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Special issue on big data for IoT cloud computing convergence

Z.X. Hou, Y. Xiao, Z.X. Hou, Y. Xiao
2019 Web Intelligence: an international journal  
• 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

Florin Pop, Alexandru Iosup, Radu Prodan
2018 Future generations computer systems  
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

Ching-Hsien Hsu, Geoffrey Fox, Geyong Min, Sugam Sharma
2019 Journal of Supercomputing  
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

Y. Xiao, Y. Cheng, Y.J. Fang
2015 Chemical Engineering Transactions  
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  
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

Lijun Cai, Xiangqing Guan, Peng Chi, Lei Chen, Jianting Luo
2015 International Journal of Distributed Sensor Networks  
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]

Mary Hall, Robert M. Kirby, Feifei Li, Miriah Meyer, Valerio Pascucci, Jeff M. Phillips, Rob Ricci, Jacobus Van der Merwe, Suresh Venkatasubramanian
2013 arXiv   pre-print
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

Weiping Ding, Gary G. Yen, Gleb Beliakov, Isaac Triguero, Mahardhika Pratama, Xiangliang Zhang, Hongjun Li
2019 IEEE Access  
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

Arun Kumar Sangaiah, Ford Lumban Gaol, Krishn K. Mishra
2020 Intelligent Automation and Soft Computing  
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

Junfei Qiu, Qihui Wu, Guoru Ding, Yuhua Xu, Shuo Feng
2016 EURASIP Journal on Advances in Signal Processing  
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

Anna Kobusińska, Ching-Hsien Hsu
2016 Foundations of Computing and Decision Sciences  
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

Makrufa Sharif Hajirahimova, Aybeniz Salman Aliyeva
2015 Eastern-European Journal of Enterprise Technologies  
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

Mianxiong Dong, Vincenzo Piuri, Shueng-Han Gary Chan, Ramesh Jain
2016 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
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

Xueqiang Yin, Athreya Tao Chen
2020 International journal of advanced information and communication technology  
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

Daniel A. Reed, Jack Dongarra
2015 Communications of the ACM  
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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