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A Taxonomy on Big Data: Survey [article]

Ripon Patgiri
2019 arXiv   pre-print
The Big Data are used to boost up the organization performance using massive amount of dataset. The Data are assets of the organization, and these data gives revenue to the organizations.  ...  Therefore, the Big Data is spawning everywhere to enhance the organizations' revenue. Thus, many new technologies emerging based on Big Data. In this paper, we present the taxonomy of Big Data.  ...  Besides, machine learning algorithms are integrated with Big Data. As a consequence, the Big Data Analytics is born.  ... 
arXiv:1808.08474v3 fatcat:mxnvemtv75akvhq4643b4q4lne

A Survey on Vertical and Horizontal Scaling Platforms for Big Data Analytics

Ahmed Hussein Ali, ICCI, Informatics Institute for Postgraduate Studies, Baghdad, IRAQ, Mahmood Zaki Abdullah, Department of Computer Engineering, Al-Mustansiriyah University, Baghdad, IRAQ
2019 International Journal of Integrated Engineering  
Multicore CPU A multi-core processor is a modern technology based on the improvements in processor and network technologies.  ...  Additionally, the combination of machine learning with modern big data platforms also needs to be investigated.  ... 
doi:10.30880/ijie.2019.11.06.015 fatcat:qbtbeq6ukbe5pmpmgkld3r33fe

Towards Intelligent Distributed Data Systems for Scalable Efficient and Accurate Analytics

Peter Triantafillou
2018 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)  
In parallel, modern scalable data systems (e.g., [10] - [12] ) were contributed.  ...  -the holy grail of modern big data science.  ... 
doi:10.1109/icdcs.2018.00119 dblp:conf/icdcs/Triantafillou18 fatcat:a7ttudrynnhhfn247rw7wnxsd4

Serverless Predictions: 2021-2030 [article]

Pedro Garcia Lopez, Aleksander Slominski, Michael Behrendt, Bernard Metzler
2021 arXiv   pre-print
ACKNOWLEDGMENT This work has been partially supported by the EU Horizon2020 programme under grant agreement No 825184.  ...  His main research interests are in enhancing network and storage IO of distributed systems, and the integration of modern high performance IO hardware with distributed applications.  ...  As we can see in table 1, current data center networks already enable disk storage disaggregation, where reads from local disk are comparable (10ms) to reads over the network.  ... 
arXiv:2104.03075v1 fatcat:n4sy6hletzawthgicnopcicr6q

Research Challenges and Technology Progress of Data Mining with Bigdata

Pushpa Mannava
2019 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
This paper discusses about the research challenges and technology progress of data mining with big data.  ...  We have to highlight that Big Data does not simply imply huge volumes of data but likewise the requirement for scalability, i.e., to make sure a response in an acceptable elapsed time.  ...  Additionally, there is not much support for in-database statistics as well as modeling, and also several DM programmers might not fit with the SQL declarative style.  ... 
doi:10.32628/cseit206274 fatcat:czeyl23uq5dl3m4ddcpnu3nnlu

The Road to Big Data Standardisation [chapter]

Ray Walshe
2021 The Elements of Big Data Value  
Finally, the chapter closes with future trends for big data standardisation.  ...  AbstractThis chapter covers the critical topic of standards within the area of big data.  ...  Acknowledgements This chapter is supported in part by the ADAPT SFI Centre for Digital Content Technology, which is funded under the SFI Research Centres Programme (Grant 13/RC/ 2106) and is co-funded  ... 
doi:10.1007/978-3-030-68176-0_14 fatcat:kx4oudr2lndmdjkamu5u33quvi

CIRCA-GPUs: Increasing Instruction Reuse Through Inexact Computing in GP-GPUs

Abbas Rahimi, Luca Benini, Rajesh K. Gupta
2016 IEEE design & test  
Modern applications including graphics, multimedia, web search, and data analytics offer massive parallelism and significant degrees of tolerance to inexact computing.  ...  A general-purpose programmable parallel architecture, such as those found in the general-purpose graphics processing units (GP-GPUs), can jointly exploit these two key application characteristics to improve  ...  Modern applications including graphics, multimedia, web search, and data analytics offer massive parallelism and significant degrees of tolerance to inexact computing.  ... 
doi:10.1109/mdat.2015.2497334 fatcat:z456aqc2sffm5nvud2fsabrrti

Wireless communications in the era of big data

Suzhi Bi, Rui Zhang, Zhi Ding, Shuguang Cui
2015 IEEE Communications Magazine  
On the other hand, instead of viewing mobile bigdata as a unwanted burden, we introduce methods to capitalize from the vast data traffic, for building a bigdata-aware wireless network with better wireless  ...  In this article, we discuss the challenges and opportunities in the design of scalable wireless systems to embrace such a "bigdata" era.  ...  Software-defined network (SDN): An SDN replaces conventional hardware-configured routing and forwarding devices with software programmable units.  ... 
doi:10.1109/mcom.2015.7295483 fatcat:mftg24thgfeyjn7xlebj7yfzsm

