Energy-aware Scheduling Algorithm for Microservices in Kubernetes Clouds Energy-aware Scheduling Algorithm for Microservices in Kubernetes Clouds

More and more applications are organized in the form of meshed microservices which can be deployed on the popular container orchestration platform Kubernetes. Kubernetes offers automated management, high availability, elastic scaling, and cross-cloud compatibility for complex meshed microservices ap...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Journal of grid computing Ročník 23; číslo 1; s. 2
Hlavní autoři: Rao, Wei, Li, Hongjian
Médium: Journal Article
Jazyk:angličtina
Vydáno: Dordrecht Springer Netherlands 01.03.2025
Springer Nature B.V
Témata:
Algorithms
Communications traffic
Computer Science
Containers
Energy consumption
Energy management
Management of Computing and Information Systems
Priority scheduling
Processor Architectures
Resource scheduling
Scheduling
Search algorithms
User Interfaces and Human Computer Interaction
Container scheduling
Energy consumption
Service level agreement
Kubernetes
ISSN:1570-7873, 1572-9184
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract More and more applications are organized in the form of meshed microservices which can be deployed on the popular container orchestration platform Kubernetes. Kubernetes offers automated management, high availability, elastic scaling, and cross-cloud compatibility for complex meshed microservices applications. Although Kubernetes is a powerful tool for managing containers, its default scheduling algorithm and existing studies on container scheduling are mainly designed for monolithic applications. They fail to consider the varying resource consumption of different microservices, as well as the CPU consumption caused by the heartbeat mechanism of these microservices, leading to energy waste and inefficiencies. Hence, we propose an energy-aware scheduling algorithm based on Service Level Agreement (SLA) to reduce energy consumption of microservices deployed in Kubernetes. The proposed algorithm divides the communication frequency for the overall Pods by the network traffic between Pods and prioritizes the resource consumption of Pods based on the resource consumption of microservices running in the Pods. Additionally, an improved Sparrow Search Algorithm (ISSA) is designed and applied to pack the Pods by the communication frequency and the resource consumption priority of Pods, to achieve the goal of ensuring SLA and reducing energy consumption. The experimental results show that the energy consumption of Kubernetes clusters in a cloud environment is reduced by at least 5% compared with the latest container scheduling algorithms.
AbstractList More and more applications are organized in the form of meshed microservices which can be deployed on the popular container orchestration platform Kubernetes. Kubernetes offers automated management, high availability, elastic scaling, and cross-cloud compatibility for complex meshed microservices applications. Although Kubernetes is a powerful tool for managing containers, its default scheduling algorithm and existing studies on container scheduling are mainly designed for monolithic applications. They fail to consider the varying resource consumption of different microservices, as well as the CPU consumption caused by the heartbeat mechanism of these microservices, leading to energy waste and inefficiencies. Hence, we propose an energy-aware scheduling algorithm based on Service Level Agreement (SLA) to reduce energy consumption of microservices deployed in Kubernetes. The proposed algorithm divides the communication frequency for the overall Pods by the network traffic between Pods and prioritizes the resource consumption of Pods based on the resource consumption of microservices running in the Pods. Additionally, an improved Sparrow Search Algorithm (ISSA) is designed and applied to pack the Pods by the communication frequency and the resource consumption priority of Pods, to achieve the goal of ensuring SLA and reducing energy consumption. The experimental results show that the energy consumption of Kubernetes clusters in a cloud environment is reduced by at least 5% compared with the latest container scheduling algorithms.
