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Networking for Big Data: A Survey

Version 2 2024-06-05, 05:27
Version 1 2017-03-31, 14:16
journal contribution
posted on 2024-06-05, 05:27 authored by S Yu, M Liu, W Dou, X Liu, S Zhou
Complementary to the fancy big data applications, networking for big data is an indispensable supporting platform for these applications in practice. This emerging research branch has gained extensive attention from both academia and industry in recent years. In this new territory, researchers are facing many unprecedented theoretical and practical challenges. We are therefore motivated to solicit the latest works in this area, aiming to pave a comprehensive and solid starting ground for interested readers. We first clarify the definition of networking for big data based on the cross disciplinary nature and integrated needs of the domain. Second, we present the current understanding of big data from different levels, including its formation, networking features, mathematical representations, and the networking technologies. Third, we discuss the challenges and opportunities from various perspectives in this hopeful field. We further summarize the lessons we learned based on the survey. We humbly hope this paper will shed light for forthcoming researchers to further explore the uncharted part of this promising land.

History

Journal

IEEE Communications Surveys and Tutorials

Volume

19

Season

Firstquarter 2017

Pagination

531-549

Location

Piscataway, N.J.

eISSN

1553-877X

Language

English

Publication classification

C Journal article, C1 Refereed article in a scholarly journal

Copyright notice

2016, IEEE

Issue

1

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC