29,205 research outputs found

    Knowledge Flows through Informal Contacts in Industrial Clusters Myths or Realities?

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    The role of informal networks in the development of regional clusters has received a lot of attention in the literature recently. Informal contact between employees in different firms is argued to be one of the main carriers of knowledge between firms in a cluster. This paper empirically examines the role of informal contacts in a specific cluster. In a recent questionnaire, we ask a sample of engineers in a regional cluster of wireless communication firms in Northern Denmark, a series of questions on informal networks. We analyze whether the engineers actually acquire valuable knowledge through these networks. We find that the engineers do share even valuable knowledge with informal contacts. This shows that informal contacts are important channels of knowledge diffusion.Informal contacts, regional clusters, communication technology

    Microservices Architecture Enables DevOps: an Experience Report on Migration to a Cloud-Native Architecture

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    This article reports on experiences and lessons learned during incremental migration and architectural refactoring of a commercial mobile back end as a service to microservices architecture. It explains how the researchers adopted DevOps and how this facilitated a smooth migration

    MAGDA: A Mobile Agent based Grid Architecture

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    Mobile agents mean both a technology and a programming paradigm. They allow for a flexible approach which can alleviate a number of issues present in distributed and Grid-based systems, by means of features such as migration, cloning, messaging and other provided mechanisms. In this paper we describe an architecture (MAGDA – Mobile Agent based Grid Architecture) we have designed and we are currently developing to support programming and execution of mobile agent based application upon Grid systems

    Global Strategy and the Acquisition of Local Knowledge How MNCs Enter Regional Knowledge Clusters

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    The paper addresses two recent interrelated phenomena: High- tech regional knowledge clusters, and globalization of R&D activities by multinational corporations (MNCs). Combining MNC literature; regional development literature; and literature on social networks, the paper discusses determinants of entry modes used by MNCs that localize R&D units in regional knowledge clusters. The paper states that the entry mode used by a MNC depends upon the type of agglomeration economies the latter seeks to appropriate: Those related to network relations; to local labor market specialization; or to institutional specialization. The paper adds theoretical insight into advantages and disadvantages of different entry modes with respect to appropriation of agglomeration economies, and special attention is dedicated to discussing acquisition. Through the use of an empirical case ¾ the entry of five MNCs into the Danish telecommunications cluster in Aalborg, the paper exemplifies its theoretical observations, but also points to how the evolution of a knowledge cluster may be severely affected by MNCs that enter through acquisition.MNCs; entry mode; acquisition; explorative R&D; regional clusters; localized learning; networks; telecommunications industry; North Jutland; Denmark.

    Contributions to Edge Computing

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    Efforts related to Internet of Things (IoT), Cyber-Physical Systems (CPS), Machine to Machine (M2M) technologies, Industrial Internet, and Smart Cities aim to improve society through the coordination of distributed devices and analysis of resulting data. By the year 2020 there will be an estimated 50 billion network connected devices globally and 43 trillion gigabytes of electronic data. Current practices of moving data directly from end-devices to remote and potentially distant cloud computing services will not be sufficient to manage future device and data growth. Edge Computing is the migration of computational functionality to sources of data generation. The importance of edge computing increases with the size and complexity of devices and resulting data. In addition, the coordination of global edge-to-edge communications, shared resources, high-level application scheduling, monitoring, measurement, and Quality of Service (QoS) enforcement will be critical to address the rapid growth of connected devices and associated data. We present a new distributed agent-based framework designed to address the challenges of edge computing. This actor-model framework implementation is designed to manage large numbers of geographically distributed services, comprised from heterogeneous resources and communication protocols, in support of low-latency real-time streaming applications. As part of this framework, an application description language was developed and implemented. Using the application description language a number of high-order management modules were implemented including solutions for resource and workload comparison, performance observation, scheduling, and provisioning. A number of hypothetical and real-world use cases are described to support the framework implementation

    Collaborative signal and information processing for target detection with heterogeneous sensor networks

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    In this paper, an approach for target detection and acquisition with heterogeneous sensor networks through strategic resource allocation and coordination is presented. Based on sensor management and collaborative signal and information processing, low-capacity low-cost sensors are strategically deployed to guide and cue scarce high performance sensors in the network to improve the data quality, with which the mission is eventually completed more efficiently with lower cost. We focus on the problem of designing such a network system in which issues of resource selection and allocation, system behaviour and capacity, target behaviour and patterns, the environment, and multiple constraints such as the cost must be addressed simultaneously. Simulation results offer significant insight into sensor selection and network operation, and demonstrate the great benefits introduced by guided search in an application of hunting down and capturing hostile vehicles on the battlefield

    Redesigning work organizations and technologies: experiences from European projects

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    Currently distributed business process (re) design (resulting in components of business networks) basically relies on technical criteria. And that are the main purposes of most research projects supported by EC. Through the process of building a European Research Area, this means a strong influence in the national research programmes. However it is generally accepted that it should also take into account social criteria and aspects such as the quality of working life, or participation in decision processes. Those were some of the objectives of projects in de 80s decade, and framed some of the main concepts and scientific approaches to work organisation. The democratic participation of network and organisations members in the design process is a critical success factor. This is not accepted by everyone, but is based in sufficient case studies. Nevertheless, in order to achieve an optimization that can satisfying the requirements of agility of a network of enterprises, more complex design methods must be developed. Thus, the support to the collaborative design of distributed work in a network of enterprises, through a concurrent approaching business processes, work organisation and task content is a key factor to achieve such purposes. Increasing needs in terms of amounts of information, agility, and support for collaboration without time and space constrains, imposes the use of a computer-based model.business process; networks; decision processes; collaborative design;
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