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A cloud-based framework for machine learning workloads and applications

  1. TitleA cloud-based framework for machine learning workloads and applications
    Author López García Álvaro
    Co-authors Marco de Lucas Jesús

    Antonacci Marica

    zu Castell Wolfgang

    David Mario

    Hardt Marcus

    Lloret Lara

    Moltó Germán

    Plociennik Marcin

    Tran Viet 1972- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID

    Alic Andy S.

    Caballer Miguel

    Campos Isabel

    Costantini Alessandro

    Dlugolinský Štefan 1983- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID

    Duma Cristina

    Donvito Giacinto

    Gomes Jorge

    Heredia Ignacio

    Ito Keiichi

    Kozlov Valentin

    Nguyen Giang 1972- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID

    Orviz Pablo

    Šustr Zdeněk

    Wolniewicz Pawel

    Source document IEEE Access. Vol. 8, no. 1 (2020), p. 18681-18692
    Languageeng - English
    URLURL link
    Document kindrozpis článkov z periodík (rbx)
    CitationsCLARK, Sierra N. - ALLI, Abosede S. - BRAUER, Michael - EZZATI, Majid - BAUMGARTNER, Jill - TOLEDANO, Mireille B. - HUGHES, Allison F. - NIMO, James - BEDFORD MOSES, Josephine - TERKPERTEY, Solomon - VALLARINO, Jose - AGYEI-MENSAH, Samuel - AGYEMANG, Ernest - NATHVANI, Ricky - MULLER, Emily - BENNETT, James - WANG, Jiayuan - BEDDOWS, Andrew - KELLY, Frank - BARRATT, Benjamin - BEEVERS, Sean - ARKU, Raphael E. High-resolution spatiotemporal measurement of air and environmental noise pollution in Sub-Saharan African cities: Pathways to Equitable Health Cities Study protocol for Accra, Ghana. In BMJ OPEN. ISSN 2044-6055, 2020, vol. 10, no. 8, pp.
    DIAZ-DE-ARCAYA, Josu - MINON, Raul - TORRE-BASTIDA, Ana - DEL SER, Javier - ALMEIDA, Aitor. PADL: A Modeling and Deployment Language for Advanced Analytical Services dagger. In SENSORS, 2020, vol. 20, no. 23, pp.
    DARADKEH, Tariq - AGARWAL, Anjali - ZAMAN, Marzia - GOEL, Nishith. Dynamic K-Means Clustering of Workload and Cloud Resource Configuration for Cloud Elastic Model. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, no., pp. 219430-219446.
    PERIOLA, A. A. - ALONGE, A. A. - OGUDO, K. A. Intelligent scheduling for stratosphere cloud platforms. In 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 Proceedings, 2020-08-01, pp.
    LIU, Y. - LING, Z. - HUO, B. - WANG, B. - CHEN, T. - MOUINE, E. Building a platform for machine learning operations from open source frameworks. In IFAC-PapersOnLine. ISSN 2405-8963, 2020, vol. 53, no. 5, pp. 704-709.
    LIN, Changyuan - KHAZAEI, Hamzeh. Modeling and Optimization of Performance and Cost of Serverless Applications. In IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS. ISSN 1045-9219, 2021, vol. 32, no. 3, pp. 615-632.
    DIAMANTIS, Dimitrios E. - IAKOVIDIS, Dimitris K. ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning. In IEEE ACCESS. ISSN 2169-3536, 2021, vol. 9, no., pp. 51970-51982.
    RAMACHANDRA, Hv - BALARAJU, G. - DIVYASHREE, R. - PATIL, Harish. Design and Simulation of Loan Approval Prediction Model using AWS Platform. In 2021 INTERNATIONAL CONFERENCE ON EMERGING SMART COMPUTING AND INFORMATICS (ESCI), 2021, vol., no., pp. 53-56.
    HAYMOND, Shannon - MCCUDDEN, Christopher. Rise of the Machines: Artificial Intelligence and the Clinical Laboratory. In JOURNAL OF APPLIED LABORATORY MEDICINE. ISSN 2576-9456, 2021, vol. 6, no. 6, pp. 1640-1654. Dostupné na: https://doi.org/10.1093/jalm/jfab075.