ArticleNumber 2
Author Rao, Wei
Li, Hongjian
Author_xml – sequence: 1
  givenname: Wei
  surname: Rao
  fullname: Rao, Wei
  organization: Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications
– sequence: 2
  givenname: Hongjian
  surname: Li
  fullname: Li, Hongjian
  email: lihj@cqupt.edu.cn
  organization: Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications
BookMark eNp9kNFLwzAQxoNMcJv-Az4VfI5ekrZpH8eYTpz4oD6HtEm7jC6ZSevYf2-3CoIPg4O7g-939_FN0Mg6qxG6JXBPAPhDIMApw0BjDDnPMry_QGOScIpzksWj0wyYZ5xdoUkIGwCaZEDHaLmw2tcHLPfS6-i9XGvVNcbW0aypnTftehtVzkevpvQuaP9tSh0iY6OXrtDe6rbf5o3rVLhGl5Vsgr757VP0-bj4mC_x6u3peT5b4ZKRvMVZmSseM0UgBVkwxZK4kCVlBAjkkuVEZUVZkEQlidR9UQ0xLyodA1ccVMKm6G64u_Puq9OhFRvXedu_FIzEnKZJmqa9KhtUR9vB60qUppWtcbb10jSCgDjmJobcRJ-bOOUm9j1K_6E7b7bSH85DbIBCL7a19n-uzlA_weSDEg
CitedBy_id crossref_primary_10_48084_etasr_10006
crossref_primary_10_1088_1742_6596_3087_1_012033
Cites_doi 10.1145/3378447
10.1186/s13677-023-00471-1
10.1002/spe.3211
10.1109/INFOCOM42981.2021.9488670
10.1109/ACCESS.2022.3150867
10.1016/j.jss.2019.05.031
10.1109/ACCESS.2024.3351944
10.1109/CCGrid54584.2022.00102
10.1007/s11227-020-03427-3
10.1080/21642583.2019.1708830
10.1109/TNSM.2023.3244090
10.1109/DSDIS.2015.67
10.1002/spe.2898
10.1109/TGCN.2024.3420957
10.1007/s11227-023-05506-7
10.1007/978-3-319-67425-4_12
10.1109/UCC56403.2022.00019
10.1109/ACCESS.2024.3389064
10.1109/TSUSC.2017.2711967
10.1109/ACCESS.2024.3396652
10.1109/JIOT.2019.2939534
10.1007/s12083-021-01218-y
10.1007/978-3-319-92378-9_14
10.1109/TCC.2017.2702586
10.1007/s10586-024-04333-6
ContentType Journal Article
Copyright The Author(s), under exclusive licence to Springer Nature B.V. 2024 Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Copyright Springer Nature B.V. Mar 2025
Copyright_xml – notice: The Author(s), under exclusive licence to Springer Nature B.V. 2024 Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
– notice: Copyright Springer Nature B.V. Mar 2025
DBID AAYXX
CITATION
DOI 10.1007/s10723-024-09788-w
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList

DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISSN 1572-9184
ExternalDocumentID 10_1007_s10723_024_09788_w
GroupedDBID -D3
-D4
-D8
-DT
-Y2
-~X
.86
.VR
06D
0R~
0VY
1N0
203
29K
2J2
2JN
2JY
2KG
2LR
2P1
2VQ
2~H
30V
4.4
406
408
409
40D
40E
5GY
5VS
67Z
6NX
8FE
8FG
8TC
95-
95.
95~
96X
AABHQ
AACDK
AAHNG
AAIAL
AAJBT
AAJKR
AANZL
AAPKM
AARHV
AARTL
AASML
AATNV
AATVU
AAUYE
AAWCG
AAYIU
AAYQN
AAYTO
AAYZH
ABAKF
ABBBX
ABBXA
ABDBE
ABDZT
ABECU
ABFTD
ABFTV
ABHFT
ABHLI
ABHQN
ABJNI
ABJOX
ABKCH
ABKTR
ABMNI
ABMQK
ABNWP
ABQBU
ABQSL
ABSXP
ABTEG
ABTHY
ABTKH
ABTMW
ABULA
ABWNU
ABXPI
ACAOD
ACBXY
ACDTI
ACGFO
ACGFS
ACHSB
ACHXU
ACKNC
ACMDZ
ACMLO
ACOKC
ACOMO
ACPIV
ACREN
ACSNA
ACZOJ
ADHHG
ADHIR
ADHKG
ADKNI
ADKPE
ADRFC
ADTPH
ADURQ
ADYFF
ADYOE
ADZKW
AEBTG
AEFQL
AEGAL
AEGNC
AEJHL
AEJRE
AEKMD
AEMSY
AENEX
AEOHA
AEPYU
AESKC
AETLH
AEVLU
AEXYK
AFBBN
AFGCZ
AFKRA
AFLOW
AFQWF
AFWTZ
AFYQB
AFZKB
AGAYW
AGDGC
AGJBK
AGMZJ
AGQEE
AGQMX
AGRTI
AGWIL
AGWZB
AGYKE
AHAVH
AHBYD
AHKAY
AHSBF
AHYZX
AIAKS
AIGIU
AIIXL
AILAN
AITGF
AJBLW
AJRNO
AJZVZ
ALMA_UNASSIGNED_HOLDINGS
ALWAN
AMKLP
AMTXH
AMXSW
AMYLF
AMYQR
AOCGG
ARAPS
ARMRJ
ASPBG
AVWKF
AXYYD
AYFIA
AYJHY
AZFZN
B-.
