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Tutorial on big spectrum data analytics for space information networks
2018
EURASIP Journal on Wireless Communications and Networking
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In this paper, we propose to empower SIN with big spectrum data analytics for dynamic spectrum sharing, real-time spectrum monitoring, and intelligent spectrum control. ...
Space information network (SIN) is an integrated network system of various space information platforms (e.g., satellites, stratospheric airships, manned or unmanned aerial vehicles) to enable real-time ...
Zhiyong Du, and Changju Kan for their helpful discussions. This work is a significant extension work of the authors' technical report in [42] . ...
doi:10.1186/s13638-018-1269-0
fatcat:tysynrkytnbwdbci7xrbvoyfse
Big Spectrum Data: The New Resource for Cognitive Wireless Networking
[article]
2014
arXiv
pre-print
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We then present a high-level tutorial on research frontiers in Big Spectrum Data analytics to guide the development of practical algorithms. ...
We also highlight Big Spectrum Data as the new resource for cognitive wireless networking by presenting the emerging use cases. ...
First we analyze the key characteristics of Big Spectrum Data in detail. We then present a high-level tutorial on research frontiers in Big Spectrum Data analytics. ...
arXiv:1404.6508v1
fatcat:35dgqsqvcbaf5ohpgw2eaht6la
Speedup your analytics
2019
Proceedings of the VLDB Endowment
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Database and big data analytics systems such as Hadoop and Spark have a large number of configuration parameters that control memory distribution, I/O optimization, parallelism, and compression. ...
In this tutorial, we review existing approaches on automatic parameter tuning for databases, Hadoop, and Spark, which we classify into six categories: rule-based, cost modeling, simulation-based, experiment-driven ...
in big data analytics systems. ...
doi:10.14778/3352063.3352112
fatcat:umll4pn3dzgkhj3pnse32bzv3i
Machine learning meets big spatial data
2019
Proceedings of the VLDB Endowment
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In this 90-minutes tutorial, we comprehensively review the state-of-the-art work in the intersection of machine learning and big spatial data. ...
The applications of big spatial data span a wide spectrum of interests including tracking infectious disease, climate change simulation, drug addiction, among others. ...
Another previous VLDB tutorial focused on big spatial data management [10] . ...
doi:10.14778/3352063.3352115
fatcat:sylnnpr4hzgrhe6otfqrbtyr2a
The Challenges of Global-scale Data Management
2016
Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16
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Therefore, data management problems must be revisited to account for the new design space. ...
In this tutorial we survey recent developments in GSDM focusing on identifying fundamental challenges and advancements in addition to open research opportunities. ...
His current research work is in the areas of global-scale data management, big data analytics, and data management on emerging non-volatile memory technology. ...
doi:10.1145/2882903.2912571
dblp:conf/sigmod/NawabAA16
fatcat:4ja2phoh7zajxnckcupa25o65y
Caching at the Web Scale
2017
Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion
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A single user's social network page load requires hundreds of key lookups. This scale creates many design challenges for the underlying storage systems. ...
Third, users consume an order of magnitude more data than they produce. Therefore, storage systems have to be optimized for read-intensive workloads. ...
TUTORIAL INFORMATION This is a half day tutorial targeting researchers, designers, and practitioners interested in systems and infrastructure research for big data management and processing. ...
doi:10.1145/3041021.3051098
dblp:conf/www/ZakharyAA17
fatcat:6buxxkob6rh7tmii36xwuy7sqq
Caching at the web scale
2017
Proceedings of the VLDB Endowment
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A single user's social network page load requires hundreds of key lookups. This scale creates many design challenges for the underlying storage systems. ...
Third, users consume an order of magnitude more data than they produce. Therefore, storage systems have to be optimized for read-intensive workloads. ...
TUTORIAL INFORMATION This is a half day tutorial targeting researchers, designers, and practitioners interested in systems and infrastructure research for big data management and processing. ...
doi:10.14778/3137765.3137831
fatcat:bg45qqbtsncovfx34wdk22gn6m
Mobile Data Management in Indoor Spaces
2015
2015 16th IEEE International Conference on Mobile Data Management
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The goal is to provide an overview of the emerging field of indoor data management with a particular emphasis on mobile systems. ...
