Concurrency Computation Practice and Experience
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Task scheduling in Internet of Things cloud environment using a robust particle swarm optimization
Concurrency Computation Practice and Experience - Tập 32 Số 2 - 2020
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...
A data‐centered collaboration portal to support global carbon‐flux analysis
Concurrency Computation Practice and Experience - Tập 22 Số 17 - Trang 2323-2334 - 2010
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...
Identity authentication for edge devices based on zero‐trust architecture
Concurrency Computation Practice and Experience - Tập 34 Số 23 - 2022
SummaryDevice identity authentication is the first line of defense for edge
computing security mechanisms. Many authentication schemes are often accompanied
by high communication and computational overhead. In addition, due to the
continuous enhancement of network virtualization and dynamics, the security
requirements for logical boundaries of many enterprise information systems
“cloudification,” ...
Scalable RDF data compression with MapReduce
Concurrency Computation Practice and Experience - Tập 25 Số 1 - Trang 24-39 - 2013
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...
Multihop routing protocols on wireless ad hoc sensor networks with modified MAC layer and broadcasting scheme
Concurrency Computation Practice and Experience - Tập 33 Số 2 - 2021
SummaryMost sensor devices are equipped with local batteries, placing a
limitation on available energy, assuming that replacement of batteries is not
feasible. This constraint limits the operation time of sensor networks. In many
scenarios, sensors are operating in remote or dangerous areas, and it is
impractical to replace or recharge the battery of the sensors. In some
scenarios, such as machine...
Big data and sentiment analysis: A comprehensive and systematic literature review
Concurrency Computation Practice and Experience - Tập 32 Số 14 - 2020
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...
FRAMESELF: an ontology‐based framework for the self‐management of machine‐to‐machine systems
Concurrency Computation Practice and Experience - Tập 27 Số 6 - Trang 1412-1426 - 2015
SummaryMachine‐to‐machine (M2M) systems need to connect thousands of
heterogeneous machines that are widely distributed and frequently evolve
according to their environment changes. Keeping such systems alive is costly in
terms of time and money. The increasing complexity of M2M communications places
M2M development and research under strain. Autonomic computing paradigm is
widely believed to be a...
A generic parallel pattern interface for stream and data processing
Concurrency Computation Practice and Experience - Tập 29 Số 24 - 2017
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...
Parallelizing dense and banded linear algebra libraries using SMPSs
Concurrency Computation Practice and Experience - Tập 21 Số 18 - Trang 2438-2456 - 2009
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...
Condensed forms for the symmetric eigenvalue problem on multi‐threaded architectures
Concurrency Computation Practice and Experience - Tập 23 Số 7 - Trang 694-707 - 2011
AbstractWe investigate the performance of the routines in LAPACK and the
Successive Band Reduction (SBR) toolbox for the reduction of a dense matrix to
tridiagonal form, a crucial preprocessing stage in the solution of the symmetric
eigenvalue problem, on general‐purpose multi‐core processors. In response to the
advances of hardware accelerators, we also modify the code in the SBR toolbox to
accel...
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