    CLARK, Sierra N. - ALLI, Abosede S. - NATHVANI, Ricky - HUGHES, Allison - EZZATI, Majid - BRAUER, Michael - TOLEDANO, Mireille B. - BAUMGARTNER, Jill - BENNETT, James E. - NIMO, James - MOSES, Josephine Bedford - BAAH, Solomon - AGYEI-MENSAH, Samuel - OWUSU, George - CROFT, Briony - ARKU, Raphael E. Space-time characterization of community noise and sound sources in Accra, Ghana. In SCIENTIFIC REPORTS. ISSN 2045-2322, 2021, vol. 11, no. 1, pp.
    DHAYA, R. - KANTHAVEL, R. Cloud-based multiple importance sampling algorithm with AI based CNN classifier for secure infrastructure. In AUTOMATED SOFTWARE ENGINEERING. ISSN 0928-8910, 2021, vol. 28, no. 2, pp.
    ROBERTSON, James - FOSSACECA, John - BENNETT, Kelly. A Cloud-Based Computing Framework for Artificial Intelligence Innovation in Support of Multidomain Operations. In IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT. ISSN 0018-9391, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1109/TEM.2021.3088382.
    TANGARO, Marco Antonio - MANDREOLI, Pietro - CHIARA, Matteo - DONVITO, Giacinto - ANTONACCI, Marica - PARISI, Antonio - BIANCO, Angelica - ROMANO, Angelo - BIANCHI, Daniela Manila - CANGELOSI, Davide - UVA, Paolo - MOLINERIS, Ivan - NOSI, Vladimir - CALOGERO, Raffaele A. - ALESSANDRI, Luca - PEDRINI, Elena - MORDENTI, Marina - BONETTI, Emanuele - SANGIORGI, Luca - PESOLE, Graziano - ZAMBELLI, Federico. Laniakea@ReCaS: exploring the potential of customisable Galaxy on-demand instances as a cloud-based service. In BMC BIOINFORMATICS. ISSN 1471-2105, 2021, vol. 22, no. SUPPL 15, pp. Dostupné na: https://doi.org/10.1186/s12859-021-04401-3.
    MOHAMMAD, Abdul Salam - PRADHAN, Manas Ranjan. Machine learning with big data analytics for cloud security. In COMPUTERS & ELECTRICAL ENGINEERING. ISSN 0045-7906, 2021, vol. 96, no., pp. Dostupné na: https://doi.org/10.1016/j.compeleceng.2021.107527.
    GONZALEZ-VIDAL, Aurora - GOMEZ-BERNAL, Paula - MENDOZA-BERNAL, Jose - SKARMETA, Antonio F. BIGcoldTRUCKS: a BIG data dashboard for the management of COLD chain logistics in refrigerated TRUCKS. In 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2021, vol., no., pp. 2894-2900. ISSN 2639-1589. Dostupné na: https://doi.org/10.1109/BigData52589.2021.9671633.
    LI, Baolin - ROY, Rohan Basu - PATEL, Tirthak - GADEPALLY, Vijay - GETTINGS, Karen - TIWARI, Devesh. Ribbon: Cost-effective and qos-Aware deep learning model inference using a diverse pool of cloud computing instances. In International Conference for High Performance Computing, Networking, Storage and Analysis, SC. ISSN 21674329, 2021-11-14, pp. Dostupné na: https://doi.org/10.1145/3458817.3476168.
    NANDIGRAMWAR, Harshal - MITTAL, Akshay - BHATNAGAR, Apoorv - RASHID, Mamoon. A distributed and unified API service for machine learning models. In Proceedings of 2021 2nd International Conference on Intelligent Engineering and Management, ICIEM 2021, 2021-04-28, pp. 480-485. Dostupné na: https://doi.org/10.1109/ICIEM51511.2021.9445348.
    MATSUI, B.M.A. - GOYA, D.H. Applying DevOps to machine learning processes: A systematic mapping. In Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional. SBC. 2021, pp. 559-570. doi: 10.5753/eniac.2021.18284.
    AGUIAR, C.S.R. Desafios na adoção de MLOps por time DevOps-projeto de co-desenvolvimento entre Governo e Academia para a introdução de e-gov 3.0. In Anais Estendidos do XI Congresso Brasileiro de Software: Teoria e Prática (CBSoft 2020). 2020, pp. 144-147. doi: 10.5753/cbsoft_estendido.2020.14623.
    PARISA, V.V.K. - TAYLOR, B.G. - CHOUDHURI, D.R. - SWIFT, L. - ALLEN, C. - MOHAPATRA, B. Automating an adoption of cloud services. October 19, 2021, United States Patent No. 11150880 B1.
    WITANTO, Elizabeth Nathania - OKTIAN, Yustus Eko - LEE, Sang-Gon. Toward Data Integrity Architecture for Cloud-Based AI Systems. In SYMMETRY-BASEL, 2022, vol. 14, no. 2, pp. Dostupné na: https://doi.org/10.3390/sym14020273.
