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Absolute BSD : the ultimate guide to FreeBSD
This complete guide to FreeBSD includes coverage of installation, networking, add-on software, security, network services, system performance, kernel tweaking, filesystems, SCSI and RAID configurations, SMP, upgrading, monitoring, crash debugging, BSD in the office, and emulating other OSs.
eBook
Digital Inclusion as Health Care — Supporting Health Care Equity with Digital-Infrastructure Initiatives
Digital inclusion is becoming intertwined with health care equity. The Infrastructure Investment and Jobs Act addresses drivers of digital health disparities, offers opportunities for community-based digital inclusion, and could be a lever for improving access to care.
Journal Article
The taxonomic name resolution service: an online tool for automated standardization of plant names
Background
The digitization of biodiversity data is leading to the widespread application of taxon names that are superfluous, ambiguous or incorrect, resulting in mismatched records and inflated species numbers. The ultimate consequences of misspelled names and bad taxonomy are erroneous scientific conclusions and faulty policy decisions. The lack of tools for correcting this ‘names problem’ has become a fundamental obstacle to integrating disparate data sources and advancing the progress of biodiversity science.
Results
The TNRS, or Taxonomic Name Resolution Service, is an online application for automated and user-supervised standardization of plant scientific names. The TNRS builds upon and extends existing open-source applications for name parsing and fuzzy matching. Names are standardized against multiple reference taxonomies, including the Missouri Botanical Garden's Tropicos database. Capable of processing thousands of names in a single operation, the TNRS parses and corrects misspelled names and authorities, standardizes variant spellings, and converts nomenclatural synonyms to accepted names. Family names can be included to increase match accuracy and resolve many types of homonyms. Partial matching of higher taxa combined with extraction of annotations, accession numbers and morphospecies allows the TNRS to standardize taxonomy across a broad range of active and legacy datasets.
Conclusions
We show how the TNRS can resolve many forms of taxonomic semantic heterogeneity, correct spelling errors and eliminate spurious names. As a result, the TNRS can aid the integration of disparate biological datasets. Although the TNRS was developed to aid in standardizing plant names, its underlying algorithms and design can be extended to all organisms and nomenclatural codes. The TNRS is accessible via a web interface at
http://tnrs.iplantcollaborative.org/
and as a RESTful web service and application programming interface. Source code is available at
https://github.com/iPlantCollaborativeOpenSource/TNRS/
.
Journal Article
TerraBrasilis: A Spatial Data Analytics Infrastructure for Large-Scale Thematic Mapping
The physical phenomena derived from an analysis of remotely sensed imagery provide a clearer understanding of the spectral variations of a large number of land use and cover (LUC) classes. The creation of LUC maps have corroborated this view by enabling the scientific community to estimate the parameter heterogeneity of the Earth’s surface. Along with descriptions of features and statistics for aggregating spatio-temporal information, the government programs have disseminated thematic maps to further the implementation of effective public policies and foster sustainable development. In Brazil, PRODES and DETER have shown that they are committed to monitoring the mapping areas of large-scale deforestation systematically and by means of data quality assurance. However, these programs are so complex that they require the designing, implementation and deployment of a spatial data infrastructure based on extensive data analytics features so that users who lack a necessary understanding of standard spatial interfaces can still carry out research on them. With this in mind, the Brazilian National Institute for Space Research (INPE) has designed TerraBrasilis, a spatial data analytics infrastructure that provides interfaces that are not only found within traditional geographic information systems but also in data analytics environments with complex algorithms. To ensure it achieved its best performance, we leveraged a micro-service architecture with virtualized computer resources to enable high availability, lower size, simplicity to produce an increment, reliable to change and fault tolerance in unstable computer network scenarios. In addition, we tuned and optimized our databases both to adjust to the input format of complex algorithms and speed up the loading of the web application so that it was faster than other systems.
Journal Article
Component-Centric Mobile Cloud Architecture Performance Evaluation: an Analytical Approach for Unified Models and Component Compatibility with Next Generation Evolving Technologies
Mobile cloud architectures (MCAs) and their components have become significant contributors in executing resource-demanding mobile applications. Selecting the most appropriate components is vital and more challenging in designing MCAs for their developers, even with the rapid growth in components and emerging computing paradigms. However, there are neither standard agreements nor unified policies for selecting, adopting, and adapting pertinent components on building MCAs. This study investigates many state-of-the-art architectures and identifies inconsistencies around MCAs. It innovatively presents a unified approach that includes component classifications, component adoption policies, and three unified MCAs. It also evaluates the components’ contributions to the architectures, implements the proposed approach on the existing architectures, and determines components’ compatibility for next generation evolving technologies. Indeed, this study recommends that the developers should consider the introduced unified approach and the suggested future research directions while designing the MCAs and application-execution models.
Journal Article
Web service QoS prediction using improved software source code metrics
Due to the popularity of Web-based applications, various developers have provided an abundance of Web services with similar functionality. Such similarity makes it challenging for users to discover, select, and recommend appropriate Web services for the service-oriented systems. Quality of Service (QoS) has become a vital criterion for service discovery, selection, and recommendation. Unfortunately, service registries cannot ensure the validity of the available quality values of the Web services provided online. Consequently, predicting the Web services' QoS values has become a vital way to find the most appropriate services. In this paper, we propose a novel methodology for predicting Web service QoS using source code metrics. The core component is aggregating software metrics using inequality distribution from micro level of individual class to the macro level of the entire Web service. We used correlation between QoS and software metrics to train the learning machine. We validate and evaluate our approach using three sets of software quality metrics. Our results show that the proposed methodology can help improve the efficiency for the prediction of QoS properties using its source code metrics.
Journal Article
Efficient Resource Utilization in IoT and Cloud Computing
With the proliferation of IoT devices, there has been exponential growth in data generation, placing substantial demands on both cloud computing (CC) and internet infrastructure. CC, renowned for its scalability and virtual resource provisioning, is of paramount importance in e-commerce applications. However, the dynamic nature of IoT and cloud services introduces unique challenges, notably in the establishment of service-level agreements (SLAs) and the continuous monitoring of compliance. This paper presents a versatile framework for the adaptation of e-commerce applications to IoT and CC environments. It introduces a comprehensive set of metrics designed to support SLAs by enabling periodic resource assessments, ensuring alignment with service-level objectives (SLOs). This policy-driven approach seeks to automate resource management in the era of CC, thereby reducing the dependency on extensive human intervention in e-commerce applications. This paper culminates with a case study that demonstrates the practical utilization of metrics and policies in the management of cloud resources. Furthermore, it provides valuable insights into the resource requisites for deploying e-commerce applications within the realms of the IoT and CC. This holistic approach holds the potential to streamline the monitoring and administration of CC services, ultimately enhancing their efficiency and reliability.
Journal Article