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Big Data, IoT, .... Buzz Words for Academia or Reality for Industry?

Authors:

Hui ZangAuthors Info & Claims

MobiCom '15: Proceedings of the 21st Annual International Conference on Mobile Computing and Networking

Pages 550 - 551

https://doi.org/10.1145/2789168.2802150

Published: 07 September 2015 Publication History

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Abstract

The concepts of Big Data have became intertwined with those of the Internet of Things, creating mental pictures of a fully connected, all-encompassing, cyber-physical world, where each and every object will contribute with information to a "fully aware" society. Academic works are presenting this as the natural evolution for our current technologies. The panel looks at these promises from the hard perspective of reality: what is being done, how much it cost, what needs to be developed, and what can be expected in the near and mid-term.

Cited By

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Ganesan MKor APattinson CRondeau E(2020)Green Cloud Software Engineering for Big Data ProcessingSustainability10.3390/su1221925512:21(9255)Online publication date: 7-Nov-2020
https://doi.org/10.3390/su12219255
Dong WLi BGuan GCheng ZZhang JGao Y(2020)TinyLinkACM Transactions on Sensor Networks10.1145/341236617:1(1-29)Online publication date: 27-Sep-2020
https://dl.acm.org/doi/10.1145/3412366
Sánchez Guerrero JCarrillo Ríos SGarcía Herrera DMocha-Bonilla J(2020)Cryptographic Systems and Threats in e-CommerceInternet of Things, Infrastructures and Mobile Applications10.1007/978-3-030-49932-7_47(492-506)Online publication date: 10-Sep-2020
https://doi.org/10.1007/978-3-030-49932-7_47
Show More Cited By

Index Terms

Big Data, IoT, .... Buzz Words for Academia or Reality for Industry?
1. Information systems
  1. Information retrieval
  2. Information storage systems
2. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

MobiCom '15: Proceedings of the 21st Annual International Conference on Mobile Computing and Networking

September 2015

638 pages

ISBN:9781450336192

DOI:10.1145/2789168

General Chairs:
Serge Fdida
UPMC/LIP6, France
,
Giovanni Pau
UPMC/LIP6, France
,
Program Chairs:
Sneha Kumar Kasera
University of Utah, USA
,
Heather Zheng
University of California, Santa Barbara, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2015

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MobiCom'15

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SIGMOBILE

MobiCom'15: The 21th Annual International Conference on Mobile Computing and Networking

September 7 - 11, 2015

Paris, France

Acceptance Rates

MobiCom '15 Paper Acceptance Rate 38 of 207 submissions, 18%;

Overall Acceptance Rate 440 of 2,972 submissions, 15%

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Cited By

View all

Ganesan MKor APattinson CRondeau E(2020)Green Cloud Software Engineering for Big Data ProcessingSustainability10.3390/su1221925512:21(9255)Online publication date: 7-Nov-2020
https://doi.org/10.3390/su12219255
Dong WLi BGuan GCheng ZZhang JGao Y(2020)TinyLinkACM Transactions on Sensor Networks10.1145/341236617:1(1-29)Online publication date: 27-Sep-2020
https://dl.acm.org/doi/10.1145/3412366
Sánchez Guerrero JCarrillo Ríos SGarcía Herrera DMocha-Bonilla J(2020)Cryptographic Systems and Threats in e-CommerceInternet of Things, Infrastructures and Mobile Applications10.1007/978-3-030-49932-7_47(492-506)Online publication date: 10-Sep-2020
https://doi.org/10.1007/978-3-030-49932-7_47
Guan GDong WGao YFu KCheng ZVan der Merwe KGreenstein BSrinivasan K(2017)TinyLinkProceedings of the 23rd Annual International Conference on Mobile Computing and Networking10.1145/3117811.3117825(383-395)Online publication date: 4-Oct-2017
https://dl.acm.org/doi/10.1145/3117811.3117825

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Security Challenges for Big Data and IoT

A systematic survey of data mining and big data analysis in internet of things

Deep learning and big data technologies for IoT security

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