1,720,961 research outputs found

    An architecture to manage security operations for digital service chains

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    Evolving business models are progressively pushing for increasing digitalization of existing and novel processes. The ICT industry is already addressing this need by massive introduction of virtualization paradigms and tight integration with the physical environment, which allow the creation of multi-domain and complex business service chains. Emerging technologies undoubtedly bring more agility in service deployment and operation but also break traditional security models, which have not been conceived for dynamic and multi-tenancy environments. In this paper, we briefly elaborate on existing gaps and research challenges towards advanced assurance and protection of trustworthy and reliable business chains spanning multiple administrative domains and heterogeneous infrastructures. We consolidate our analysis in a reference architecture, which includes all functional elements to effectively tackle the dynamic and agile nature of emerging ICT paradigms

    Characterizing the network behavior of P2P traffic

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    Nowadays the majority of Internet traffic is generated by peer-to-peer (P2P) file sharing applications. As the popularity of these applications has been increasing dramatically over the past few years, it becomes increasingly important to analyze their behavior and to understand their effects on the network. The ability to quantify their impact on the network is fundamental to a number of network operations, including traffic engineering, capacity planning, quality of service, forecasting for long-term provisioning, etc. We present here a measurement study on the characteristics of the traffic associated with two different P2P applications. Our aim is to provide useful insight into the nature of P2P traffic from the point of view of the network. To achieve this, we introduce a novel meauserement, Content Transfer Index (CTI), to distinguish two classes of behavior associated with P2P traffic: the download and the signaling traffic profile. Next we apply the CTI to our data sets and show that it effectively offers a general characterization of P2P traffic. Finally, we present a number of statistical measurements that are significantly unbiased due to having considered the distinction between the two classes. To the best of our knowledge, this is the first study to follow this approach. We believe such a study will help researchers better understand the impact of P2P applications on the network and how to improve their performance

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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