ElasticSDK: A Monitoring Software Development Kit for enabling Data-driven Management and Control in 5G

Xenofon Vasilakos; Berkay Koksal; Dwi Hartati Izaldi; Navid Nikaein; Robert Schmidt; Nasim Ferdosian; Riri Fitri Sari; Ray Guang Cheng

doi:10.1109/NOMS47738.2020.9110373

ElasticSDK: A Monitoring Software Development Kit for enabling Data-driven Management and Control in 5G

Xenofon Vasilakos, Berkay Koksal, Dwi Hartati Izaldi, Navid Nikaein, Robert Schmidt, Nasim Ferdosian, Riri Fitri Sari, Ray Guang Cheng

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

9 Citations (Scopus)

Abstract

5G networks generate massive (quasi-) real-time data streams that different network apps can exploit to implement sophisticated single-or cross-domain control and management logic. This paper presents ElasticSDK, a Software Development Kit specially designed to abstract the development and chaining of such agile 5G monitoring apps for the control, management, and coordination of the underlying 5G network heterogeneous modules. Custom apps can collect, incrementally process and further expose flows in a flexible Pub/Sub fashion via appropriate SDK API calls, thus sharing both raw and complex data flows among themselves. Furthermore, the design of ElasticSDK allows respecting typical 5G data ownership and privacy models, as desired by the different 5G stakeholders ranging from physical infrastructure providers up to service providers over slicing. Finally, we provide two important contributions to the 5G open-source research community: (i) a RAN monitoring prototype implementation over the ElasticSearch and FlexRAN platforms that allows to demonstrate ElasticSDK app development and capturing hierarchical control features of typical SDN-enabled 5G architectures, and (ii) a first-ever publicly available dataset of realistic 5G RAN monitoring traces.

Original language	English
Title of host publication	Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020
Subtitle of host publication	Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9781728149738
DOIs	https://doi.org/10.1109/NOMS47738.2020.9110373
Publication status	Published - Apr 2020
Event	2020 IEEE/IFIP Network Operations and Management Symposium, NOMS 2020 - Budapest, Hungary Duration: 20 Apr 2020 → 24 Apr 2020

Publication series

Name	Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020

Conference

Conference	2020 IEEE/IFIP Network Operations and Management Symposium, NOMS 2020
Country/Territory	Hungary
City	Budapest
Period	20/04/20 → 24/04/20

Keywords

5G mobile communication
network monitoring
SDK

Access to Document

10.1109/NOMS47738.2020.9110373

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Vasilakos, X., Koksal, B., Izaldi, D. H., Nikaein, N., Schmidt, R., Ferdosian, N., Sari, R. F., & Cheng, R. G. (2020). ElasticSDK: A Monitoring Software Development Kit for enabling Data-driven Management and Control in 5G. In Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020 Article 9110373 (Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/NOMS47738.2020.9110373

Vasilakos, Xenofon ; Koksal, Berkay ; Izaldi, Dwi Hartati et al. / ElasticSDK : A Monitoring Software Development Kit for enabling Data-driven Management and Control in 5G. Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020. Institute of Electrical and Electronics Engineers (IEEE), 2020. (Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020).

@inproceedings{84553305dfd9422db8fc568304a5484e,

title = "ElasticSDK: A Monitoring Software Development Kit for enabling Data-driven Management and Control in 5G",

abstract = "5G networks generate massive (quasi-) real-time data streams that different network apps can exploit to implement sophisticated single-or cross-domain control and management logic. This paper presents ElasticSDK, a Software Development Kit specially designed to abstract the development and chaining of such agile 5G monitoring apps for the control, management, and coordination of the underlying 5G network heterogeneous modules. Custom apps can collect, incrementally process and further expose flows in a flexible Pub/Sub fashion via appropriate SDK API calls, thus sharing both raw and complex data flows among themselves. Furthermore, the design of ElasticSDK allows respecting typical 5G data ownership and privacy models, as desired by the different 5G stakeholders ranging from physical infrastructure providers up to service providers over slicing. Finally, we provide two important contributions to the 5G open-source research community: (i) a RAN monitoring prototype implementation over the ElasticSearch and FlexRAN platforms that allows to demonstrate ElasticSDK app development and capturing hierarchical control features of typical SDN-enabled 5G architectures, and (ii) a first-ever publicly available dataset of realistic 5G RAN monitoring traces.",

keywords = "5G mobile communication, network monitoring, SDK",

author = "Xenofon Vasilakos and Berkay Koksal and Izaldi, {Dwi Hartati} and Navid Nikaein and Robert Schmidt and Nasim Ferdosian and Sari, {Riri Fitri} and Cheng, {Ray Guang}",

year = "2020",

month = apr,

doi = "10.1109/NOMS47738.2020.9110373",

language = "English",

series = "Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

booktitle = "Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020",

address = "United States",

note = "2020 IEEE/IFIP Network Operations and Management Symposium, NOMS 2020 ; Conference date: 20-04-2020 Through 24-04-2020",