BA0
BDATZ
BENPR
BGLVJ
BGNMA
BSONS
CAG
CCPQU
COF
CS3
CSCUP
D-I
DDRTE
DL5
DNIVK
DPUIP
DU5
EBLON
EBS
EIOEI
EJD
ESBYG
FEDTE
FERAY
FFXSO
FIGPU
FINBP
FNLPD
FRRFC
FSGXE
FWDCC
GGCAI
GGRSB
GJIRD
GNWQR
GQ7
GQ8
GXS
H13
HCIFZ
HF~
HG5
HG6
HLICF
HMJXF
HQYDN
HRMNR
HVGLF
HZ~
I09
IHE
IJ-
IKXTQ
IWAJR
IXC
IXD
IXE
IZIGR
IZQ
I~X
I~Z
J-C
J0Z
JBSCW
JCJTX
JZLTJ
KDC
KOV
KZ1
LAK
LLZTM
LMP
M4Y
MA-
N2Q
NPVJJ
NQJWS
NU0
O9-
O93
O9J
OAM
OVD
P2P
P62
P9O
PF0
PHGZT
PT4
QOS
R89
R9I
RNI
RNS
ROL
RPX
RSV
RZC
RZE
S16
S1Z
S27
S3B
SAP
SCO
SDH
SHX
SISQX
SJYHP
SNE
SNPRN
SNX
SOHCF
SOJ
SPISZ
SRMVM
SSLCW
STPWE
SZN
T13
TEORI
TSG
TSK
TSV
TUC
U2A
UG4
UOJIU
UTJUX
UZXMN
VC2
VFIZW
W23
W48
WK8
YLTOR
Z45
ZMTXR
AAYXX
ABBRH
ABFSG
ABRTQ
ACSTC
AEZWR
AFDZB
AFFHD
AFHIU
AFOHR
AGQPQ
AHPBZ
AHWEU
AIXLP
ATHPR
CITATION
PHGZM
PQGLB
ID FETCH-LOGICAL-c319t-8c9d743d1060ab3d354bac2310109a391d8bcb15d55ae5ae2e047bfe407d70d53
IEDL.DBID RSV
ISICitedReferencesCount 2
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001380231200001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1570-7873
IngestDate Wed Nov 05 03:16:11 EST 2025
Sat Nov 29 08:06:32 EST 2025
Tue Nov 18 21:58:10 EST 2025
Fri Mar 21 01:12:35 EDT 2025
IsPeerReviewed false
IsScholarly true
Issue 1
Keywords Container scheduling
Energy consumption
Service level agreement
Kubernetes
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c319t-8c9d743d1060ab3d354bac2310109a391d8bcb15d55ae5ae2e047bfe407d70d53
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
PQID 3147265666
PQPubID 2043852
ParticipantIDs proquest_journals_3147265666
crossref_citationtrail_10_1007_s10723_024_09788_w
crossref_primary_10_1007_s10723_024_09788_w
springer_journals_10_1007_s10723_024_09788_w
PublicationCentury 2000
PublicationDate 20250300
2025-03-00
20250301
PublicationDateYYYYMMDD 2025-03-01
PublicationDate_xml – month: 3
  year: 2025
  text: 20250300
PublicationDecade 2020
PublicationPlace Dordrecht
PublicationPlace_xml – name: Dordrecht
PublicationSubtitle From Grids to Cloud Federations
PublicationTitle Journal of grid computing
PublicationTitleAbbrev J Grid Computing
PublicationYear 2025
Publisher Springer Netherlands
Springer Nature B.V
Publisher_xml – name: Springer Netherlands
– name: Springer Nature B.V
References K Senjab (9788_CR10) 2023; 12
K Kaur (9788_CR19) 2020; 7
P Ruiu (9788_CR22) 2017; 2
9788_CR23
9788_CR24
9788_CR25
T Menouer (9788_CR13) 2021; 77
Z Zhong (9788_CR12) 2020; 20
M Carvalho (9788_CR18) 2023; 20
9788_CR8
LH Phuc (9788_CR17) 2022; 10
J Jeon (9788_CR11) 2024; 12
9788_CR3
T Piontek (9788_CR6) 2024; 80
9788_CR1
9788_CR7
M Kumar (9788_CR21) 2024; 54
9788_CR4
9788_CR5
Z Bellal (9788_CR9) 2024; 1
G El Haj Ahmed (9788_CR15) 2021; 51
9788_CR16
Q-H Chen (9788_CR20) 2024; 12
C Pahl (9788_CR2) 2019; 7
9788_CR14
References_xml – volume: 20
  start-page: 1
  issue: 2
  year: 2020
  ident: 9788_CR12
  publication-title: ACM Trans. Internet Technol.
