Big Data in 5G Distributed Applications

Valentina Nejkovic; Ari Visa; Milorad Tosic; Nenad Petrovic; Mikko Valkama; Mike Koivisto; Jukka Talvitie; Svetozar Rancic; Daniel Grzonka; Jacek Tchorzewski; Pierre Kuonen; Francisco Gortazar

doi:10.1007/978-3-030-16272-6_5

Big Data in 5G Distributed Applications

Valentina Nejkovic, Ari Visa, Milorad Tosic, Nenad Petrovic, Mikko Valkama, Mike Koivisto, Jukka Talvitie, Svetozar Rancic, Daniel Grzonka, Jacek Tchorzewski, Pierre Kuonen, Francisco Gortazar

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

7 Citations (Scopus)

202 Downloads (Pure)

Abstract

Fifth generation mobile networks (5G) will rather supplement than replace current 4G networks by dramatically improving their bandwidth, capacity and reliability. This way, much more demanding use cases that simply are not achievable with today's networks will become reality - from home entertainment, to product manufacturing and healthcare. However, many of them rely on Internet of Things (IoT) devices equipped with low-cost transmitters and sensors that generate enormous amount of data about their environment. Therefore, due to large scale of 5G systems, combined with their inherent complexity and heterogeneity, Big Data and analysis techniques are considered as one of the main enablers of future mobile networks. In this work, we recognize 5G use cases from various application domains and list the basic requirements for their development and realization.

Original language	English
Title of host publication	High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet
Editors	Joanna Kolodziej, Horacio González-Vélez
Place of Publication	Cham
Publisher	Springer International Publishing
Pages	138-162
Number of pages	25
ISBN (Print)	978-3-030-16272-6
DOIs	https://doi.org/10.1007/978-3-030-16272-6_5
Publication status	Published - 26 Mar 2019
Publication type	A3 Book chapter

Publication series

Name	Lecture Notes in Computer Science
Volume	11400
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Publication forum classification

Publication forum level 1

Access to Document

10.1007/978-3-030-16272-6_5Licence: CC BY

2019_BookFinal published version, 25 MBLicence: CC BY

http://urn.fi/URN:NBN:fi:tuni-202001301654Licence: CC BY

Cite this

Nejkovic, V., Visa, A., Tosic, M., Petrovic, N., Valkama, M., Koivisto, M., Talvitie, J., Rancic, S., Grzonka, D., Tchorzewski, J., Kuonen, P., & Gortazar, F. (2019). Big Data in 5G Distributed Applications. In J. Kolodziej, & H. González-Vélez (Eds.), High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet (pp. 138-162). (Lecture Notes in Computer Science; Vol. 11400). Springer International Publishing. https://doi.org/10.1007/978-3-030-16272-6_5

Nejkovic, Valentina ; Visa, Ari ; Tosic, Milorad et al. / Big Data in 5G Distributed Applications. High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet. editor / Joanna Kolodziej ; Horacio González-Vélez. Cham : Springer International Publishing, 2019. pp. 138-162 (Lecture Notes in Computer Science).

@inbook{79cf15d43d8d4db9ba6ba2635483f133,

title = "Big Data in 5G Distributed Applications",

abstract = "Fifth generation mobile networks (5G) will rather supplement than replace current 4G networks by dramatically improving their bandwidth, capacity and reliability. This way, much more demanding use cases that simply are not achievable with today's networks will become reality - from home entertainment, to product manufacturing and healthcare. However, many of them rely on Internet of Things (IoT) devices equipped with low-cost transmitters and sensors that generate enormous amount of data about their environment. Therefore, due to large scale of 5G systems, combined with their inherent complexity and heterogeneity, Big Data and analysis techniques are considered as one of the main enablers of future mobile networks. In this work, we recognize 5G use cases from various application domains and list the basic requirements for their development and realization.",

author = "Valentina Nejkovic and Ari Visa and Milorad Tosic and Nenad Petrovic and Mikko Valkama and Mike Koivisto and Jukka Talvitie and Svetozar Rancic and Daniel Grzonka and Jacek Tchorzewski and Pierre Kuonen and Francisco Gortazar",

