Network Access in a Diversified Internet

There is a growing interest in virtualized network infrastructures as a means to enable experimental evaluation of new network architectures on a realistic scale. The National Science Foundation\u27s GENI initiative seeks to develop a national experimental facility that would include virtualized network platforms that can support many concurrent experimental networks. Some researchers seek to make virtualization a central architectural component of a future Internet, so that new network architectures can be introduced at any time, without the barriers to entry that currently make this difficult. This paper focuses on how to extend the concept of virtualized networking through LAN-based access networks to the end systems. Our objective is to allow virtual networks that support new network services to make those services directly available to applications, rather than force applications to access them indirectly through existing network protocols. We demonstrate that this approach can improve performance by an order of magnitude over other approaches and can enable virtual networks that provide end-to-end quality of service

Insurance Industry and E-Business

亀井利明教授古稀記念特

The issues of enterprise growth in transition and post-transition period: the case of Polish 'Elektrim'

Case study of Polish company Elektrim illustrates the changing basis of growth of enterprises between the transition and post-transition periods. Elektrim grew primarily through conglomeration in the transition period. After the exhaustion of this mode of growth Elektrim has started to focus on a few core areas (telecoms, cables, energy). The strategic shift to telecommunications has been based on partnerships with foreign firms and it is likely that this will be the pattern in other areas. In this respect, the case of Elektrim shows the importance of internationalisation for the growth of enterprises in CEE. Based on the case study the paper draws several analytical issues: First, Elektrim's shift from conglomeration to focusing suggests that the institutional context, which drives firm strategy in post-socialist economies like Poland, is, perhaps, also changing. Second, in order to grow Elektrim is forced to enter into equity relationships and partnerships like with French Vivendi. This suggests that the possibilities for firm growth in post-socialist economies, like Poland, through generic expansion are still fewer when compared to growth based on mergers & acquisitions or different forms of alliances. Third, Elektrim's relationship with government is complex and refutes the simplified dichotomy of markets vs. governments. This raises the issue of to what extent post-socialist governments operate as a 'compensatory mechanism' on which firms like Elektrim can rely to grow. Fourth, the opening of the CEECs has led to relocations of EU and other MNCs into this region with the result that they are also transferring the oligopolistic competition from EU into new markets. The case of Elektrim shows how CEE companies and goverment regulations become factors in the oligopolistic competition between big EU companies. CEE companies and governments may use this competition to their advantage but also their limited bargaining powers may lead to outcomes unfavourable to them

Computer Literacy, Online Experience or Socioeconomic Characteristics – What are the Main Determinants of Internet Adoption and Internet Usage?

In this paper, we analyze the Internet adoption/usage decisions. To this end, we estimate a sample selection model. In the first stage, we analyze whether the individuals have adopted the Internet; in the second stage, we analyze the Internet usage diversity given adoption. We show that low income and less-educated people are less likely to have adopted the Internet, but they do not have a less diversified Internet usage given adoption. Similar results have been highlighted by Goldfarb and Prince (2008). Furthermore, we show that online experience is a powerful explanation of usage diversity, suggesting that the diffusion of information about the advantages offered by the Internet is partly attributable to the use of the Internet itself.Digital Divide; Internet Adoption; Internet Usage; Diversity.

Big Data Privacy Context: Literature Effects On Secure Informational Assets

This article's objective is the identification of research opportunities in the current big data privacy domain, evaluating literature effects on secure informational assets. Until now, no study has analyzed such relation. Its results can foster science, technologies and businesses. To achieve these objectives, a big data privacy Systematic Literature Review (SLR) is performed on the main scientific peer reviewed journals in Scopus database. Bibliometrics and text mining analysis complement the SLR. This study provides support to big data privacy researchers on: most and least researched themes, research novelty, most cited works and authors, themes evolution through time and many others. In addition, TOPSIS and VIKOR ranks were developed to evaluate literature effects versus informational assets indicators. Secure Internet Servers (SIS) was chosen as decision criteria. Results show that big data privacy literature is strongly focused on computational aspects. However, individuals, societies, organizations and governments face a technological change that has just started to be investigated, with growing concerns on law and regulation aspects. TOPSIS and VIKOR Ranks differed in several positions and the only consistent country between literature and SIS adoption is the United States. Countries in the lowest ranking positions represent future research opportunities.Comment: 21 pages, 9 figure

The Hierarchic treatment of marine ecological information from spatial networks of benthic platforms

Measuring biodiversity simultaneously in different locations, at different temporal scales, and over wide spatial scales is of strategic importance for the improvement of our understanding of the functioning of marine ecosystems and for the conservation of their biodiversity. Monitoring networks of cabled observatories, along with other docked autonomous systems (e.g., Remotely Operated Vehicles [ROVs], Autonomous Underwater Vehicles [AUVs], and crawlers), are being conceived and established at a spatial scale capable of tracking energy fluxes across benthic and pelagic compartments, as well as across geographic ecotones. At the same time, optoacoustic imaging is sustaining an unprecedented expansion in marine ecological monitoring, enabling the acquisition of new biological and environmental data at an appropriate spatiotemporal scale. At this stage, one of the main problems for an effective application of these technologies is the processing, storage, and treatment of the acquired complex ecological information. Here, we provide a conceptual overview on the technological developments in the multiparametric generation, storage, and automated hierarchic treatment of biological and environmental information required to capture the spatiotemporal complexity of a marine ecosystem. In doing so, we present a pipeline of ecological data acquisition and processing in different steps and prone to automation. We also give an example of population biomass, community richness and biodiversity data computation (as indicators for ecosystem functionality) with an Internet Operated Vehicle (a mobile crawler). Finally, we discuss the software requirements for that automated data processing at the level of cyber-infrastructures with sensor calibration and control, data banking, and ingestion into large data portals.Peer ReviewedPostprint (published version