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Network Economies for the Internet  [PDF]
Hans W. Gottinger
Modern Economy (ME) , 2012, DOI: 10.4236/me.2012.34053
Abstract: The article has been retracted due to the investigation of complaints received against it. The Editorial Board found that substantial portions of the text came from other published papers. The scientific community takes a very strong view on this matter, and the Modern Economy treats all unethical behavior such as plagiarism seriously. This paper published in Vol.3 No.4 408-423, 2012, has been removed from this site.
First Brazilian Real Time Network DGPS through the Internet: Development, Application and Availability Analyses
D. B. M. Alves, L. F. A. Dalbelo, J. F. G. Monico, M. H. Shimabukuro
Journal of Geodetic Science , 2012, DOI: 10.2478/v10156-011-0018-7
Abstract: The Global Positioning System (GPS) is widely used by the civil community. Differential GPS (DGPS) was developed to provide better accuracy than autonomous GPS. The DGPS concept is based on the high correlation of errors due to atmospheric effects, satellite clocks and orbits. However, as the baseline grows, its efficiency decreases because the error correlation is reduced. This limitation can be handled by using a reference station network and applying the network DGPS concept (called NDGPS). In this paper, the goal is to present aspects related to the development and application of NDGPS in real time at the S o Paulo state network in Brazil. The NDGPS corrections were computed from data received via the Internet using NTRIP (Networked Transport of RTCM via Internet Protocol). Our implementation was based on BNC (BKG Ntrip Client) software. NDGPS provided RMS improvements of up to 59% in horizontal components and 31% in vertical components when compared to DGPS. The availability of the system, the first of this nature in Brazil, was also analyzed within the context of the SP State GNSS Network, located in the southeastern region of Brazil. The results also serve as an indication of the quality of local internet infrastructure for using in geodetic positioning.
Network Edge Intelligence for the Emerging Next-Generation Internet  [PDF]
Salekul Islam,Jean-Charles Grégoire
Future Internet , 2010, DOI: 10.3390/fi2040603
Abstract: The success of the Content Delivery Networks (CDN) in the recent years has demonstrated the increased benefits of the deployment of some form of “intelligence” within the network. Cloud computing, on the other hand, has shown the benefits of economies of scale and the use of a generic infrastructure to support a variety of services. Following that trend, we propose to move away from the smart terminal-dumb network dichotomy to a model where some degree of intelligence is put back into the network, specifically at the edge, with the support of Cloud technology. In this paper, we propose the deployment of an Edge Cloud, which integrates a variety of user-side and server-side services. On the user side, surrogate, an application running on top of the Cloud, supports a virtual client. The surrogate hides the underlying network infrastructure from the user, thus allowing for simpler, more easily managed terminals. Network side services supporting delivery of and exploiting content are also deployed on this infrastructure, giving the Internet Service Providers (ISP) many opportunities to become directly involved in content and service delivery.
Allosteric Transitions of Supramolecular Systems Explored by Network Models: Application to Chaperonin GroEL  [PDF]
Zheng Yang,Peter Májek,Ivet Bahar
PLOS Computational Biology , 2009, DOI: 10.1371/journal.pcbi.1000360
Abstract: Identification of pathways involved in the structural transitions of biomolecular systems is often complicated by the transient nature of the conformations visited across energy barriers and the multiplicity of paths accessible in the multidimensional energy landscape. This task becomes even more challenging in exploring molecular systems on the order of megadaltons. Coarse-grained models that lend themselves to analytical solutions appear to be the only possible means of approaching such cases. Motivated by the utility of elastic network models for describing the collective dynamics of biomolecular systems and by the growing theoretical and experimental evidence in support of the intrinsic accessibility of functional substates, we introduce a new method, adaptive anisotropic network model (aANM), for exploring functional transitions. Application to bacterial chaperonin GroEL and comparisons with experimental data, results from action minimization algorithm, and previous simulations support the utility of aANM as a computationally efficient, yet physically plausible, tool for unraveling potential transition pathways sampled by large complexes/assemblies. An important outcome is the assessment of the critical inter-residue interactions formed/broken near the transition state(s), most of which involve conserved residues.