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Vasilakos, X, Koksal, B, Izaldi, DH, Nikaein, N, Schmidt, R, Ferdosian, N, Sari, RF & Cheng, RG 2020, ElasticSDK: A Monitoring Software Development Kit for enabling Data-driven Management and Control in 5G. in Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020., 9110373, Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020, Institute of Electrical and Electronics Engineers (IEEE), 2020 IEEE/IFIP Network Operations and Management Symposium, NOMS 2020, Budapest, Hungary, 20/04/20. https://doi.org/10.1109/NOMS47738.2020.9110373

ElasticSDK: A Monitoring Software Development Kit for enabling Data-driven Management and Control in 5G. / Vasilakos, Xenofon; Koksal, Berkay; Izaldi, Dwi Hartati et al.
Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020. Institute of Electrical and Electronics Engineers (IEEE), 2020. 9110373 (Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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T1 - ElasticSDK

T2 - 2020 IEEE/IFIP Network Operations and Management Symposium, NOMS 2020

AU - Vasilakos, Xenofon

AU - Koksal, Berkay

AU - Izaldi, Dwi Hartati

AU - Nikaein, Navid

AU - Schmidt, Robert

AU - Ferdosian, Nasim

AU - Sari, Riri Fitri

AU - Cheng, Ray Guang

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N2 - 5G networks generate massive (quasi-) real-time data streams that different network apps can exploit to implement sophisticated single-or cross-domain control and management logic. This paper presents ElasticSDK, a Software Development Kit specially designed to abstract the development and chaining of such agile 5G monitoring apps for the control, management, and coordination of the underlying 5G network heterogeneous modules. Custom apps can collect, incrementally process and further expose flows in a flexible Pub/Sub fashion via appropriate SDK API calls, thus sharing both raw and complex data flows among themselves. Furthermore, the design of ElasticSDK allows respecting typical 5G data ownership and privacy models, as desired by the different 5G stakeholders ranging from physical infrastructure providers up to service providers over slicing. Finally, we provide two important contributions to the 5G open-source research community: (i) a RAN monitoring prototype implementation over the ElasticSearch and FlexRAN platforms that allows to demonstrate ElasticSDK app development and capturing hierarchical control features of typical SDN-enabled 5G architectures, and (ii) a first-ever publicly available dataset of realistic 5G RAN monitoring traces.

AB - 5G networks generate massive (quasi-) real-time data streams that different network apps can exploit to implement sophisticated single-or cross-domain control and management logic. This paper presents ElasticSDK, a Software Development Kit specially designed to abstract the development and chaining of such agile 5G monitoring apps for the control, management, and coordination of the underlying 5G network heterogeneous modules. Custom apps can collect, incrementally process and further expose flows in a flexible Pub/Sub fashion via appropriate SDK API calls, thus sharing both raw and complex data flows among themselves. Furthermore, the design of ElasticSDK allows respecting typical 5G data ownership and privacy models, as desired by the different 5G stakeholders ranging from physical infrastructure providers up to service providers over slicing. Finally, we provide two important contributions to the 5G open-source research community: (i) a RAN monitoring prototype implementation over the ElasticSearch and FlexRAN platforms that allows to demonstrate ElasticSDK app development and capturing hierarchical control features of typical SDN-enabled 5G architectures, and (ii) a first-ever publicly available dataset of realistic 5G RAN monitoring traces.

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M3 - Conference Contribution (Conference Proceeding)

AN - SCOPUS:85086760784

T3 - Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020

BT - Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020

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Vasilakos X, Koksal B, Izaldi DH, Nikaein N, Schmidt R, Ferdosian N et al. ElasticSDK: A Monitoring Software Development Kit for enabling Data-driven Management and Control in 5G. In Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020. Institute of Electrical and Electronics Engineers (IEEE). 2020. 9110373. (Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020). doi: 10.1109/NOMS47738.2020.9110373

ElasticSDK: A Monitoring Software Development Kit for enabling Data-driven Management and Control in 5G

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