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Register a new userTransformation of chains of deliveries in network economy: priorities and prospects
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Added by
Mikhail Kaluzhsky L.
Publication date
2015
fields
Informatics Engineering
and research's language is
English
Authors
Mikhail Kaluzhsky
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No Arabic abstract
Development of network economy changes the institutional maintenance of economic relations. On change to traditional channels of distribution virtual networks of distribution of production come. In article features and mechanisms of transformation of chains deliveries in e-commerce reveal.
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In university programs and curricula, in general we react to the need to meet market needs. We respond to market stimulus, or at least try to do so. Consider now an inverted view. Consider our data and perspectives in university programs as reflecting and indeed presaging economic trends. In this article I pursue this line of thinking. I show how various past events fit very well into this new view. I provide explanation for why some technology trends happened as they did, and why some current developments are important now.
E-commerce is gradually transformed from a version of trading activity to independent branch of global network economy which cannot be ignored. The Russian Federation is in the lead in the CIS on development of e-commerce, but lags behind world leaders in institutionalization of e-commerce. Problems of state regulation of e-commerce in Russia are analyzed in article, ways of their decision are offered.
Recent election surprises and regime changes have left the impression that politics has become more fast-moving and unstable. While modern politics does seem more volatile, there is little systematic evidence to support this claim. This paper seeks to address this gap in knowledge by reporting data over the last seventy years using public opinion polls and traditional media data from the UK and Germany. These countries are good cases to study because both have experienced considerable changes in electoral behaviour and have new political parties during the time period studied. We measure volatility in public opinion and in media coverage using approaches from information theory, tracking the change in word-use patterns across over 700,000 articles. Our preliminary analysis suggests an increase in the number of opinion issues over time and a growth in lack of predictability of the media series from the 1970s.
This paper explores the hypothesis that the diversity of human languages, right now a barrier to interoperability in communication and trade, will become significantly less of a barrier as machine translation technologies are deployed over the next several years.But this new boundary-breaking technology does not reduce all boundaries equally, and it creates new challenges for the distribution of ideas and thus for innovation and economic growth.
The increasing use of cloud computing for latency-sensitive applications has sparked renewed interest in providing tight bounds on network tail latency. Achieving this in practice at reasonable network utilization has proved elusive, due to a combination of highly bursty application demand, faster link speeds, and heavy-tailed message sizes. While priority scheduling can be used to reduce tail latency for some traffic, this comes at a cost of much worse delay behavior for all other traffic on the network. Most operators choose to run their networks at very low average utilization, despite the added cost, and yet still suffer poor tail behavior. This paper takes a different approach. We build a system, swp, to help operators (and network designers) to understand and control tail latency without relying on priority scheduling. As network workload changes, swp is designed to give real-time advice on the network switch configurations needed to maintain tail latency objectives for each traffic class. The core of swp is an efficient model for simulating the combined effect of traffic characteristics, end-to-end congestion control, and switch scheduling on service-level objectives (SLOs), along with an optimizer that adjusts switch-level scheduling weights assigned to each class. Using simulation across a diverse set of workloads with different SLOs, we show that to meet the same SLOs as swp provides, FIFO would require 65% greater link capacity, and 79% more for scenarios with tight SLOs on bursty traffic classes.
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