4,071 research outputs found

    Why (and How) Networks Should Run Themselves

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    The proliferation of networked devices, systems, and applications that we depend on every day makes managing networks more important than ever. The increasing security, availability, and performance demands of these applications suggest that these increasingly difficult network management problems be solved in real time, across a complex web of interacting protocols and systems. Alas, just as the importance of network management has increased, the network has grown so complex that it is seemingly unmanageable. In this new era, network management requires a fundamentally new approach. Instead of optimizations based on closed-form analysis of individual protocols, network operators need data-driven, machine-learning-based models of end-to-end and application performance based on high-level policy goals and a holistic view of the underlying components. Instead of anomaly detection algorithms that operate on offline analysis of network traces, operators need classification and detection algorithms that can make real-time, closed-loop decisions. Networks should learn to drive themselves. This paper explores this concept, discussing how we might attain this ambitious goal by more closely coupling measurement with real-time control and by relying on learning for inference and prediction about a networked application or system, as opposed to closed-form analysis of individual protocols

    Herd Behavior in Financial Markets

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    This paper provides an overview of the recent theoretical and empirical research on herd behavior in financial markets. It looks at what precisely is meant by herding, the causes of herd behavior, the success of existing studies in identifying the phenomenon, and the effect that herding has on financial markets. Copyright 2001, International Monetary Fund

    Reflective federation of enterprises in open service ecosystem

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    DOES INSTITUTIONAL CHANGE REALLY MATTER? INFLATION TARGETS, CENTRAL BANK REFORM AND INTEREST RATE POLICY IN THE OECD COUNTRIES

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    We estimate forward-looking interest-rate reaction functions for the G3 economies and for a group of countries which recently adopted inflation targets. Some significant shifts in the conduct of monetary policy are detected in the G3 countries, especially in the USA and Japan. In contrast with popular wisdom, it is only since the 1990s that policies in these countries begin to look consistent with an inflation-targeting regime. In addition, the introduction of inflation targeting and central bank reforms in countries like Sweden, Canada and New Zealand has not led to major changes in the way in which central banks react to the objectives of economic policy. In all cases changes in policy behaviour pre-date the introduction of inflation targets and central bank reforms. The paper challenges the one-size-fits-all attitude towards modern central bank policymaking which permeates a great deal of the current literature.

    Does Institutional Change Really Matter? Inflation Targets, Central Bank Reform and Interest Rate Policy in the OECD Countries

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    We estimate forward-looking interest-rate reaction functions for the G3 economies and for a group of countries which recently adopted inflation targets. Some significant shifts in the conduct of monetary policy are detected in the G3 countries, especially in the US A and Japan. In contrast with popular wisdom, it is only since the 1990s that policies in these countries begin to look consistent with an inflation-targeting regime. In addition, the introduction of inflation targeting and central bank reforms in countries like Sweden, Canada and New Zealand has not led to major changes in the way in which central banks react to the objectives of economic policy. In all cases changes in policy behaviour pre-date the introduction of inflation targets and central bank reforms. The paper challenges the one-size-fits-all attitude towards modern central bank policymaking which permeates a great deal of the current literature.Monetary policy, inflation targets, central bank reform, reaction functions, interest rates

    Ensuring financial stability of companies on the basis of international experience in construction of risks maps, internal control and audit

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    The managerial information can be considered as the basis for implementation of system organized phenomena which provide development of instruments, methods and strategies of management. The information is updated and implemented in the system of control actions on the object of management. A universal principle of information and financial correspondence of techniques and instruments exists between managerial information and selected vector of the financial strategy of the company development. In conditions of close informational interaction of professional auditing companies and their regular customers the construction of enterprise risk maps takes place, which allows eliminating imbalances of development based on financial consulting. It is professional financial consulting on the basis of high-quality managerial information that enables companies interacting with auditors to ensure financial stability. Development of risk management systems supposes appearance at all levels of the information management system of specialists in risk management understanding the peculiarities of risk-management methods. In order to ensure financial stability it is important to make the risk management instruments at the level of its comprehensibility to apply them for identifying the really existing risks.peer-reviewe

    IntelliFlow : um enfoque proativo para adicionar inteligência de ameaças cibernéticas a redes definidas por software

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    Orientador: Christian Rodolfo Esteve RothenbergDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de ComputaçãoResumo: Segurança tem sido uma das principais preocupações enfrentadas pela computação em rede principalmente, com o aumento das ameaças à medida que a Internet comercial e economias afins crescem rapidamente. Tecnologias de virtualização que permitem serviços em nuvem em escala colocam novos desafios para a segurança das infraestruturas computacionais, exigindo novos mecanismos que combinem o best-of-breed para reagir contra as metodologias de ataque emergentes. Nosso trabalho busca explorar os avanços na Cyber Threat Intelligence (CTI) no contexto da arquitetura de redes definidas por software, ou em inglês, Software Defined Networking (SDN). Enquanto a CTI representa uma abordagem recente para o combate de ameaças baseada em fontes confiáveis, a partir do compartihamento de informação e conhecimento sobre atividades criminais virtuais, a SDN é uma tendência recente na arquitetura de redes computacionais baseada em princípios de modulação e programabilidade. Nesta dissertação, nós propomos IntelliFlow, um sistema de detecção de inteligência para SDN que segue a abordagem proativa usando OpenFlow para efetivar contramedidas para as ameaças aprendidas a partir de um plano de inteligência distribuida. Nós mostramos a partir de uma implementação de prova de conceito que o sistema proposto é capaz de trazer uma série de benefícios em termos de efetividade e eficiência, contribuindo no plano geral para a segurança de projetos de computação de rede modernosAbstract: Security is a major concern in computer networking which faces increasing threats as the commercial Internet and related economies continue to grow. Virtualization technologies enabling scalable Cloud services pose further challenges to the security of computer infrastructures, demanding novel mechanisms combining the best-of-breed to counter certain types of attacks. Our work aims to explore advances in Cyber Threat Intelligence (CTI) in the context of Software Defined Networking (SDN) architectures. While CTI represents a recent approach to combat threats based on reliable sources, by sharing information and knowledge about computer criminal activities, SDN is a recent trend in architecting computer networks based on modularization and programmability principles. In this dissertation, we propose IntelliFlow, an intelligent detection system for SDN that follows a proactive approach using OpenFlow to deploy countermeasures to the threats learned through a distributed intelligent plane. We show through a proof of concept implementation that the proposed system is capable of delivering a number of benefits in terms of effectiveness and efficiency, altogether contributing to the security of modern computer network designsMestradoEngenharia de ComputaçãoMestre em Engenharia Elétrica159905/2013-3CNP

    The Growing Role of Digital Media in International Trade

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    Businesses that are involved in international commerce are beginning to recognize the growing importance of digital media as a tool. Utilizing digital media in international commerce may result in a number of positive outcomes, including higher productivity, decreased expenses, and enhanced levels of communication. However, digital media also presents important obstacles, such as risks associated with cybersecurity, the existence of a digital divide, and the need for new rules at the international level. In this study, we investigate the expanding importance of digital media in international commerce and talk about the advantages, disadvantages, and future possibilities of this phenomenon. In addition to this, the paper offers suggestions for both governments and enterprises for how to make the most of digital media in international commerce
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