energy production and consumption. This paper presents a method for developing such prediction models through the following two steps: i) detailed dynamic first principle models are developed, ii) the detailed models are used to identify and parametrise on-line prediction models. The methodology and its application to a car factory are presented.