Recent Trends and Improvisations in FPGA

M. Joy Daniel, K. Siva Kumar M.E.
2017 IOSR Journal of Electrical and Electronics Engineering  
With the improvements of VLSI design in FPGA, the application areas got wider. The FPGAs architectural developments afford FPGA developers to produce effective devices day-by-day.  ...  This paper also revealed some features in cloud computing using wavelength division multiplexing (WDM), optical network and silicon photonics.  ...  Conclusion Since their introduction in 1985, field programmable gate arrays (FPGAs) have become significant role in the electronics industry.  ... 
doi:10.9790/1676-1203027177 fatcat:isael7icofgcxosiszjm5k6dv4

Back to Thin-Core Massively Parallel Processors

Ami Marowka
2011 Computer  
Software architects are looking for new approaches to dealing with various pitfalls and issues such as data dependency, race conditions, load balancing, nondeterminism, and deadlocks.  ...  In addition, they are researching advanced parallel programming paradigms that will allow the construction of easy-to-use, productive, energy-efficient, scalable, and portable parallel applications. 2  ...  This approach achieves high scalability with simple, low-overhead thread management and no cache-coherence hardware requirements.  ... 
doi:10.1109/mc.2011.133 fatcat:5zuo7tuq3feq5lxwypw5kartey

Large Scale Graph Processing in a Distributed Environment [chapter]

Nitesh Upadhyay, Parita Patel, Unnikrishnan Cheramangalath, Y. N. Srikant
2018 Lecture Notes in Computer Science  
Experimental evaluations show efficiency and scalability of our framework.  ...  Existing frameworks do not deal with the accelerator clusters. We propose a framework which addresses the previously stated deficiencies.  ...  -Communication: At the end of the computation, nodes communicate with each other. -Synchronization: Each node synchronizes its local data with the received data.  ... 
doi:10.1007/978-3-319-75178-8_38 fatcat:gmozi7xbdnfyzerzesccgtdiiq

Enabling technologies for future data center networking: a primer

Min Chen, Hai Jin, Yonggang Wen, V. C. M. Leung
2013 IEEE Network  
Also, SDN-enabled networks in DCNs can be adaptively provisioned to boost data throughput for specific applications for reserved time periods.  ...  Software-Defined Networking Switch GatorCloud [15] was proposed to leverage the flexibility of software-defined networking (SDN) techniques to dramatically boost DCNs to over 100 Gb/s bandwidth with cutting-edge  ...  Figure 4 . 4 Big data analytics application deployment: a) big data analytic reference architecture; b) big data performance.  ... 
doi:10.1109/mnet.2013.6574659 fatcat:s23pbjnqlzc6vmpapuz5heyvwm

Graph of Virtual Actors (GOVA): a Big Data Analytics Architecture for IoT [article]

The-Hien Dang-Ha, Davide Roverso, Roland Olsson
2017 arXiv   pre-print
in terms of computation, data storage, caching requirements, and programmability of the system.  ...  With the emergence of cloud computing and sensor technologies, Big Data analytics for the Internet of Things (IoT) has become the main force behind many innovative solutions for our society's problems.  ...  He has provided insight and expertise that greatly assisted the study, although he may not agree with all of the interpretations/conclusions of this paper.  ... 
arXiv:1703.02510v1 fatcat:ronlnmejxnaxloeqcqfnwuoptu

Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey

Giang Nguyen, Stefan Dlugolinsky, Martin Bobák, Viet Tran, Álvaro López García, Ignacio Heredia, Peter Malík, Ladislav Hluchý
2019 Artificial Intelligence Review  
It also provides an overview of massive parallelism support that is capable of scaling computation effectively and efficiently in the era of Big Data.  ...  This survey presents a recent time-slide comprehensive overview with comparisons as well as trends in development and usage of cutting-edge Artificial Intelligence software.  ...  DEEP-HybridDataCloud "Designing and Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud" that has received funding from the European Union's Horizon 2020 Research and Innovation Programme  ... 
doi:10.1007/s10462-018-09679-z fatcat:ueffoypwlva4ndo35g5gzfrpcy

Hardware Acceleration of Computer Vision and Deep Learning Algorithms on the Edge using OpenCL

B. Mishra, D. Chakraborty, S. Makkadayil, S. Patil, B. Nallani
2019 EAI Endorsed Transactions on Cloud Systems  
This work proposes a low-cost, scalable, compute-at-the-edge solution using FPGA and OpenCL.  ...  Machine vision using CNN is a key application in Industrial automation environment, enabling real time as well as offline analytics.  ...  Factors such as variable latency of data transfer and data privacy make a cloud solution for such analytics unfavourable.  ... 
doi:10.4108/eai.5-11-2019.162597 fatcat:2grwelq3dvft3f7xot47pbdwte
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