1,721,010 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Evaluating ML-based DDoS Detection with Grid Search Hyperparameter Optimization
No full textDistributed Denial of Service (DDoS) attacks disrupt global network services by mainly overwhelming the victim host with requests originating from multiple traffic sources. DDoS attacks are currently on the rise due to the ease of execution and rental of distributed architectures such as the Internet of Things (IoT) and cloud infrastructures, which could potentially result in substantial revenue losses. Therefore, the detection and prevention of DDoS attacks are currently topics of high interest. In this study, we use traffic flow information to determine if a specific flow is associated with a DDoS attack. We used traditional Machine Learning (ML) methods in developing our DDoS detector and applied an exhaustive hyperparameter search to optimize their detection capability. Using lightweight approaches is suitable for resource-constrained environments such as IoT to reduce computing overhead. Our evaluation shows that most algorithms provide satisfactory results, with Random Forests achieving as high as 99% of detection accuracy, which is similar to the performance of current deep learning solutions for DDoS detection
Mobile Edge Vertical Computing over 5G Network Sliced Infrastructures: An Insight into Integration Approaches
No full text5G is designed to leverage on network soft-warization technologies, like NEV and MEC, to expose customized network instances and resources at the edge of the infrastructure to vertical stakeholders. Most of the 5G success will depend on the ability to attract vertical stakeholders acting in the cloud, enabling them to smoothly port cloud applications to 5G, and to add performance and cognitive capabilities not supported in cloud environments. To this end, this article provides an insight into the possible architectural approaches to fully integrate vApps into the 5G infrastructure. The article follows a top-down approach. First, it provides an outlook on the state of the art in cloud application design, and on the new MEC and NFV capabilities. Then, on this basis, the analysis is devoted to identifying integration issues not yet fully addressed in standards specifications. Two alternative architectural approaches are discussed
An Experimental Evaluation of the TCP Energy Consumption
No full textThe objective of this paper is to determine how the incoming and outgoing traffic patterns provided by the TCP impact the energy efficiency of a networked device under realistic scenarios. We set up a complex test-bed that allowed us to perform a large number of measurements of energy-And network-performance indexes on a general-purpose computing system with power management capabilities, and the Linux operating system. The performed measurements gave us a chance not only 1) to provide a complete energy profiling of TCP connections, but also 2) to analyze the role of underlying network protocols in detail, and 3) to identify specific situations where current network protocols may trigger high inefficiencies in networked hosts. Based on the obtained results, we also conducted further experiments for evaluating techniques for reducing the energy consumption induced by TCP data transfers under different scenarios
OpenFlow in the small: A flexible and efficient network acceleration framework for multi-core systems
No full textMulti-core processors optimized for networking applications typically combine general-purpose cores with offloading engines to relieve the processor cores of specialized packet processing tasks, such as parsing, classification, and security. Unfortunately, modern embedded operating systems still lack an effective and advanced hardware abstraction to exploit these aspects optimally. Based on these considerations, this paper proposes a novel framework, OpenFlow in the Small (OFiS), specifically designed to provide a flexible hardware abstraction layer for heterogeneous multi-core systems with advanced hardware accelerators for network offloading. OFiS represents such accelerators as standard OpenFlow switches inside the processor, moving the edge of the OpenFlow network management to the computational resources inside the end-boxes. As indicated in the experimental evaluation, OFiS exploits hardware parallelism and consolidates the software tasks at finer granularities
Energy analysts need a standard that interprets the Metro Area Global Information Infrastructure
No full textIn this paper, we argue that the energy analyst’s understanding of the metro area network must be supported by a standard that (a) generalizes diversity, through the means of the abstraction of the implementational model, while (b) distinguishing between deployments through physical reference points. The need for this kind of model has already been foreseen in the ITU-T’s Recommendation Y.110, including the need “to illustrate how system performance can be affected by implementation.” Preliminary results that concern the access network are presented
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