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Special issue on big data for IoT cloud computing convergence
2019
Web Intelligence: an international journal
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• Advanced theory and technologies for High Performance and Communications with IoT • Clustering with Evolutionary and Swarm Algorithms for Big Data Analytics • Cloud computing and big data analytics ...
Big data refers to the data set that cannot be captured, managed and processed by conventional software tools within a certain period of time. ...
Acknowledgements The Guest Editors would like to express their appreciation to the authors for their high-quality and innovative work. Special thanks to the Editor, Yuefeng Li and Vijay V. ...
doi:10.3233/web-190404
fatcat:lsd5wemlqvftnfa4j5nqtoc25u
HPS-HDS: High Performance Scheduling for Heterogeneous Distributed Systems
2018
Future generations computer systems
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As computing and data storage needs grow exponentially in HDS, increasing the size of data centers brings important diseconomies of scale. ...
Topics include cloud computing and big data, with applications in big science, big business, online gaming, and (upcoming) massivized education. ...
and co-allocation, data-aware scheduling, self-* techniques for high performance scheduling, scheduling in big data platforms, content distribution systems for large data, data-intensive computing applications ...
doi:10.1016/j.future.2017.09.012
fatcat:aqdguozk5jffbjxpfoecskbpv4
Advances in big data programming, system software and HPC convergence
2019
Journal of Supercomputing
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Most real data are high dimensional, such as image data. High-dimensional data significantly increases the time and space requirements and also brings the curse of dimensionality problem. ...
The sustained improvement in the computing capability of high-performance computing (HPC) systems has enabled scientific applications to perform more complex analysis and process larger datasets. ...
doi:10.1007/s11227-018-2706-x
fatcat:ehkbtokau5henf324xukgfhgey
Research on Cloud Computing and Its Application in Big Data Processing of Railway Passenger Flow
2015
Chemical Engineering Transactions
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Finally, the data is trained to be a new SVM by Reduce. ...
In the stage of the development of the railway by the production enterprise to the service enterprise, it is necessary to vigorously promote the application of cloud computing, and to plan the cloud computing ...
In order to verify the performance of the high performance computing system under the background of big data, this paper uses the Hadoop cluster environment is made up of 8 SYSTEM X3850 IBM server, each ...
doi:10.3303/cet1546055
doaj:e8e6f21b58ea43e9a9e9b6cfb19cee1d
fatcat:cox5t2rju5bbzdygrmnlnq56ea
HPC4BD 2014 Workshop Foreword and Program Committee
2014
2014 43rd International Conference on Parallel Processing Workshops
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The workshop aimed to bring high performance computing (HPC) experts and experts from various application domains together to discuss their Big Data problems. ...
The 1st International Workshop on High Performance Computing for Big Data (HPC4BD) is held on September 10, 2014 in concordance with 43rd International Conference on Parallel Processing (ICPP-2014). ...
ACKNOWLEDGEMENTS We thank all the authors for submitting their high-quality work to HPC4BD and their workshop presentations. ...
doi:10.1109/icppw.2014.7
fatcat:zixutf6dw5gv3holqfjg7ezfg4
Big Data Visualization Collaborative Filtering Algorithm Based on RHadoop
2015
International Journal of Distributed Sensor Networks
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In conclusion, the big data visualization algorithm analysis integrated model has high performance to process and visualize the big data. ...
If you are skilled in R, it is easy to design kinds of paralleling algorithms, and analyze and process the kinds of big data. ...
Since the birth of the computer, it is an immortal topic to improve the computing performance and the processing speed of the computer for big data [14, 15] . ...
doi:10.1155/2015/271253
fatcat:bayboicuobg55fqczfvylk4mim
Rethinking Abstractions for Big Data: Why, Where, How, and What
[article]
2013
arXiv
pre-print
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Numerous lessons on the scalability of big data can already be found in asymptotic analysis of algorithms and from the high-performance computing (HPC) and applications communities. ...
Big data refers to large and complex data sets that, under existing approaches, exceed the capacity and capability of current compute platforms, systems software, analytical tools and human understanding ...
