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Browsing by Issue Date, starting with "2020-07-30"

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  • Identification of attributes for evaluating the content of e-government websites: a systematic literature review
    Publication . Monteiro, José Augusto de Araújo; Bernardo, Maria do Rosário Matos; Rocha, Tânia
    In the last twenty years, e-government has become a strong complement to traditional public services. This study involved a systematic literature review to select studies enabling the identification of the attributes used to evaluate how content is delivered to users. The search strategy was limited to four databases to cover egovernment multidisciplinary areas. The sources of information used were books, book chapters, conference papers, and articles in peer-reviewed journals, written in English or Portuguese, and which subjects included e-government research, published since 2000. The PRISMA statement has guided the research methodology. The lack of explanation of the role of the attributes found in the studies and the diversified terminology used, can be pointed as the main limitations of the study. On the other hand, since the interpretation was based on author past experiences and convictions, there may be a bias in the understanding of the less clear attributes with consequences on their description and the interpretation of similarities among attributes. The research resulted in the identification of 139 attributes, from which 56 are considered main attributes, and 83 similar attributes. Attributes such as quality, interface, content, information, user experience, usability, and accessibility appear as the most relevant
    2020-07-30Journal article Open access Show more
  • Scheduling in cloud and fog architecture: identification of limitations and suggestion of improvement perspectives
    Publication . Barros, Celestino Lopes de; Rocio, Vitor; Sousa, André; Paredes, Hugo
    Application execution required in cloud and fog architectures are generally heterogeneous in terms of device and application contexts. Scaling these requirements on these architectures is an optimization problem with multiple restrictions. Despite countless efforts, task scheduling in these architectures continue to present some enticing challenges that can lead us to the question how tasks are routed between different physical devices, fog nodes and cloud. In fog, due to its density and heterogeneity of devices, the scheduling is very complex and in the literature, there are still few studies that have been conducted. However, scheduling in the cloud has been widely studied. Nonetheless, many surveys address this issue from the perspective of service providers or optimize application quality of service (QoS) levels. Also, they ignore contextual information at the level of the device and end users and their user experiences. In this paper, we conducted a systematic review of the literature on the main task by: scheduling algorithms in the existing cloud and fog architecture; studying and discussing their limitations, and we explored and suggested some perspectives for improvement.
    2020-07-30Journal article Open access Show more