CLAIM : A cloud-based framework for Internet-scale measurements

Rafi Kurnia Putra; Lorenzo Corneo; Walter Wong; Mario Di Francesco

doi:10.1109/NOMS59830.2024.10575763

CLAIM : A cloud-based framework for Internet-scale measurements

Rafi Kurnia Putra^*, Lorenzo Corneo, Walter Wong, Mario Di Francesco

^*Corresponding author for this work

Aalto University

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

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Abstract

Internet failures occur, resulting in service disruptions as well as monetary losses. Internet measurement platforms run network diagnostic tests to probe and identify anomalies at a global scale, such as slowdowns which can affect quality of service and user experience. However, maintaining such platforms is complex, as it may involve managing large amounts of hardware and servers in addition to non-negligible monetary costs. To address these challenges this article presents CLAIM, a cloud-based framework for Internet-scale measurements. CLAIM supports running custom probes according to a cloud-native design built on top of the serverless computing paradigm and also supports spot virtual machines. CLAIM was implemented and evaluated in different scenarios. The related analysis showed that CLAIM reduces measurement costs up to 90% compared to standard virtual machines, without a noticeable overhead in running probes.

Original language	English
Title of host publication	Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024
Editors	James Won-Ki Hong, Seung-Joon Seok, Yuji Nomura, You-Chiun Wang, Baek-Young Choi, Myung-Sup Kim, Roberto Riggio, Meng-Hsun Tsai, Carlos Raniery Paula dos Santos
Publisher	IEEE
ISBN (Electronic)	979-8-3503-2793-9
DOIs	https://doi.org/10.1109/NOMS59830.2024.10575763
Publication status	Published - 2024
MoE publication type	A4 Conference publication
Event	IEEE/IFIP Network Operations and Management Symposium - Seoul, Korea, Republic of Duration: 6 May 2024 → 10 May 2024

Publication series

Name	IEEE/IFIP Network Operations and Management Symposium
ISSN (Electronic)	2374-9709

Conference

Conference	IEEE/IFIP Network Operations and Management Symposium
Abbreviated title	NOMS
Country/Territory	Korea, Republic of
City	Seoul
Period	06/05/2024 → 10/05/2024

Keywords

cloud computing
Internet
measurements
pricing
serverless
software framework
spot virtual machines

Access to Document

10.1109/NOMS59830.2024.10575763

CLAIM - A cloud-based framework for Internet-scale measurementsAccepted author manuscript, 397 KB

Cite this

Putra, R. K., Corneo, L., Wong, W., & Di Francesco, M. (2024). CLAIM : A cloud-based framework for Internet-scale measurements. In J. W.-K. Hong, S.-J. Seok, Y. Nomura, Y.-C. Wang, B.-Y. Choi, M.-S. Kim, R. Riggio, M.-H. Tsai, & C. R. P. dos Santos (Eds.), Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024 (IEEE/IFIP Network Operations and Management Symposium). IEEE. https://doi.org/10.1109/NOMS59830.2024.10575763

Putra, Rafi Kurnia ; Corneo, Lorenzo ; Wong, Walter et al. / CLAIM : A cloud-based framework for Internet-scale measurements. Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024. editor / James Won-Ki Hong ; Seung-Joon Seok ; Yuji Nomura ; You-Chiun Wang ; Baek-Young Choi ; Myung-Sup Kim ; Roberto Riggio ; Meng-Hsun Tsai ; Carlos Raniery Paula dos Santos. IEEE, 2024. (IEEE/IFIP Network Operations and Management Symposium).

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title = "CLAIM : A cloud-based framework for Internet-scale measurements",

abstract = "Internet failures occur, resulting in service disruptions as well as monetary losses. Internet measurement platforms run network diagnostic tests to probe and identify anomalies at a global scale, such as slowdowns which can affect quality of service and user experience. However, maintaining such platforms is complex, as it may involve managing large amounts of hardware and servers in addition to non-negligible monetary costs. To address these challenges this article presents CLAIM, a cloud-based framework for Internet-scale measurements. CLAIM supports running custom probes according to a cloud-native design built on top of the serverless computing paradigm and also supports spot virtual machines. CLAIM was implemented and evaluated in different scenarios. The related analysis showed that CLAIM reduces measurement costs up to 90% compared to standard virtual machines, without a noticeable overhead in running probes.",

keywords = "cloud computing, Internet, measurements, pricing, serverless, software framework, spot virtual machines",

author = "Putra, {Rafi Kurnia} and Lorenzo Corneo and Walter Wong and {Di Francesco}, Mario",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; IEEE/IFIP Network Operations and Management Symposium, NOMS ; Conference date: 06-05-2024 Through 10-05-2024",

