Flexible programmable networking: A reflective, component-based approach

The need for programmability and adaptability in networking systems is becoming increasingly important. More specifically, the challenge is in the ability to add services rapidly, and be able to deploy, configure and reconfigure them as easily as possible. Such demand is creating a considerable shift in the way networks are expected to operate in the future. This is the main aim of programmable networking research community, and in our project we are investigating a component-based approach to the structuring of programmable networking software. Our intention is to apply the notion of components, component frameworks and reflection ubiquitously, thus accommodating all the different elements that comprise a programmable networking system

System Architecture Dynamics The case of Japanese Car Navigation Systems

This paper attempts to clarify how the integration of software and hardware is related to product systems and product development organization in the growing electronic equipment market in the IT age. As a framework for analyzing the effect of integration, we will examine the influence of software on product functions, product development organization and product innovation by introducing the concept of system architecture, which represents the nature of a system, and is defined as a combination of hardware and software. As a particular case, Japanese car navigation market is analyzed. Regarding system architecture, we discuss how both software and hardware have open architecture dynamics, how those dynamics have several trajectories, and have a major impact not only on cooperation between product development structure and external organization, but also on innovation.

Lifeworld Inc. : and what to do about it

Can we detect changes in the way that the world turns up as they turn up? This paper makes such an attempt. The first part of the paper argues that a wide-ranging change is occurring in the ontological preconditions of Euro-American cultures, based in reworking what and how an event is produced. Driven by the security – entertainment complex, the aim is to mass produce phenomenological encounter: Lifeworld Inc as I call it. Swimming in a sea of data, such an aim requires the construction of just enough authenticity over and over again. In the second part of the paper, I go on to argue that this new world requires a different kind of social science, one that is experimental in its orientation—just as Lifeworld Inc is—but with a mission to provoke awareness in untoward ways in order to produce new means of association. Only thus, or so I argue, can social science add to the world we are now beginning to live in

Rude waiter but mouthwatering pastries! An exploratory study into Dutch aspect-based sentiment analysis

The fine-grained task of automatically detecting all sentiment expressions within a given document and the aspects to which they refer is known as aspect-based sentiment analysis. In this paper we present the first full aspect-based sentiment analysis pipeline for Dutch and apply it to customer reviews. To this purpose, we collected reviews from two different domains, i.e. restaurant and smartphone reviews. Both corpora have been manually annotated using newly developed guidelines that comply to standard practices in the field. For our experimental pipeline we perceive aspect-based sentiment analysis as a task consisting of three main subtasks which have to be tackled incrementally: aspect term extraction, aspect category classification and polarity classification. First experiments on our Dutch restaurant corpus reveal that this is indeed a feasible approach that yields promising results

Making Digital Infrastructures More Generative Through Platformization and Platform- driven Software Development: An Explorative Case Study

Digital innovation platforms are particularly known for their generativity producing and reproducing flexible solutions for multiple user groups and attracting third-party developers. Consequently, as a concept, generativity often relates to the consumer market as its focal unit of analysis. In contrast, this paper takes a public sector organization as a unit of analysis, investigating the potential for developing more generative digital infrastructures through processes of platformization and platform-driven software development practices. We define platformization as the transition from silo-based organization to platform-based organization, where the dismantling of monolithic legacy systems enables new ways of organizing the development and maintenance of software development. By decoupling systems, organizations can recouple their organization to overcome the limitations of traditional silo-based organization. Our contribution is twofold. First, we contribute by describing platformization as a sociotechnical process that consist of changes to both infrastructure and organization, where the dismantling of monolithic applications enables new ways of organizing the development and maintenance of software. Second, we contribute by theorizing how platformization processes can produce increased generativity for the IT organization and its digital infrastructure

Inter-organizational learning in drifting environments - Experiences from a multi-firm software development project

This paper examines conditions under which organizations can acquire and profitably utilise knowledge generated in joint product development ventures. Past research states that such learning depends on relationships between knowledge accumulation at the level of joint venture and the evolution of knowledge structures in the wider organizational environment. An important argument of this paper is that such relationships might drift abruptly due to unforeseen events taking place during project operation, creating new challenges and opportunities for learning. Drawing upon previous research on project-based learning, the paper proposes a model of interorganizational learning aimed to help managers and researchers visualising links between drift and learning in distributed project contexts. The paper illustrates and assesses the empirical relevance of the analytical framework through a case study of a multi-firm product development project in the European software industry.

Towards homeostatic architecture: simulation of the generative process of a termite mound construction

This report sets out to the theme of the generation of a ‘living’, homeostatic and self-organizing architectural structure. The main research question this project addresses is what innovative techniques of design, construction and materials could prospectively be developed and eventually applied to create and sustain human-made buildings which are mostly adaptive, self-controlled and self-functioning, without option to a vast supply of materials and peripheral services. The hypothesis is that through the implementation of the biological building behaviour of termites, in terms of collective construction mechanisms that are based on environmental stimuli, we could achieve a simulation of the generative process of their adaptive structures, capable to inform in many ways human construction. The essay explicates the development of the 3-dimensional, agent-based simulation of the termite collective construction and analyzes the results, which involve besides physical modelling of the evolved structures. It finally elucidates the potential of this emerging and adaptive architectural performance to be translated to human practice and thus enlighten new ecological engineering and design methodologies

RFCs, MOOs, LMSs: Assorted Educational Devices\ud

This paper discusses implicit social consequences of four basic internet protocols. The results are then related to the field of computer-assisted teaching. An educational on-line community is described and compared to the emerging standard of web-based learning management.\u

Extranoematic artifacts: neural systems in space and topology

During the past several decades, the evolution in architecture and engineering went through several stages of exploration of form. While the procedures of generating the form have varied from using physical analogous form-finding computation to engaging the form with simulated dynamic forces in digital environment, the self-generation and organization of form has always been the goal. this thesis further intend to contribute to self-organizational capacity in Architecture. The subject of investigation is the rationalizing of geometry from an unorganized point cloud by using learning neural networks. Furthermore, the focus is oriented upon aspects of efficient construction of generated topology. Neural network is connected with constraining properties, which adjust the members of the topology into predefined number of sizes while minimizing the error of deviation from the original form. The resulted algorithm is applied in several different scenarios of construction, highlighting the possibilities and versatility of this method