    MARTINEZ-FERNANDEZ, Silverio - BOGNER, Justus - FRANCH, Xavier - ORIOL, Marc - SIEBERT, Julien - TRENDOWICZ, Adam - VOLLMER, Anna Maria - WAGNER, Stefan. Software Engineering for AI-Based Systems: A Survey. In ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 2022, vol. 31, no. 2, pp. ISSN 1049-331X. Dostupné na: https://doi.org/10.1145/3487043.
    HUSSEIN, Mahmoud - MOHAMMED, Yehia Sayed - GALAL, Ahmed - ABD-ELRAHMAN, Emad - ZORKANY, Mohamed. Smart Cognitive IoT Devices Using Multi-Layer Perception Neural Network on Limited Microcontroller. In SENSORS, 2022, vol. 22, no. 14, pp. Dostupné na: https://doi.org/10.3390/s22145106.
    ORUCHE, Roland - MILMAN, Eric - ALARCON, Mauro Lemus - CHENG, Xiyao - PANDEY, Ashish - WANG, Songjie - CALYAM, Prasad - KEE, Kerk. Science gateway adoption using plug-in middleware for evidence-based healthcare data management. In CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, vol., no., pp. ISSN 1532-0626. Dostupné na: https://doi.org/10.1002/cpe.7195.
    MATEUS-COELHO, Nuno - CRUZ-CUNHA, Manuela. Serverless Service Architectures and Security Minimals. In 2022 10TH INTERNATIONAL SYMPOSIUM ON DIGITAL FORENSICS AND SECURITY (ISDFS), 2022, vol., no., pp. Dostupné na: https://doi.org/10.1109/ISDFS55398.2022.9800779.
    KHEIR, Ahmed M. S. - AMMAR, Khalil A. - AMER, Ahmed - ALI, Marwa G. M. - DING, Zheli - ELNASHAR, Abdelrazek. Machine learning-based cloud computing improved wheat yield simulation in arid regions. In COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, vol. 203, no., pp. ISSN 0168-1699. Dostupné na: https://doi.org/10.1016/j.compag.2022.107457.
    VAN DUNG NGUYEN - HUYNH VAN KHOA - TAM NGUYEN KIEU - EUI-NAM HUH. Internet of Things-Based Intelligent Attendance System: Framework, Practice Implementation, and Application. In ELECTRONICS, 2022, vol. 11, no. 19, pp. Dostupné na: https://doi.org/10.3390/electronics11193151.
    BARRAK, Amine - PETRILLO, Fabio - JAAFAR, Fehmi. Serverless on Machine Learning: A Systematic Mapping Study. In IEEE ACCESS, 2022, vol. 10, no., pp. 99337-99352. ISSN 2169-3536. Dostupné na: https://doi.org/10.1109/ACCESS.2022.3206366.
    LIMA, Anderson - MONTEIRO, Luciano - FURTADO, Ana. MLOps: Practices, Maturity Models, Roles, Tools, and Challenges A Systematic Literature Review. In ICEIS: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS VOL 1, 2022, vol., no., pp. 308-320. Dostupné na: https://doi.org/10.5220/0010997300003179.
    KOLLTVEIT, Ask Berstad - LI, Jingyue. Operationalizing Machine Learning Models A Systematic Literature Review. In 2022 IEEE/ACM 1ST INTERNATIONAL WORKSHOP ON SOFTWARE ENGINEERING FOR RESPONSIBLE ARTIFICIAL INTELLIGENCE (SE4RAI 2022), 2022, vol., no., pp. 1-8. Dostupné na: https://doi.org/10.1145/3526073.3527584.
    MENG, Fan - HU, Kunrong - ZHOU, Xiaotao. An Overview of PAI: Distributed Machine Learning Platform. In IMCEC 2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference, 2022-01-01, pp. 852-857. Dostupné na: https://doi.org/10.1109/IMCEC55388.2022.10020005.
    LEMUS ALARCON, Mauro - ORUCHE, Roland - PANDEY, Ashish - CALYAM, Prasad. Cloud-based data pipeline orchestration platform for COVID-19 evidence-based analytics. In Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19, 2022-01-01, pp. 159-180. Dostupné na: https://doi.org/10.1016/B978-0-323-90054-6.00003-9.
    FERREIRA, D.J. - SÃO MAMEDE, H. Predicting cybersecurity risk - a methodology for assessments. In ARIS2-Advanced Research on Information Systems Security. 2022, vol. 2, no. 2, pp. 50-63. doi: 10.56394/aris2.v2i2.23.
    KREUZBERGER, D. - KüHL, N. - HIRSCHL, S. Machine Learning Operations (MLOps): Overview, Definition, and Architecture. In IEEE ACCESS. ISSN 2169-3536, 2023, vol. 11, p. 31866-31879. Dostupné na: https://doi.org/10.1109/ACCESS.2023.3262138.
