An overview of Fog computing and its security issues Tập 28 Số 10 - Trang 2991-3005 - 2016
Ivan Stojmenović, Sheng Wen, Xinyi Huang, Tom H. Luan
SummaryFog computing is a paradigm that extends Cloud computing and services to
the edge of the network. Similar to Cloud, Fog provides data, compute, storage
and application services to end users. In this article, we elaborate the
motivation and advantages of Fog computing and analyse its applications in a
series of real scenarios, such as Smart Grid, smart traffic lights in vehicular
networks an... hiện toàn bộ
Internet of things in smart education environment: Supportive framework in the decision‐making process Tập 31 Số 10 - 2019
Mohamed Abdel‐Basset, Gunasekaran Manogaran, Mai Mohamed, Ehab Rushdy
SummaryThe role of education, which propagates knowledge, becomes increasingly
significant in the past little years due to the fulminatory expansion in
knowledge. Meantime, the model of education process is going via a conversion in
which the learning of different students need to be completed in various ways.
Therefore, the smart education environment is encouraged. It incorporates
different info... hiện toàn bộ
Assessing the quality and trustworthiness of citizen science data Tập 25 Số 4 - Trang 454-466 - 2013
Jane Hunter, Abdulmonem Alabri, Catharine van Ingen
SUMMARYThe Internet, Web 2.0 and Social Networking technologies are enabling
citizens to actively participate in ‘citizen science’ projects by contributing
data to scientific programmes via the Web. However, the limited training,
knowledge and expertise of contributors can lead to poor quality, misleading or
even malicious data being submitted. Subsequently, the scientific community
often perceive... hiện toàn bộ
A generic parallel pattern interface for stream and data processing Tập 29 Số 24 - 2017
David del Rio Astorga, Manuel F. Dolz, Javier Fernández, J. Daniel García
SummaryCurrent parallel programming frameworks aid developers to a great extent
in implementing applications that exploit parallel hardware resources.
Nevertheless, developers require additional expertise to properly use and tune
them to operate efficiently on specific parallel platforms. On the other hand,
porting applications between different parallel programming models and platforms
is not str... hiện toàn bộ
Parallelizing dense and banded linear algebra libraries using SMPSs Tập 21 Số 18 - Trang 2438-2456 - 2009
Rosa M. Badía, José R. Herrero, Jesús Labarta, J. M. Pérez, Enrique S. Quintana–Ort́ı, Gregorio Quintana‐Ortí
AbstractThe promise of future many‐core processors, with hundreds of threads
running concurrently, has led the developers of linear algebra libraries to
rethink their design in order to extract more parallelism, further exploit data
locality, attain better load balance, and pay careful attention to the critical
path of computation. In this paper we describe how existing serial libraries
such as (C... hiện toàn bộ
Scalable RDF data compression with MapReduce Tập 25 Số 1 - Trang 24-39 - 2013
Jacopo Urbani, Jason Maassen, Niels Drost, F.J. Seinstra, Henri E. Bal
SUMMARYThe Semantic Web contains many billions of statements, which are released
using the resource description framework (RDF) data model. To better handle
these large amounts of data, high performance RDF applications must apply a
compression technique. Unfortunately, because of the large input size, even this
compression is challenging. In this paper, we propose a set of distributed
MapReduce a... hiện toàn bộ
A data‐centered collaboration portal to support global carbon‐flux analysis Tập 22 Số 17 - Trang 2323-2334 - 2010
D. Agarwal, Marty Humphrey, N. Beekwilder, Keith Jackson, M. Goode, Catharine van Ingen
AbstractCarbon‐climate, like other environmental sciences, has been changing.
Large‐scale synthesis studies are becoming more common. These synthesis studies
are often conducted by science teams that are geographically distributed and on
data sets that are global in scale. A broad array of collaboration and data
analytics tools are now available that could support these science teams.
However, bui... hiện toàn bộ
Task scheduling in Internet of Things cloud environment using a robust particle swarm optimization Tập 32 Số 2 - 2020
Mohammed Zaki Hasan, Hussain M. Al‐Rizzo
SummaryInternet of Things (IoT) is steadily growing in support of current and
projected real‐time distributed Internet applications in civilian and military
applications, while Cloud Computing has the ability to meet the performance
expectations of these applications. In this paper, we present the implementation
of logistics management applications relying on cooperative resources with
optimized p... hiện toàn bộ
Big data and sentiment analysis: A comprehensive and systematic literature review Tập 32 Số 14 - 2020
Mahdi Hajiali
SummarySentiment analysis can extract information from many text sources such as
reviews, news, and blogs; then it classifies them based on their polarity.
Moreover, big data is produced via mobile networks and social media.
Applications of sentiment analysis on big data are used as a way of classifying
the opinions into diverse sentiment. Accordingly, performing sentiment analysis
on big data can... hiện toàn bộ