A Retrospective on Workload Identifiers: From Data Center to Cloud-Native Networks

Babakian, A; Monclus, P; Braun, R; Lipman, J

A Retrospective on Workload Identifiers: From Data Center to Cloud-Native Networks

Babakian, A Monclus, P Braun, R

Lipman, J

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Access, 2022, 10, pp. 105518-105527
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Babakian, A
dc.contributor.author	Monclus, P
dc.contributor.author	Braun, R https://orcid.org/0000-0002-4153-8769
dc.contributor.author	Lipman, J https://orcid.org/0000-0003-2877-1168
dc.date.accessioned	2023-03-19T22:17:04Z
dc.date.available	2023-03-19T22:17:04Z
dc.date.issued	2022-01-01
dc.identifier.citation	IEEE Access, 2022, 10, pp. 105518-105527
dc.identifier.issn	2169-3536
dc.identifier.issn	2169-3536
dc.identifier.uri	http://hdl.handle.net/10453/167589
dc.description.abstract	As applications move to multiple clouds, the network has become a reactive element to support cloud consumption and application needs. Through each generation of network architectures, identifiers and the use of dynamic locators evolved in different levels of the protocol stack. The identifiers and locators type is defined by the isolation boundary and how the architecture considers semantic overload in the IP address. Each solution is an outcome of incrementalism, resulting in application delivery outgrowing the underlying network. This paper contributes an industrial retrospective of how the schemes and mechanisms for identification and location of network entities have evolved in traditional data centers and how they match cloud-native application requirements. Specifically, there is an evaluation of each application artifact that forced necessary changes in the identifiers and locators. Finally, the common themes are highlighted from observations to determine the investigation areas that may play an essential role in the future of cloud-native networking.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Access
dc.relation.isbasedon	10.1109/ACCESS.2022.3211293
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 10 Technology
dc.title	A Retrospective on Workload Identifiers: From Data Center to Cloud-Native Networks
dc.type	Journal Article
utslib.citation.volume	10
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	10 Technology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2023-03-19T22:17:03Z
pubs.publication-status	Published
pubs.volume	10

Abstract:

As applications move to multiple clouds, the network has become a reactive element to support cloud consumption and application needs. Through each generation of network architectures, identifiers and the use of dynamic locators evolved in different levels of the protocol stack. The identifiers and locators type is defined by the isolation boundary and how the architecture considers semantic overload in the IP address. Each solution is an outcome of incrementalism, resulting in application delivery outgrowing the underlying network. This paper contributes an industrial retrospective of how the schemes and mechanisms for identification and location of network entities have evolved in traditional data centers and how they match cloud-native application requirements. Specifically, there is an evaluation of each application artifact that forced necessary changes in the identifiers and locators. Finally, the common themes are highlighted from observations to determine the investigation areas that may play an essential role in the future of cloud-native networking.

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http://hdl.handle.net/10453/167589