    SADEGHIAN, G. - ELSAKHAWY, M. - SHAHRAD, M. - HATTORI, J. - SHAHRAD, M. UnFaaSener: Latency and Cost Aware Offloading of Functions from Serverless Platforms. In PROCEEDINGS OF THE 2023 USENIX ANNUAL TECHNICAL CONFERENCE. 2023, p. 879-896.
    STEIDL, M. - FELDERER, M. - RAMLER, R. The pipeline for the continuous development of artificial intelligence models-Current state of research and practice. In JOURNAL OF SYSTEMS AND SOFTWARE. ISSN 0164-1212, MAY 2023, vol. 199. Dostupné na: https://doi.org/10.1016/j.jss.2023.111615.
    WANG, Z.Z. - SUN, H. - YANG, L.P. A Bibliometric Analysis of Research on Historical Buildings and Digitization. In BUILDINGS. JUL 2023, vol. 13, no. 7. Dostupné na: https://doi.org/10.3390/buildings13071607.
    COBO, M. - PÉREZ-ROJAS, F. - GUTIÉRREZ-RODRÍGUEZ, C. - HEREDIA, I. - MARAGAŇO-LIZAMA, P. - YUNG-MANRIQUEZ, F. - IGLESIAS, L.L. - VEGA, J.A. Novel deep learning method for coronary artery tortuosity detection through coronary angiography. In SCIENTIFIC REPORTS. ISSN 2045-2322, JUL 10 2023, vol. 13, no. 1. Dostupné na: https://doi.org/10.1038/s41598-023-37868-6.
    BEN DHAOU, Imed. Design and Implementation of an Internet-of-Things-Enabled Smart Meter and Smart Plug for Home-Energy-Management System. In ELECTRONICS, 2023, vol. 12, no. 19, pp.
    SAKTHIDEVI, I. - RAJKUMAR, G. Vinoth - SUNITHA, R. - SANGEETHA, A. - KRISHNAN, R. Santhana - SUNDARARAJAN, S. Machine Learning Orchestration in Cloud Environments: Automating the Training and Deployment of Distributed Machine Learning AI Model. In 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023 Proceedings, 2023-01-01, pp. 376-384. Dostupné na: https://doi.org/10.1109/I-SMAC58438.2023.10290278.
    HARISH, Manjunath - SELVARAJ, Saravana Kumar. Designing efficient streaming-data processing for intrusion avoidance and detection engines using entity selection and entity attribute approach. In AIP Conference Proceedings, 2023-08-24, 2790, 1, pp. ISSN 0094243X. Dostupné na: https://doi.org/10.1063/5.0152916.
    JAGATI, Anika - SUBBULAKSHMI, T. Building ML Workflow for Malware Images Classification using Machine Learning Services in Leading Cloud Platforms. In Proceedings of International Conference on Computational Intelligence and Sustainable Engineering Solution, CISES 2023, 2023-01-01, pp. 233-239. Dostupné na: https://doi.org/10.1109/CISES58720.2023.10183421.
    SINGH, Atul Kumar - KOSHY, Aditya Sam - GUPTA, Megha. Cloud Computing for Machine Learning and Cognitive Application. In Cloud-based Intelligent Informative Engineering for Society 5.0, 2023-01-01, pp. 107-122. Dostupné na: https://doi.org/10.1201/9781003213895-6.
    SHRIVASTAVA, A. - CHAKKARAVARTHY, M. - SHAH, M.A. Health monitoring based cognitive IoT using fast machine learning technique. In International Journal of Intelligent Systems and Applications in Engineering. ISSN 2147-6799, 2023, vol. 11, no. 6, pp. 720-729.
    SULTAN, N. Study on the design of algorithm based on machine learning to improve cloud computing. In Technium. 2023, vol. 10, pp. 38-50. doi: 10.47577/technium.v10i.8819.
    CategoryADCA - Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted)
    Category of document (from 2022)V3 - Vedecký výstup publikačnej činnosti z časopisu
    Type of documentčlánok
    Year2020
    Registered inWOS
    Registered inSCOPUS
    Registered inCCC
    DOI 10.1109/ACCESS.2020.2964386
    article

    article

    File nameAccessSizeDownloadedTypeLicense
    A Cloud-Based Framework for Machine Learning.pdfavailable1.9 MB3Publisher's version
    rokCCIFIF Q (best)JCR Av Jour IF PercSJRSJR Q (best)CiteScore
    A
    rok vydaniarok metrikyIFIF Q (best)SJRSJR Q (best)
    202020193.745Q10.775Q1
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