{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T16:38:49Z","timestamp":1778690329809,"version":"3.51.4"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T00:00:00Z","timestamp":1725580800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T00:00:00Z","timestamp":1725580800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Computing"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s00607-024-01342-6","type":"journal-article","created":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T03:31:21Z","timestamp":1725593481000},"page":"3987-4014","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Robust evaluation of GPU compute instances for HPC and AI in the cloud: a TOPSIS approach with sensitivity, bootstrapping, and non-parametric analysis"],"prefix":"10.1007","volume":"106","author":[{"given":"Mandeep","family":"Kumar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gagandeep","family":"Kaur","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prashant Singh","family":"Rana","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,6]]},"reference":[{"key":"1342_CR1","unstructured":"Amazon Web Services (AWS) (2024) Instance types. https:\/\/aws.amazon.com\/ec2\/instance-type. Accessed 10 Aug 2024"},{"key":"1342_CR2","unstructured":"Microsoft Azure Virtual Machines (2024) https:\/\/azure.microsoft.com\/en-in\/pricing\/details\/virtual-machines\/series. Accessed 10 Aug 2024"},{"key":"1342_CR3","unstructured":"Google Cloud Platform (GCP) (2024) GPU machine types. https:\/\/cloud.google.com\/compute\/docs\/gpus. Accessed 10 Aug 2024"},{"key":"1342_CR4","unstructured":"Oracle Cloud Infrastructure (OCI) (2024) GPU instances. https:\/\/www.oracle.com\/in\/cloud\/compute\/gpu. Accessed 10 Aug 2024"},{"key":"1342_CR5","doi-asserted-by":"crossref","unstructured":"Hwang C-L, Yoon K (1981) Methods for multiple attribute decision making. Lecture notes in economics and mathematical systems, 186","DOI":"10.1007\/978-3-642-48318-9"},{"key":"1342_CR6","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/s10723-016-9363-1","volume":"15","author":"J Sidhu","year":"2017","unstructured":"Sidhu J, Singh S (2017) Improved topsis method based trust evaluation framework for determining trustworthiness of cloud service providers. J Grid Comput 15:81\u2013105","journal-title":"J Grid Comput"},{"key":"1342_CR7","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/s10723-017-9396-0","volume":"15","author":"J Sidhu","year":"2017","unstructured":"Sidhu J, Singh S (2017) Design and comparative analysis of mcdm-based multi-dimensional trust evaluation schemes for determining trustworthiness of cloud service providers. J Grid Comput 15:197\u2013218","journal-title":"J Grid Comput"},{"key":"1342_CR8","doi-asserted-by":"publisher","first-page":"71851","DOI":"10.1109\/ACCESS.2020.2987111","volume":"8","author":"AE Youssef","year":"2020","unstructured":"Youssef AE (2020) An integrated mcdm approach for cloud service selection based on topsis and bwm. IEEE Access 8:71851\u201371865","journal-title":"IEEE Access"},{"key":"1342_CR9","doi-asserted-by":"publisher","first-page":"748","DOI":"10.1080\/00207543.2019.1600760","volume":"58","author":"Y Hu","year":"2019","unstructured":"Hu Y, Wu L, Shi C, Wang Y, Zhu F (2019) Research on optimal decision-making of cloud manufacturing service provider based on grey correlation analysis and topsis. Int J Prod Res 58:748\u2013757","journal-title":"Int J Prod Res"},{"key":"1342_CR10","doi-asserted-by":"publisher","first-page":"4701","DOI":"10.1007\/s00500-018-3120-2","volume":"23","author":"C Jatoth","year":"2019","unstructured":"Jatoth C, Gangadharan GR, Fiore U, Buyya R (2019) Selcloud: a hybrid multi-criteria decision-making model for selection of cloud services. Soft Comput 23:4701\u20134715","journal-title":"Soft Comput"},{"key":"1342_CR11","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1007\/s11227-020-03284-0","volume":"77","author":"RK Tiwari","year":"2021","unstructured":"Tiwari RK, Kumar R (2021) G-topsis: a cloud service selection framework using gaussian topsis for rank reversal problem. J Supercomput 77:523\u2013562","journal-title":"J Supercomput"},{"key":"1342_CR12","doi-asserted-by":"publisher","first-page":"51","DOI":"10.31181\/dmame1802050m","volume":"1","author":"I Mukhametzyanov","year":"2018","unstructured":"Mukhametzyanov I, Pamucar D (2018) A sensitivity analysis in mcdm problems: a statistical approach. Decis Mak Appl Manag Eng 1:51\u201380","journal-title":"Decis Mak Appl Manag Eng"},{"key":"1342_CR13","doi-asserted-by":"crossref","unstructured":"Makwe A, Kanungo P, Kautis S, Madhu G, Almazyad AS, Xiong G, Mohamed AW (2024) Cloud service prioritization using a multi-criteria decision-making technique in a cloud computing environment. Ain Shams Eng J 15","DOI":"10.1016\/j.asej.2024.102785"},{"key":"1342_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1214\/aos\/1176344552","volume":"7","author":"B Efron","year":"1979","unstructured":"Efron B (1979) Bootstrap methods: another look at the jackknife. Ann Statist 7:1\u201326","journal-title":"Ann Statist"},{"key":"1342_CR15","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1214\/aoms\/1177731944","volume":"11","author":"M