97 research outputs found

    ANALYSIS OF PROFITABILITY RATES IN BANK CREDITING

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    ABSTRACT. This paper aims to analyze rates of return for the diagnosis of an economicentity aiming to be credited. The methodology used consists in reporting some impact on workor certain balance sheets. The main results of research lead to the conclusion that on the onehand, rates of return analysis should be correlated with other indicators of economic activityat the trader level in order to reflect a more complete picture of the activity, and on the otherhand, that the role of profit should not be fetishized.economic profitability, financial profitability, commercial profitability, real return onequity

    NEW FRONTIERS IN CREDIT RISK ANALYSIS

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    The emergence of credit risks in recent years has burned the world economy leading to the onset of one of the toughest global economic crisis. Superficiality and incompetence demonstrated by the banking system in credit risk analysis has seen the highest peaks. Banks had as main objective winning new markets at any cost and risk management and banking marketing have known the most serious contradiction. On the one hand, sales of banking products at any price, on the other hand mitigation of banking risks. The paper aims to demonstrate that a new approach is needed in credit risk analysis.credit risk, risk management, banking marketing, financial risk, performance indicators

    On the Implementation of a Content-Addressable Network

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    Abstract-Over the last years, the Internet has evolved towards becoming the dominant platform for deployment of new services and applications such as real time and multimedia services, application-level multicast communication and large-scale data sharing. A consequence of this evolution is that features like robust routing, efficient search, scalability, decentralization, fault tolerance, trust and authentication have become of paramount importance. We consider in our paper the specific case of structured peer-to-peer (P2P) overlay networks with a particular focus on Content-Addressable Networks (CANs). An investigation of the existing approaches for structured P2P overlay networks is provided, where we point out their advantages and drawbacks. The essentials of CAN architecture are presented and based on that, we report on the implementation of a CAN simulator. Our initial goal is to use the simulator for investigating the performance of the CAN with focus on the routing algorithm. Preliminary results obtained in our experiments are reported as well

    On Unicast QoS Routing in Overlay Networks

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    In the last few years the Internet has witnessed a tremendous growth in the area of multimedia services. For example YouTube, used for videosharing [1] and Skype, used for Internet telephony [2], enjoy a huge popularity, counting their users in millions. Traditional media services, such as telephony, radio and TV, once upon a time using dedicated networks are now deployed over the Internet at an accelerating pace. The triple play and quadruple play business models, which consist of combined broadband access, (fixed and mobile) telephony and TV over a common access medium, are evidence for this development. Multimedia services often have strict requirements on quality of service (QoS) metrics such as available bandwidth, packet delay, delay jitter and packet loss rate. Existing QoS architectures (e. g. , IntServ and DiffServ) are typically used within the service provider network, but have not seen a wide Internet deployment. Consequently, Internet applications are still forced to rely on the Internet Protocol (IP)’s best-effort service. Furthermore, wide availability of computing resources at the edge of the network has lead to the appearance of services implemented in overlay networks. The overlay networks are typically spawned between end-nodes that share resources with each other in a peer-to-peer (P2P) fashion. Since these services are not relying on dedicated resources provided by a third-party, they can be deployed with little effort and low cost. On the other hand, they require mechanisms for handling resource fluctuations when nodes join and leave the overlay. This dissertation addresses the problem of unicast QoS routing implemented in overlay networks. More precisely, we are investigating methods for providing a QoS-aware service on top of IP’s best-effort service, with minimal changes to existing Internet infrastructure. A framework named Overlay Routing Protocol (ORP) was developed for this purpose. The framework is used for handling QoS path discovery and path restoration. ORP’s performance was evaluated through a comprehensive simulation study. The study showed that QoS paths can be established and maintained as long as one is willing to accept a protocol overhead of maximum 1.5% of the network capacity. We studied the Gnutella P2P network as an example of overlay network. An 11-days long Gnutella link-layer packet trace collected at Blekinge Institute of Technology (BTH) was systematically decoded and analyzed. Analysis results include various traffic characteristics and statistical models. The emphasis for the characteristics has been on accuracy and detail, while for the traffic models the emphasis has been on analytical tractability and ease of simulation. To the author’s best knowledge this is the first work on Gnutella that presents statistics down to message level. The models for Gnutella’s session arrival rate and session duration were further used to generate churn within the ORP simulations. Finally, another important contribution is the evaluation of GNU Linear Programming Toolkit (GLPK)’s performance in solving linear optimization problems for flow allocation with the simplex method and the interior point method, respectively. Based on the results of the evaluation, the simplex method was selected to be integrated with ORP’s path restoration capability

    Gnutella Nätverkstrafik : Mätningar och Karakteristik

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    Wide availability of computing resources at the edge of the network has lead to the appearance of new services based on peer-to-peer architectures. In a peer-to-peer network nodes have the capability to act both as client and server. They self-organize and cooperate with each other to perform more efficiently operations related to peer discovery, content search and content distribution. The main goal of this thesis is to obtain a better understanding of the network traffic generated by Gnutella peers. Gnutella is a well-known, heavily decentralized file-sharing peer-to-peer network. It is based on open protocol specifications for peer signaling, which enable detailed measurements and analysis down to individual messages. File transfers are performed using HTTP. An 11-days long Gnutella link-layer packet trace collected at BTH is systematically decoded and analyzed. Analysis results include various traffic characteristics and statistical models. The emphasis for the characteristics has been on accuracy and detail, while for the traffic models the emphasis has been on analytical tractability and ease of simulation. To the author's best knowledge this is the first work on Gnutella that presents statistics down to message level. The results show that incoming requests to open a session follow a Poisson distribution. Incoming messages of mixed types can be described by a compound Poisson distribution. Mixture distribution models for message transfer rates include a heavy-tailed component.http://www.its.bth.se/staff/dil
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