  doi: 10.1145/3378447
– volume: 12
  start-page: 87
  issue: 1
  year: 2023
  ident: 9788_CR10
  publication-title: J. Cloud Comput.
  doi: 10.1186/s13677-023-00471-1
– volume: 54
  start-page: 546
  issue: 4
  year: 2024
  ident: 9788_CR21
  publication-title: Softw. Pract. Exper.
  doi: 10.1002/spe.3211
– ident: 9788_CR14
  doi: 10.1109/INFOCOM42981.2021.9488670
– volume: 10
  start-page: 18966
  year: 2022
  ident: 9788_CR17
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2022.3150867
– ident: 9788_CR25
  doi: 10.1016/j.jss.2019.05.031
– volume: 12
  start-page: 7413
  year: 2024
  ident: 9788_CR20
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2024.3351944
– ident: 9788_CR16
  doi: 10.1109/CCGrid54584.2022.00102
– volume: 77
  start-page: 4267
  issue: 5
  year: 2021
  ident: 9788_CR13
  publication-title: J. Supercomput.
  doi: 10.1007/s11227-020-03427-3
– ident: 9788_CR24
  doi: 10.1080/21642583.2019.1708830
– volume: 20
  start-page: 3247
  issue: 3
  year: 2023
  ident: 9788_CR18
  publication-title: IEEE Trans. Netw. Serv. Manag.
  doi: 10.1109/TNSM.2023.3244090
– ident: 9788_CR23
  doi: 10.1109/DSDIS.2015.67
– volume: 51
  start-page: 213
  issue: 2
  year: 2021
  ident: 9788_CR15
  publication-title: Softw. Pract. Exper.
  doi: 10.1002/spe.2898
– volume: 1
  start-page: 1
  year: 2024
  ident: 9788_CR9
  publication-title: IEEE Trans. Green Commun. Netw.
  doi: 10.1109/TGCN.2024.3420957
– volume: 80
  start-page: 549
  issue: 1
  year: 2024
  ident: 9788_CR6
  publication-title: J. Supercomput.
  doi: 10.1007/s11227-023-05506-7
– ident: 9788_CR3
  doi: 10.1007/978-3-319-67425-4_12
– ident: 9788_CR5
  doi: 10.1109/UCC56403.2022.00019
– ident: 9788_CR4
  doi: 10.1109/ACCESS.2024.3389064
– volume: 2
  start-page: 197
  issue: 2
  year: 2017
  ident: 9788_CR22
  publication-title: IEEE Trans. Sustain. Comput.
  doi: 10.1109/TSUSC.2017.2711967
– volume: 12
  start-page: 65166
  year: 2024
  ident: 9788_CR11
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2024.3396652
– volume: 7
  start-page: 4228
  issue: 5
  year: 2020
  ident: 9788_CR19
  publication-title: IEEE Internet Things J.
  doi: 10.1109/JIOT.2019.2939534
– ident: 9788_CR8
  doi: 10.1007/s12083-021-01218-y
– ident: 9788_CR1
  doi: 10.1007/978-3-319-92378-9_14
– volume: 7
  start-page: 677
  issue: 3
  year: 2019
  ident: 9788_CR2
  publication-title: IEEE Trans. Cloud Comput.
  doi: 10.1109/TCC.2017.2702586
– ident: 9788_CR7
  doi: 10.1007/s10586-024-04333-6
SSID ssj0025802
Score 2.3830507
Snippet More and more applications are organized in the form of meshed microservices which can be deployed on the popular container orchestration platform Kubernetes....
