17 research outputs found

    Software defined networking challenges and future direction: A case study of implementing SDN features on OpenStack private cloud

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    Cloud computing provides services on demand instantly, such as access to network infrastructure consisting of computing hardware, operating systems, network storage, database and applications. Network usage and demands are growing at a very fast rate and to meet the current requirements, there is a need for automatic infrastructure scaling. Traditional networks are difficult to automate because of the distributed nature of their decision making process for switching or routing which are collocated on the same device. Managing complex environments using traditional networks is time-consuming and expensive, especially in the case of generating virtual machines, migration and network configuration. To mitigate the challenges, network operations require efficient, flexible, agile and scalable software defined networks (SDN). This paper discuss various issues in SDN and suggests how to mitigate the network management related issues. A private cloud prototype test bed was setup to implement the SDN on the OpenStack platform to test and evaluate the various network performances provided by the various configurations

    Engaging (Past) Participants: The Case of radicalprintshops.org

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    Wikis have for some time been heralded for their democratic and participatory potential and there has been significant research into the use of wikis in a variety of contexts. Within academic research they tend to be used by closed groups to manage material rather than for research per se. This chapter describes an experiment and the challenges to do the latter through the instigation of the open access wiki radicalprintshops.org

    Cooperative Management Of Enterprise Networks In A Mobile Environment

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    A mobile Computer Supported Cooperative Work (CSCW) environment is a natural setting for the integrated management of enterprise networks. This allows the sharing of scarce management expertise. The infrastructure for such systems is likely to proliferate soon, thanks to the rapid growth in mobile data communication systems. But these systems have severe bandwidth restrictions and have limited battery power on mobile terminals. Therefore, many of the standard clientserver applications are not suitable for a mobile environment. However, the mobile environment offers a potentially useful facility in terms of broadcasting that allows multiple experts to work together with out adding any significant overhead on the communication and computing infrastructure. This paper analyses the requirements for supporting CSCW management applications in a mobile environment. 1. INTRODUCTION The world is witnessing substantial growth in networked information systems. The fast growth of technology nece..

    Wearing Multiple Reflexive Hats: The Ethical Complexities of Media-Oriented Community Engaged Learning

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    This chapter explores the ethical, political, and logistical challenges associated with both facilitating community engaged learning (CEL) in higher education and conducting research on the topic. As a type of experiential learning (EL), the overarching objective of CEL is for students to engage in a project developed collaboratively with a community partner that has mutually beneficial outcomes. The chapter critically examines the ethical issues at play for scholars who bear a trinal responsibility to the students who participate in these types of CEL activities, to the people and issues at the heart of community-based endeavours, and to the principles undergirding the critical scholarship they produce about this form of pedagogy. To navigate these positions, individuals must engage in ongoing and authentic reflection about their intentions, perspectives, and actions. The chapter concludes with a call to colleagues to pay greater attention to CEL in the field of communications and media studies; to consider both the potential benefits and drawbacks of participating in CEL; and to be willing to engage in conversations about this ‘hands-on’ pedagogy with the goal of developing our own narratives about, and best practices for, its role in higher education

    Modeling and Simulation of a Spacecraft Payload Hardware Using Machine Learning Techniques

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    Space systems are complex and consist of multiple subsystems. Research and development teams of such complex systems are usually distributed among various institutions and space agencies. This affects the quality of the On-board Software (OBSW) since testing it without having all required subsystems at the software development site can be troublesome. In this paper, we present a data-driven method which can be used to synthesize parts of a system or even an entire system as a black-box model. We exploit the data collected from the real hardware to derive a model using a Machine Learning (ML) algorithm. The proposed model can easily be distributed among development teams and is dedicated to emulate the system for testing the OBSW
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