year = "2024",

doi = "10.1109/NOMS59830.2024.10575763",

language = "English",

series = "IEEE/IFIP Network Operations and Management Symposium",

publisher = "IEEE",

editor = "Hong, {James Won-Ki} and Seung-Joon Seok and Yuji Nomura and You-Chiun Wang and Baek-Young Choi and Myung-Sup Kim and Roberto Riggio and Meng-Hsun Tsai and {dos Santos}, {Carlos Raniery Paula}",

booktitle = "Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024",

address = "United States",

}

Putra, RK, Corneo, L, Wong, W & Di Francesco, M 2024, CLAIM : A cloud-based framework for Internet-scale measurements. in JW-K Hong, S-J Seok, Y Nomura, Y-C Wang, B-Y Choi, M-S Kim, R Riggio, M-H Tsai & CRP dos Santos (eds), Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024. IEEE/IFIP Network Operations and Management Symposium, IEEE, IEEE/IFIP Network Operations and Management Symposium, Seoul, Korea, Republic of, 06/05/2024. https://doi.org/10.1109/NOMS59830.2024.10575763

CLAIM : A cloud-based framework for Internet-scale measurements. / Putra, Rafi Kurnia; Corneo, Lorenzo; Wong, Walter et al.
Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024. ed. / James Won-Ki Hong; Seung-Joon Seok; Yuji Nomura; You-Chiun Wang; Baek-Young Choi; Myung-Sup Kim; Roberto Riggio; Meng-Hsun Tsai; Carlos Raniery Paula dos Santos. IEEE, 2024. (IEEE/IFIP Network Operations and Management Symposium).

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

TY - GEN

T1 - CLAIM : A cloud-based framework for Internet-scale measurements

AU - Putra, Rafi Kurnia

AU - Corneo, Lorenzo

AU - Wong, Walter

AU - Di Francesco, Mario

PY - 2024

Y1 - 2024

N2 - Internet failures occur, resulting in service disruptions as well as monetary losses. Internet measurement platforms run network diagnostic tests to probe and identify anomalies at a global scale, such as slowdowns which can affect quality of service and user experience. However, maintaining such platforms is complex, as it may involve managing large amounts of hardware and servers in addition to non-negligible monetary costs. To address these challenges this article presents CLAIM, a cloud-based framework for Internet-scale measurements. CLAIM supports running custom probes according to a cloud-native design built on top of the serverless computing paradigm and also supports spot virtual machines. CLAIM was implemented and evaluated in different scenarios. The related analysis showed that CLAIM reduces measurement costs up to 90% compared to standard virtual machines, without a noticeable overhead in running probes.

AB - Internet failures occur, resulting in service disruptions as well as monetary losses. Internet measurement platforms run network diagnostic tests to probe and identify anomalies at a global scale, such as slowdowns which can affect quality of service and user experience. However, maintaining such platforms is complex, as it may involve managing large amounts of hardware and servers in addition to non-negligible monetary costs. To address these challenges this article presents CLAIM, a cloud-based framework for Internet-scale measurements. CLAIM supports running custom probes according to a cloud-native design built on top of the serverless computing paradigm and also supports spot virtual machines. CLAIM was implemented and evaluated in different scenarios. The related analysis showed that CLAIM reduces measurement costs up to 90% compared to standard virtual machines, without a noticeable overhead in running probes.

KW - cloud computing

KW - Internet

KW - measurements

KW - pricing

KW - serverless

KW - software framework

KW - spot virtual machines

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U2 - 10.1109/NOMS59830.2024.10575763

DO - 10.1109/NOMS59830.2024.10575763

M3 - Conference article in proceedings

AN - SCOPUS:85198325401

T3 - IEEE/IFIP Network Operations and Management Symposium

BT - Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024

A2 - Hong, James Won-Ki

A2 - Seok, Seung-Joon

A2 - Nomura, Yuji

A2 - Wang, You-Chiun

A2 - Choi, Baek-Young

A2 - Kim, Myung-Sup

A2 - Riggio, Roberto

A2 - Tsai, Meng-Hsun

A2 - dos Santos, Carlos Raniery Paula

PB - IEEE

T2 - IEEE/IFIP Network Operations and Management Symposium

Y2 - 6 May 2024 through 10 May 2024

ER -

Putra RK, Corneo L, Wong W, Di Francesco M. CLAIM : A cloud-based framework for Internet-scale measurements. In Hong JWK, Seok SJ, Nomura Y, Wang YC, Choi BY, Kim MS, Riggio R, Tsai MH, dos Santos CRP, editors, Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024. IEEE. 2024. (IEEE/IFIP Network Operations and Management Symposium). doi: 10.1109/NOMS59830.2024.10575763

CLAIM : A cloud-based framework for Internet-scale measurements

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

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CRUISE /Di Francesco: A Cross-system Architecture Design for Autonomous Wireless Networks based on Lifelong Machine Learning

Cite this

CLAIM : A cloud-based framework for Internet-scale measurements

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

CRUISE /Di Francesco: A Cross-system Architecture Design for Autonomous Wireless Networks based on Lifelong Machine Learning

Cite this