SourceID proquest
crossref
springer
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 2
SubjectTerms Algorithms
Communications traffic
Computer Science
Containers
Energy consumption
Energy management
Management of Computing and Information Systems
Priority scheduling
Processor Architectures
Resource scheduling
Scheduling
Search algorithms
User Interfaces and Human Computer Interaction
Subtitle Energy-aware Scheduling Algorithm for Microservices in Kubernetes Clouds
Title Energy-aware Scheduling Algorithm for Microservices in Kubernetes Clouds
URI https://link.springer.com/article/10.1007/s10723-024-09788-w
https://www.proquest.com/docview/3147265666
Volume 23
WOSCitedRecordID wos001380231200001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAVX
  databaseName: SpringerLINK Contemporary 1997-Present
  customDbUrl:
  eissn: 1572-9184
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0025802
  issn: 1570-7873
  databaseCode: RSV
  dateStart: 20030301
  isFulltext: true
  titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22
  providerName: Springer Nature
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NS8MwFA86PXhxfuJ0Sg7eNNA26ZIex9gYiEP8YreSr7rB7KTd3L_vS9c6FRUUemmbhvLyXt7v5X0hdA5aTwInMEKpahHAtx6RMlIkYYHVHCAzVUnRbIIPBmI4jG7KpLC8inavXJLFTv0h2Y0HzufIiMs9EGSxjjZA3Qknjrd3j-9mViiWkYYhd7FynJapMt_P8VkdrTDmF7dooW169f_95w7aLtElbi_ZYRet2XQP1avODbgU5H3U7xYpf0QuZGbh8QgUjstLx-3J0zQbz0bPGMAsvnbRenm5m-Bxiq_mymapO6vFncl0bvID9NDr3nf6pOypQDQI24wIHRkADQYsQU8qamjIlNQO5PleJGnkG6G08kMThtLCFViPcZVYsPsM90xID1Etnab2CGFLtQsStZQpMLNsK-IwTyLhhgnqWdFAfkXaWJcFx13fi0m8KpXsSBUDqeKCVPGigS7ev3lZltv4dXSzWrG4FL08pj7jgUOprQa6rFZo9frn2Y7_NvwEbQWuF3ARj9ZEtVk2t6doU7_Oxnl2VrDkG8z22os
linkProvider Springer Nature
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3dS8MwED_8An3xW5yfefBNA22TLu2jjMlEHaJT9haSNnOD2UnbuX_fS9c6FRUU-tI2DeVyl_td8rscwAl6PYWawCljuk4R3zpUqVDTHvdMJBAyM90rik2IdjvodsPbMiksq9ju1ZZkMVN_SHYTnt1z5NTmHgR0Mg-LHD2WJfLd3T--h1l-MGUa-sJy5QQrU2W-7-OzO5phzC_booW3uVj733-uw2qJLsn5VB02YM4km7BWVW4gpSFvQatZpPxRNVGpwcd9dDg2L52cD59G6SDvPxMEs-TGsvWycjYhg4RcjbVJE7tWSxrD0TjOtuHhotlptGhZU4FGaGw5DaIwRtAQYyToKM1i5nOtIgvyXCdULHTjQEfa9WPfVwYvzzhc6J7BuC8WTuyzHVhIRonZBWJYZEmihnGNYZaphwL76Sm84QFzTFADtxKtjMoDx23di6GcHZVsRSVRVLIQlZzU4PT9m5fpcRu_tj6oRkyWppdJ5nLhWZRar8FZNUKz1z_3tve35sew3OrcXMvry_bVPqx4ti5wwU07gIU8HZtDWIpe80GWHhXq-QYUht1v
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3dT4MwEL_oNMYX52ecTu2Db9oItKzwuMwtmuli4kd8Iy0tbslkCzD379sy2NSoiTHhBSgXcu1xv6P3uwM41V6P65VAMSGigTW-tTDnvsARdVTINGQmIsqbTbBez3t-9u8-sPjzbPdyS3LGaTBVmuLsYiyjiw_EN-aY_UeKDQ_Bw9NlWKGmaZCJ1--f5iGX682yDl1m8uYYKWgz38v47JoWePPLFmnueTrV_7_zJmwUqBM1Z8tkC5ZUvA3VsqMDKgx8B67aORUQ8ylPlL7c147I8NVRc_gySgZZ_xVpkItuTRZfWnxl0CBG3YlQSWz-4aLWcDSR6S48dtoPrStc9FrAoTbCDHuhLzWYkDpCtLggkrhU8NCAP9vyOfFt6YlQ2K50Xa704SiLMhEpHQ9KZkmX7EElHsVqH5AioUkeVYQKHX6phs-0nIjrE-oRS3k1sEs1B2FRiNz0wxgGixLKRlWBVlWQqyqY1uBs_sx4Vobj19H1cvaCwiTTgNiUOQa9NmpwXs7W4vbP0g7-NvwE1u4uO8HNda97COuOaRecp6zVoZIlE3UEq-FbNkiT43ylvgM1J-ZT
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Energy-aware+Scheduling+Algorithm+for+Microservices+in+Kubernetes+Clouds&rft.jtitle=Journal+of+grid+computing&rft.au=Rao%2C+Wei&rft.au=Li%2C+Hongjian&rft.date=2025-03-01&rft.pub=Springer+Netherlands&rft.issn=1570-7873&rft.eissn=1572-9184&rft.volume=23&rft.issue=1&rft_id=info:doi/10.1007%2Fs10723-024-09788-w&rft.externalDocID=10_1007_s10723_024_09788_w
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1570-7873&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1570-7873&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1570-7873&client=summon