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Driving big data with big compute

Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Matthew Hubbell, Jeremy Kepner, Andrew McCabe, Peter Michaleas, Julie Mullen, David O'Gwynn, Andrew Prout, Albert Reuther (+2 others)
2012 2012 IEEE Conference on High Performance Extreme Computing  
Bringing the big data and big compute communities together is an active area of research.  ...  Big Data (as embodied by Hadoop clusters) and Big Compute (as embodied by MPI clusters) provide unique capabilities for storing and processing large volumes of data.  ...  When dealing with big data there are many hurdles: data capture, storage, search, sharing, analytics and visualization.  ... 
doi:10.1109/hpec.2012.6408678 dblp:conf/hpec/ByunABBHKMMMOPRRY12 fatcat:4rculcndufdlvmzvns62nf7uo4

Big data and cloud computing

Divyakant Agrawal, Sudipto Das, Amr El Abbadi
2011 Proceedings of the 14th International Conference on Extending Database Technology - EDBT/ICDT '11  
Though scalable data management has been a vision for more than three decades and much research has focussed on large scale data management in traditional enterprise setting, cloud computing brings its  ...  own set of novel challenges that must be addressed to ensure the success of data management solutions in the cloud environment.  ...  In summary, the quest for conquering the challenges posed by management of big data has led to a plethora of systems.  ... 
doi:10.1145/1951365.1951432 dblp:conf/edbt/AgrawalDA11 fatcat:q3rhtmgrvjhyrlrw3qpxfwa6da

Secure Computation for Big Data [chapter]

Tal Malkin
2013 Lecture Notes in Computer Science  
Protocols for secure computation on big data can provide critical value for many business, medical, legal, and personal applications.  ...  A compelling motivation for making secure computation practical is provided by the burgeoning field of Big Data, representing the deluge of data being generated, collected, and stored all around us.  ...  Protocols for secure computation on big data can provide critical value for many business, medical, legal, and personal applications.  ... 
doi:10.1007/978-3-642-36594-2_20 fatcat:t3qisk63nvenpbei4v5cdtlg3y

Big Data and Cloud Computing [chapter]

Yun Li, Manzhu Yu, Mengchao Xu, Jingchao Yang, Dexuan Sha, Qian Liu, Chaowei Yang
2019 Manual of Digital Earth  
This chapter introduces Digital Earth data sources, analytical methods, and architecture for data analysis and describes how cloud computing supports big data processing in the context of Digital Earth  ...  . 325 9 Big Data and Cloud Computing 327 Variety Data sources include sensors, digitizers, scanners, numerical models, mobile phones, the Internet, videos, emails, and social networks in the context of  ...  Cloud Computing for Big Data Cloud Computing and Other Related Computing Paradigms Grid computing and High Performance Computing (HPC) have been utilized for big data analytics.  ... 
doi:10.1007/978-981-32-9915-3_9 fatcat:n4drlq63tvfczbvfaopvkkhec4

Exascale computing and big data

Daniel A. Reed, Jack Dongarra
2015 Communications of the ACM  
in big data and cloud computing.  ...  Computational models of astrophysical phenomena, on temporal and spatial scales as di-Exascale Computing and Big Data key insights ˽ The tools and cultures of highperformance computing and big data analytics  ...  of exascale computing and big data analysis.  ... 
doi:10.1145/2699414 fatcat:d3lyhp4hyveefoq4y3ganonqiu

Enabling Global Big Data Computations

Damianos Chatziantoniou, Panos Louridas
2018 International Workshop on Data Warehousing and OLAP  
Currently, the columns of a dataframe contain computations or data found within the data infrastructure of the organization. We propose to extend the concept of a column.  ...  Most analytics projects focus on the management of the 3Vs of big data and use specific stacks to support this variety.  ...  Once the output of big data computations (from simple SQL queries to complex predictive models) can be standardized and accessed globally, anyone can use it in his own analysis framework.  ... 
dblp:conf/dolap/ChatziantoniouL18 fatcat:x7wi5tdwsbgpfpw7tpa7jsmnqq

Big data and cloud computing

Divyakant Agrawal, Sudipto Das, Amr El Abbadi
2010 Proceedings of the VLDB Endowment  
His research interests lie in the area of scalable data management in cloud computing infrastructures.  ...  Agrawal's research expertise is in the areas of database systems, distributed computing, data warehousing, and large-scale information systems.  ...  This tutorial aims to clarify some of the critical concepts in the design space of big data and cloud computing such as: the appropriate systems for a specific set of application requirements, the research  ... 
doi:10.14778/1920841.1921063 fatcat:zx5m4yzsm5bj5g4m53k6ptqrsi

Big Data and Fog Computing [chapter]