Towards Parallel Computing on the Internet: Applications, Architectures, Models and Programming Tools  [PDF]
Elankovan Sundararajan,Aaron Harwood
Computer Science , 2006,
Abstract: The development of Internet wide resources for general purpose parallel computing poses the challenging task of matching computation and communication complexity. A number of parallel computing models exist that address this for traditional parallel architectures, and there are a number of emerging models that attempt to do this for large scale Internet-based systems like computational grids. In this survey we cover the three fundamental aspects -- application, architecture and model, and we show how they have been developed over the last decade. We also cover programming tools that are currently being used for parallel programming in computational grids. The trend in conventional computational models are to put emphasis on efficient communication between participating nodes by adapting different types of communication to network conditions. Effects of dynamism and uncertainties that arise in large scale systems are evidently important to understand and yet there is currently little work that addresses this from a parallel computing perspective.
Evaluating and Optimising Models of Network Growth  [PDF]
Richard Clegg,Raul Landa,Uli Harder,Miguel Rio
Computer Science , 2009,
Abstract: This paper presents a statistically sound method for measuring the accuracy with which a probabilistic model reflects the growth of a network, and a method for optimising parameters in such a model. The technique is data-driven, and can be used for the modeling and simulation of any kind of evolving network. The overall framework, a Framework for Evolving Topology Analysis (FETA), is tested on data sets collected from the Internet AS-level topology, social networking websites and a co-authorship network. Statistical models of the growth of these networks are produced and tested using a likelihood-based method. The models are then used to generate artificial topologies with the same statistical properties as the originals. This work can be used to predict future growth patterns for a known network, or to generate artificial models of graph topology evolution for simulation purposes. Particular application examples include strategic network planning, user profiling in social networks or infrastructure deployment in managed overlay-based services.
Network Internet-communications as an instrument of marketing  [PDF]
Mikhail Kaluzhsky,Valery Karpov
Computer Science , 2015,
Abstract: The article is about the features of application of network Internet-communications for advancement of the goods. Wide development of Internet technologies has transformed social communications into the independent tool of marketing. Authors classify and analyze possibilities of use of network Internet-communications in the marketing environment.
Platform on Enterprise Information Management and Cooperation Based on Internet

HU Hua,

系统工程理论与实践 , 2003,
Abstract: Information Management and Union Cooperation are two important activities in enterprise business. This paper, from the specialty of computer network and Internet, proposed and realized an Internet platform on enterprise information management and cooperation. The paper provided models for multi enterprise to management information and cooperation each other based on Internet. It also discussed key techniques and concluded the platform from real application.
Evidence of spatial embedding in the IPv4 router-level Internet network  [PDF]
Joshua Parker,Arnold Boedihardjo
Computer Science , 2014,
Abstract: Much interest has been taken in understanding the global routing structure of the Internet, both to model and protect the current structures and to modify the structure to improve resilience. These studies rely on trace-routes and algorithmic inference to resolve individual IP addresses into connected routers, yielding a network of routers. Using WHOIS registries, parsing of DNS registries, as well as simple latency-based triangulation, these routers can often be geolocated to at least their country of origin, if not specific regions. In this work, we use node subgraph summary statistics to present evidence that the router-level (IPv4) network is spatially embedded, with the similarity (or dissimilarity) of a node from it's neighbor strongly correlating with the attributes of other routers residing in the same country or region. We discuss these results in context of the recently proposed gravity models of the Internet, as well as the potential application to geolocation inferrence.
A Curve Shaped Description of Large Networks, with an Application to the Evaluation of Network Models  [PDF]
Xianchuang Su,Xiaogang Jin,Yong Min,Linjian Mo,Jiangang Yang
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0019784
Abstract: Understanding the structure of complex networks is a continuing challenge, which calls for novel approaches and models to capture their structure and reveal the mechanisms that shape the networks. Although various topological measures, such as degree distributions or clustering coefficients, have been proposed to characterize network structure from many different angles, a comprehensive and intuitive representation of large networks that allows quantitative analysis is still difficult to achieve.
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