CLAIM : A cloud-based framework for Internet-scale measurements
Loading...
Access rights
openAccess
acceptedVersion
URL
Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
2024
Department
Major/Subject
Mcode
Degree programme
Language
en
Pages
Series
Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024, IEEE/IFIP Network Operations and Management Symposium
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.Description
Publisher Copyright: © 2024 IEEE.
Keywords
cloud computing, Internet, measurements, pricing, serverless, software framework, spot virtual machines
Other note
Citation
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, IEEE/IFIP Network Operations and Management Symposium, Seoul, Korea, Republic of, 06/05/2024 . https://doi.org/10.1109/NOMS59830.2024.10575763