1,720,961 research outputs found
A Review on Virtualization: A Cloud Technology
Cloud computing is used to utilize the shared resources to a maximum possible extent. These resources are shared by more than one user at a time as per their need. This improves computing power for using various applications at various places with additional advantage of cost saving on storage space and electricity consumption. Virtualization is one of the important technologies of cloud computing, which directs to act virtually instead of actually doing something. Through virtualization software, sharing of the system resources is done across multiple environments. This paper mainly focuses on introduction to virtualization, advantages & disadvantages of virtualization and types of virtualization like: server, desktop, application, programming language, storage, network virtualization etc. Server virtualization involves partitioning a main server into different virtual servers. Desktop virtualization jointly with application virtualization is used to provide a desktop environment management system. Applications in the application virtualization are executed on different operating system as if it is executing on original operating system. Storage virtualization makes available data from multiple network storage devices into one single storage unit. Network virtualization is the process of combining hardware and software network resources into a single virtual network through software. In addition to this, the paper provides future research direction in virtualization.
DOI: 10.17762/ijritcc2321-8169.15074
NIDS-Network Intrusion Detection System Based on Deep and Machine Learning Frameworks with CICIDS2018 using Cloud Computing
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Variations on the Author
“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
We 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
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