This advanced seminar presents the fundamental mobile data management concepts behind the realization of innovative indoor information services that deal with all aspects of handling indoor data as a valuable ...
In the second part of the seminar, we will particularly focus on mobile data management concepts for modeling indoor spaces, distance measures, query processing and analytics as well as markup languages ...
doi:10.1109/mdm.2015.32
dblp:conf/mdm/LaoudiasZ15
fatcat:3had32ajavhq7ozu73teygy7mu
Big Data Analytics in Mobile Cellular Networks
2016
IEEE Access
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Then, we present an architectural framework for applying the big data analytics in the mobile cellular networks. ...
Finally, we discuss a number of open research challenges of the big data analytics in the mobile cellular networks. INDEX TERMS Big data analytics, mobile cellular networks. ...
division multiplexing all-optical networking, optical packet switching, automatic switched optical network, and interference alignment in cognitive radio. ...
doi:10.1109/access.2016.2540520
fatcat:rfdxpxx6w5aitlzyuaqx7f3ty4
IEEE CCNC 2013 showcases innovative consumer information and communications technologies to thousands of conference & CES 2013 attendees
2013
IEEE Communications Magazine
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Park focused on the core concepts of big data, smart connectivity, and the impact of rapid pace technological changes on user experiences. ...
White Space." ...
doi:10.1109/mcom.2013.6476855
fatcat:6vcfiihm6jhxlgmee27zepavr4
Editorial: First Quarter 2019 IEEE Communications Surveys and Tutorials
2019
IEEE Communications Surveys and Tutorials
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Thus, it is significant to conduct a deep-insight survey on the categories of security data and data analytics for network attack detection. ...
Based on the usage of data categories and the types of data analytic methods, the paper thoroughly reviews current detection methods for Distributed Denial of Service (DDoS) flooding and worm attacks by ...
doi:10.1109/comst.2019.2896498
fatcat:kxwyuhulqne37hbhzctwivcjsi
The 23rd IEEE International Conference on Intelligent Transportation Systems (Virtual) [Conference Reports]
2021
IEEE Intelligent Transportation Systems Magazine
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In addition to traditional topics such as advanced driver assistance systems, automated driving, traffic modeling and simulation, data analytics, control algorithms and techniques, multimodal transport ...
This article reports the main scientific and technical outcomes of the 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC2020). ...
The tutorials were considered very informative and useful for the participants. ...
doi:10.1109/mits.2021.3066014
fatcat:xenlcsdyp5cbxny2vb3hjrwuhe
Editorial: Fourth Quarter 2015 IEEE Communications Surveys and Tutorials
2015
IEEE Communications Surveys and Tutorials
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Moreover, the paper explores the relation between the IoT and other emerging technologies including big data analytics and cloud and fog computing. ...
The paper titled "A Data Management Perspective on Vehicular Networks" by Sergio Ilarri, Thierry Delot, and Raquel Trillo-Lado presents a comprehensive survey on data management for vehicular networks. ...
doi:10.1109/comst.2015.2495008
fatcat:n3pvj2nvm5hxncj5oxqcd7cbvy
Editorial: Second Quarter 2021 IEEE Communications Surveys and Tutorials
2021
IEEE Communications Surveys and Tutorials
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In this context, the article titled "Internet of Underwater Things and Big Marine Data Analytics-A Comprehensive Survey" by Mohammad Jahanbakht, Wei Xiang, Lajos Hanzo, and Mostafa Rahimi Azghadi presents ...
Then, the issues of Big Marine Data (BMD) acquisition and processing are surveyed. ...
doi:10.1109/comst.2021.3078013
fatcat:5sqcayv4njgyhe6sqeryw4h5na
Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101)
2015
Dagstuhl Reports
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This seminar is a successor to Dagstuhl seminar 12081 "Information Visualization, Visual Data Mining and Machine Learning" held in 2012. ...
This report documents the program and the outcomes of Dagstuhl Seminar 15101 "Bridging Information Visualization with Machine Learning". ...
With the advent of big data and distributed sensors, data sets and analysis tasks become ever more complex: data sources are heterogeneous, data are distributed, and massive volumes have to be addressed ...
doi:10.4230/dagrep.5.3.1
dblp:journals/dagstuhl-reports/KeimMRV15
fatcat:tkowwfgn5baonczdk24lus5sea
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