Friedman","year":"1940","unstructured":"Friedman M (1940) A comparison of alternative tests of significance for the problem of m rankings. Ann Math Stat 11:86\u201392","journal-title":"Ann Math Stat"},{"key":"1342_CR16","doi-asserted-by":"crossref","unstructured":"Whaiduzzaman M, Gani A, Anuar NB, Shiraz M, Haque MN, Haque IT (2014) Cloud service selection using multicriteria decision analysis. Sci World J 2014","DOI":"10.1155\/2014\/459375"},{"key":"1342_CR17","doi-asserted-by":"crossref","unstructured":"Basu A, Ghosh S (2018) Implementing fuzzy topsis in cloud type and service provider selection. Adv Fuzzy Syst 2018","DOI":"10.1155\/2018\/2503895"},{"key":"1342_CR18","doi-asserted-by":"publisher","first-page":"1123","DOI":"10.1007\/s00607-021-01049-y","volume":"104","author":"SS Shariat","year":"2022","unstructured":"Shariat SS, Barekatain B (2022) Hatmog: an enhanced hybrid task assignment algorithm based on ahp-topsis and multi-objective genetic in cloud computing. Computing 104:1123\u20131154","journal-title":"Computing"},{"key":"1342_CR19","doi-asserted-by":"publisher","first-page":"3869","DOI":"10.1007\/s10586-022-03793-y","volume":"26","author":"A Tomar","year":"2023","unstructured":"Tomar A, Kumar RR, Gupta I (2023) Decision making for cloud service selection: a novel and hybrid mcdm approach. Clust Comput 26:3869\u20133887","journal-title":"Clust Comput"},{"key":"1342_CR20","doi-asserted-by":"crossref","unstructured":"Gireesha O, Somu N, Krithivasan K, VS, SS (2020) Iivifs-waspas: an integrated multi-criteria decision-making perspective for cloud service provider selection. Future Gener Comput Syst 103, 91\u2013110","DOI":"10.1016\/j.future.2019.09.053"},{"key":"1342_CR21","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.future.2018.10.023","volume":"93","author":"A Al-Faifi","year":"2019","unstructured":"Al-Faifi A, Song B, Hassan MM, Alamri A, Gumaei A (2019) A hybrid multi criteria decision method for cloud service selection from smart data. Future Gener Comput Syst 93:43\u201357","journal-title":"Future Gener Comput Syst"},{"key":"1342_CR22","doi-asserted-by":"crossref","unstructured":"Thakur N, Singh A, Sangal AL (2022) Cloud services selection: a systematic review and future research directions. Comput Sci Rev 46","DOI":"10.1016\/j.cosrev.2022.100514"},{"key":"1342_CR23","first-page":"1555","volume":"14","author":"MZ Hasan","year":"2022","unstructured":"Hasan MZ, Uddin MS, Islam MS (2022) An expert system for selecting optimal cloud-service provider. Int J Inf Technol 14:1555\u20131563","journal-title":"Int J Inf Technol"},{"key":"1342_CR24","doi-asserted-by":"publisher","first-page":"120508","DOI":"10.1109\/ACCESS.2019.2937511","volume":"7","author":"W Liu","year":"2019","unstructured":"Liu W, Wang P, Meng Y, Zhao Q, Zhao C, Zhang Z (2019) A novel model for optimizing selection of cloud instance types. IEEE Access 7:120508\u2013120521","journal-title":"IEEE Access"},{"key":"1342_CR25","unstructured":"Amazon Web Services (AWS) (2024) https:\/\/aws.amazon.com. Accessed 10 Aug 2024"},{"key":"1342_CR26","unstructured":"Microsoft Azure (2024) https:\/\/azure.microsoft.com. Accessed 10 Aug 2024"},{"key":"1342_CR27","unstructured":"Google Cloud Platform (GCP) (2024) https:\/\/cloud.google.com. Accessed 10 Aug 2024"},{"key":"1342_CR28","unstructured":"Oracle Cloud Infrastructure (OCI) (2024) https:\/\/www.oracle.com\/in\/cloud. Accessed 10 Aug 2024"},{"key":"1342_CR29","unstructured":"Kumar M (2024) TOPSIS-GPU-analysis. GitHub repository. https:\/\/github.com\/mkhpc\/topsis-gpu-analysis"},{"key":"1342_CR30","unstructured":"Amazon Web Services (AWS) (2024) Pricing. https:\/\/aws.amazon.com\/ec2\/pricing\/on-demand. Accessed 10 Aug 2024"},{"key":"1342_CR31","unstructured":"Microsoft Azure Pricing (2024) https:\/\/azure.microsoft.com\/en-us\/pricing\/calculator. Accessed 10 Aug 2024"},{"key":"1342_CR32","unstructured":"Google Cloud Platform (GCP) (2024) Pricing. https:\/\/cloud.google.com\/compute\/all-pricing. Accessed 10 Aug 2024"},{"key":"1342_CR33","unstructured":"Oracle Cloud Infrastructure (OCI) (2024) GPU Pricing. https:\/\/www.oracle.com\/in\/cloud\/compute\/gpu\/pricing. Accessed 10 Aug 2024"}],"container-title":["Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-024-01342-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00607-024-01342-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-024-01342-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T14:09:01Z","timestamp":1730988541000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00607-024-01342-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,6]]},"references-count":33,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["1342"],"URL":"https:\/\/doi.org\/10.1007\/s00607-024-01342-6","relation":{},"ISSN":["0010-485X","1436-5057"],"issn-type":[{"value":"0010-485X","type":"print"},{"value":"1436-5057","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,6]]},"assertion":[{"value":"22 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 August 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 September 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}