Yogesh Simmhan
2018 Encyclopedia of Big Data Technologies  
This article explores various aspects of fog computing in the context of big data.  ...  They have more compute capacity than the edge but much less so than cloud data centers. They typically have high uptime and always-on Internet connectivity.  ...  Role of Big Data One of the key rationales for deploying and using fog computing is Big Data generated at the edge of the network. This is accelerated by IoT deployments.  ... 
doi:10.1007/978-3-319-63962-8_41-1 fatcat:zs7bkyqsbnd2bgqzbo36ozoi24

Big Data [chapter]

Roberto Zicari
2013 Big Data Computing  
6 What is Big Data supposed to create?  ...  (Paul Miller) 14 Challenges Data • Velocity (reacting to the flood of information in the time required by the application) Stream computing: e.g.  ...  computers,GPS devices, cell phones, and medical devices.  ... 
doi:10.1201/b16014-5 fatcat:dmmykohmnbhdfftho4sxl2uf2m

Digital, big data and computational forensics

Zeno Geradts
2018 Forensic Sciences Research  
Definition of big data Many definitions of big data have been offered in the literature [13] , and most incorporate the volume, variety, and velocity of the data generated as well as the velocity of the  ...  Moreover, data can be misinterpreted and false conclusions drawn based on an analysis of trends in big data.  ... 
doi:10.1080/20961790.2018.1500078 pmid:30483667 pmcid:PMC6201797 fatcat:273jz5z3xnde3fslzq3rw57rxi

Big Data Technologies and Cloud Computing [chapter]

Wenhong Tian, Yong Zhao
2015 Optimized Cloud Resource Management and Scheduling  
that can be burrowed for accommodating data.  ...  With the reducing in the cost of capacity limit and estimation, it has wound up workable for dares to use this data to benefit.  ...  new data.  ... 
doi:10.1016/b978-0-12-801476-9.00002-1 fatcat:qgmctjzrkvbjddnrgxmprk6rna

The anatomy of big data computing

Raghavendra Kune, Pramod Kumar Konugurthi, Arun Agarwal, Raghavendra Rao Chillarige, Rajkumar Buyya
2015 Software, Practice & Experience  
This paper discusses the evolution of big data computing, differences between traditional data warehousing and big data, taxonomy of big data computing and underpinning technologies, integrated platform  ...  Big data computing demands a huge storage and computing for data curation and processing that could be delivered from on-premise or clouds infrastructures.  ...  This work is partially supported by the Future Fellowship project of the Australian Research Council and Melbourne-Chindia Cloud Computing (MC 3 ) Research Network.  ... 
doi:10.1002/spe.2374 fatcat:pe57kzvunrf7blpbm7cpwliysu

Cloud Computing in Managing Big Data

Terry Mungai
2018 European Journal of Engineering and Technology Research  
The purpose of this paper is to evaluate ways and means of how Cloud Computing in Managing Big Data can be advantageous in storing, analyzing and extracting useful information.  ...  As the world becomes technologically advanced, so has the collection and accumulation of big data. With this comes the perceived vision that cloud computing will become inevitable in the near future.  ...  Data Centers Cloud Computing in Managing Big Data Cloud data centers are on the rise as we witness big companies like Microsoft, IBM and google compete to launch data centers [8] .  ... 
doi:10.24018/ejeng.2016.1.6.221 fatcat:t5ev7alcnzconmvyqc54rhizwq

Big data and extreme-scale computing

M Asch, T Moore, R Badia, M Beck, P Beckman, T Bidot, F Bodin, F Cappello, A Choudhary, B de Supinski, E Deelman, J Dongarra (+27 others)
2018 The international journal of high performance computing applications  
Over the past four years, the Big Data and Exascale Computing (BDEC) project organized a series of five international workshops that aimed to explore the ways in which the new forms of data-centric discovery  ...  methods for analyzing and using that data are radically reshaping the landscape of scientific computing.  ...  They would also gratefully acknowledge all the following sponsors who supported the big data and exascale computing workshop series: Government Sponsors: US Department of Energy, the National Science Foundation  ... 
doi:10.1177/1094342018778123 fatcat:vwrrxmad4rhtppq6ioaz4h5q7a

Big Data Methods for Computational Linguistics

Gerhard Weikum, Johannes Hoffart, Ndapandula Nakashole, Marc Spaniol, Fabian M. Suchanek, Mohamed Amir Yosef
2012 IEEE Data Engineering Bulletin  
The availability of big data, from the Web and other sources, has changed this situation. Harnessing these assets requires scalable methods for data and text analytics.  ...  This paper gives an overview on our recent work that utilizes big data methods for enhancing semantics-centric tasks dealing with natural language texts.  ...  The following two examples illustrate how such big data assets can contribute to advanced tasks in computational linguistics.  ... 
dblp:journals/debu/WeikumHNSSY12 fatcat:vmtel42ji5dfrebgn3ekt4lude
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