Modeling and Profiling of Aggregated Industrial Network Traffic

The industrial network infrastructures are transforming to a horizontal architecture to enable data availability for advanced applications and enhance flexibility for integrating new technologies. The uninterrupted operation of the legacy systems needs to be ensured by safeguarding their requirements in network configuration and resource management. Network traffic modeling is essential in understanding the ongoing communication for resource estimation and configuration management. The presented work proposes a two-step approach for modeling aggregated traffic classes of brownfield installation. It first detects the repeated work-cycles and then aims to identify the operational states to profile their characteristics. The performance and influence of the approach are evaluated and validated in two experimental setups with data collected from an industrial plant in operation. The comparative results show that the proposed method successfully captures the temporal and spatial dynamics of the network traffic for characterization of various communication states in the operational work-cycles.

A Survey on Efficient Secure Routing in Industrial Network for Improved QoS

The industrial units adapt different networks for the management of their units, processes and resources. The industrial sector uses different networks for their smooth functioning which would require accessing various network services by their users, employees and customers. However, the industrial networks arenot exemptions from network threats. Number of threats exist which challenge the functioning of industrial network like DDoS (Distributed Denial of Service), black hole, eavesdrop attack and so on. Most attacks focus towards degrading the QoS performance of industrial network. To handle this, different approaches are available in literature which works based on several features like traffic, hop count, payload, service frequency, retransmission frequency, node behaviors, and location of nodes and so on. Similarly, most threats occur over the routing procedure. Towards maximizing the QoS of industrial network, it is necessary to analyze various routing protocols and their way of handling different threats. This article analyzes various routing protocols and threats towards QoS of Industrial networks.

The role of openness in collaborative innovation in industrial networks: historical and contemporary cases

Purpose This paper aims to explore the role and meaning of openness for the purpose of enhancing the understanding of collaborative innovation from an industrial network perspective. Design/methodology/approach The theoretical framework is based on the Industrial Network Approach, and the concepts of activity links, resource ties and actor bonds are used as a starting point for capturing the content and dynamics of the interaction. The empirical part consists of five case studies: two historical and three contemporary cases dealing with collaborative innovation projects. The cases are analyzed with regard to openness in business relationships and their connections in the network. Findings The main contribution is a conceptualization of openness in business relationships and relationship connections. The paper describes various forms and contents of openness – and closeness. It is postulated that the concept of openness can be used as an analytical tool for digging deeper into relationship and network-related issues of relevance to firms’ behavior in the context of collaborative innovation. Openness, as it is defined in this paper, is also put forward as an explanation of why (or why not) collaborative innovation projects become successful. Originality/value The conceptualization of openness differs from openness as it is commonly described in the open innovation literature. There, openness is the opposite of closeness, that is, a pattern where the innovation activities take place internally within the company. In this paper, openness, instead, has to do with how firms interact with other network actors in the context of collaborative innovation.