year = "2019",

month = mar,

day = "26",

doi = "10.1007/978-3-030-16272-6_5",

language = "English",

isbn = "978-3-030-16272-6",

series = "Lecture Notes in Computer Science",

publisher = "Springer International Publishing",

pages = "138--162",

editor = "Joanna Kolodziej and Horacio Gonz{\'a}lez-V{\'e}lez",

booktitle = "High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet",

}

Nejkovic, V, Visa, A, Tosic, M, Petrovic, N, Valkama, M, Koivisto, M, Talvitie, J, Rancic, S, Grzonka, D, Tchorzewski, J, Kuonen, P & Gortazar, F 2019, Big Data in 5G Distributed Applications. in J Kolodziej & H González-Vélez (eds), High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet. Lecture Notes in Computer Science, vol. 11400, Springer International Publishing, Cham, pp. 138-162. https://doi.org/10.1007/978-3-030-16272-6_5

Big Data in 5G Distributed Applications. / Nejkovic, Valentina; Visa, Ari; Tosic, Milorad et al.
High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet. ed. / Joanna Kolodziej; Horacio González-Vélez. Cham: Springer International Publishing, 2019. p. 138-162 (Lecture Notes in Computer Science; Vol. 11400).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

TY - CHAP

T1 - Big Data in 5G Distributed Applications

AU - Nejkovic, Valentina

AU - Visa, Ari

AU - Tosic, Milorad

AU - Petrovic, Nenad

AU - Valkama, Mikko

AU - Koivisto, Mike

AU - Talvitie, Jukka

AU - Rancic, Svetozar

AU - Grzonka, Daniel

AU - Tchorzewski, Jacek

AU - Kuonen, Pierre

AU - Gortazar, Francisco

PY - 2019/3/26

Y1 - 2019/3/26

N2 - Fifth generation mobile networks (5G) will rather supplement than replace current 4G networks by dramatically improving their bandwidth, capacity and reliability. This way, much more demanding use cases that simply are not achievable with today's networks will become reality - from home entertainment, to product manufacturing and healthcare. However, many of them rely on Internet of Things (IoT) devices equipped with low-cost transmitters and sensors that generate enormous amount of data about their environment. Therefore, due to large scale of 5G systems, combined with their inherent complexity and heterogeneity, Big Data and analysis techniques are considered as one of the main enablers of future mobile networks. In this work, we recognize 5G use cases from various application domains and list the basic requirements for their development and realization.

AB - Fifth generation mobile networks (5G) will rather supplement than replace current 4G networks by dramatically improving their bandwidth, capacity and reliability. This way, much more demanding use cases that simply are not achievable with today's networks will become reality - from home entertainment, to product manufacturing and healthcare. However, many of them rely on Internet of Things (IoT) devices equipped with low-cost transmitters and sensors that generate enormous amount of data about their environment. Therefore, due to large scale of 5G systems, combined with their inherent complexity and heterogeneity, Big Data and analysis techniques are considered as one of the main enablers of future mobile networks. In this work, we recognize 5G use cases from various application domains and list the basic requirements for their development and realization.

U2 - 10.1007/978-3-030-16272-6_5

DO - 10.1007/978-3-030-16272-6_5

M3 - Chapter

SN - 978-3-030-16272-6

T3 - Lecture Notes in Computer Science

SP - 138

EP - 162

BT - High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet

A2 - Kolodziej, Joanna

A2 - González-Vélez, Horacio

PB - Springer International Publishing

CY - Cham

ER -

Nejkovic V, Visa A, Tosic M, Petrovic N, Valkama M, Koivisto M et al. Big Data in 5G Distributed Applications. In Kolodziej J, González-Vélez H, editors, High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet. Cham: Springer International Publishing. 2019. p. 138-162. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-16272-6_5

Big Data in 5G Distributed Applications

Abstract

Publication series

Publication forum classification

Access to Document

Fingerprint

Cite this