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The influence of hardware and software information in the laaS services: an approach about performance in virtual machines in clouds.

. University of São Paulo, Brazil, (2016)ndltd.org (oai:agregador.ibict.br.BDTD_USP:oai:teses.usp.br:tde-09092016-163810).

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The influence of hardware and software information in the laaS services: an approach about performance in virtual machines in clouds.. University of São Paulo, Brazil, (2016)ndltd.org (oai:agregador.ibict.br.BDTD_USP:oai:teses.usp.br:tde-09092016-163810).The influence of resource allocation on cloud computing performance., , , , and . SAC, page 1516-1521. ACM, (2017)Avaliação de Algoritmos de Balanceamento de Carga para Ambientes em Nuvem., , , , , and . SBSI, page 356-363. (2017)A Fog Model for Dynamic Load Flow Analysis in Smart Grids., , , , and . ISCC, page 1-6. IEEE, (2018)Evaluation of Performance Saturation Using the Hadoop Framework., , , , , and . HPCS, page 1045-1050. IEEE, (2018)Heuristic Performance Evaluation for Load Balancing in Cloud., , , , , and . HPCS, page 593-600. IEEE, (2018)Corrigendum to Ä QoS-driven approach for cloud computing addressing attributes of performance and security" Future Gener. Comput. Syst. 68 (March) (2017) 260-274., , , , and . Future Gener. Comput. Syst., (2017)Performance Evaluation of Machine Learning Techniques for Fault Diagnosis in Vehicle Fleet Tracking Modules., , , , , , , and . Comput. J., 65 (8): 2073-2086 (2022)Design and implementation of fault tolerance techniques to improve QoS in SOA., , , , , , , , , and . CNSM, page 37-45. IEEE Computer Society, (2014)Predictive Dynamic Algorithm: An Approach toward QoS-Aware Service for IoT-Cloud Environment., , , , , and . CIT, page 686-693. IEEE Computer Society, (2016)