So it is paramount that system designers, algorithm experts, and data analysts work closely together to bring forth a new and exciting era of big data computing. ...
arXiv:1306.3295v1
fatcat:oevth47mszev3jm7nd2nxxhrda
IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing
2019
IEEE Access
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The goal of this Special Section in IEEE ACCESS is to provide an opportunity to review the state-of-the-art of the recent data mining and granular computing in big data and knowledge processing, and bring ...
Big data mining relies on distributed computational strategies; it is often impossible to store and process data on one single computing node. ...
doi:10.1109/access.2019.2908776
fatcat:7km2edtcuzeutnwy3pjbvg264e
Guest Editorial: Special Section on Big Data & Analytics Architecture
2020
Intelligent Automation and Soft Computing
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This special issue aims to bring, for academics as well as industrial practitioners, a set of articles discussing the recent patents on core topics of big data processing system, including big data processing ...
algorithm, big data processing system architecture and so on. ...
doi:10.32604/iasc.2020.013928
fatcat:r7h6olsmr5cbdpjzbq4geac4qu
A survey of machine learning for big data processing
2016
EURASIP Journal on Advances in Signal Processing
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There is no doubt that big data are now rapidly expanding in all science and engineering domains. ...
While the potential of these massive data is undoubtedly significant, fully making sense of them requires new ways of thinking and novel learning techniques to address the various challenges. ...
[111] reviewed recent advances in convex optimization algorithms tailored for big data, having as ultimate goal to markedly reduce the computational, storage, and communication bottlenecks. ...
doi:10.1186/s13634-016-0355-x
fatcat:yrrg335535fmnibwu3k4iyzyxm
Guest Editors' Introduction: Special Issue on Big Data Intelligence and Computing
2016
Foundations of Computing and Decision Sciences
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However, the real quality of Big Data is not in not only in its large volumes, high velocity or variety, but also in the ability to turn data into value and to clearly understand which benefits it brings ...
To describe the Big Data phenomenon, the five Vs, namely huge Volume, high Velocity, high Variety, low Veracity and high Value are used [6] . ...
doi:10.1515/fcds-2016-0008
fatcat:yrx72pgctfagxjksxymmyy72xu
Review of statistical analysis methods of high-dimensional data
2015
Eastern-European Journal of Enterprise Technologies
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Big data brings problems to even elementary statistical analysis wherefore the barriers in computer memory and computing time. ...
This approach is very unique design in allowing pervasive access to extract information from large volumes of data without the need for high-performance computing. b. ...
doi:10.15587/1729-4061.2015.51603
fatcat:pa3a7od4szfadfdcvjhjdjo364
Introduction to Special Issue on Multimedia Big Data
2016
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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This special issue starts off with 4 articles concerning the managements and optimizations for better performance and efficiency of multimedia big data computing in cloud data center networks. ...
become a very important field in multimedia big data computing. ...
big data computation and communication. ...
doi:10.1145/2989214
fatcat:nwucnuxpyzbydfgj3kkj4wdco4
A Survey on Service Level Components in Big-Cloud-IoT Systems with Hybrid Meta-heuristic Techniques
2020
International journal of advanced information and communication technology
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To overcome the performance and latency issues in large data computation, big cloud processing system uses edge computing in it. One of the key components of IoT is edge computing. ...
Big data is one such technology. When we receive huge volume of data, there will be high demand in processing the huge data. It can also be said challenging task in big data processing. ...
This process brings the users nearer to cloud. Edge computing improved its nature by working as mobile cloud computing. ...
doi:10.46532/ijaict-2020022
fatcat:bnz7ikbck5hypcu5fechm37uwi
Exascale computing and big data
2015
Communications of the ACM
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As with high-performance computing, a rich ecosystem of hardware and software has emerged for big-data analytics. ...
CRESTA brings together four European high-performance computing centers: Edinburgh Parallel Computing Centre (project lead), the High Per-formance Computing Center Stuttgart, Finland's IT Center for Science ...
High-end data analytics (big data) and high-end computing (exascale) are both essential elements of an integrated computing research-and-development agenda; neither should be sacrificed or minimized to ...
doi:10.1145/2699414
fatcat:d3lyhp4hyveefoq4y3ganonqiu
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