Bienvenido {#inicio}

En esta página, usted encontrara información relevante asociada al Mapeo Sistemático de las métricas de calidad interna y externa para servicios cloud, y la metodología de investigación

Indice

1. Protocolo de Búsqueda
2. Cadenas de busqueda bibliotecas digitales
3. Estudios primarios seleccionados
4. Criterios de extracción de datos
5. Clasificacion de Metricas

1. Protocolo de Búsqueda {#Protocolo}

El estudio de la población y la intervención es el siguiente:

• Población: Artículos científicos que presentan métricas para la evaluación de la calidad interna y externa de los servicios cloud.
• Intervención: Métricas de calidad que se utilizan para evaluar las característi-cas de calidad de los servicios cloud.
• Resultados: Análisis de un conjunto de métricas que sirvan de base para la elaboración de un modelo de calidad de servicios cloud alineado con la ISO/IEC 25010 y basado en la literatura.
• Contexto: Evaluación de calidad de los servicios cloud que proponen métricas para medir la calidad del servicio (QoS – Quality of Service).

Finalmente la cadena seleccionada fue la siguiente:

(((metric* OR measur*)) AND (QoS OR "quality of service" OR "quality model" OR "evaluation model" OR "as-sessment model" OR "quality in cloud" OR "quality of cloud") AND (cloud*))

La búsqueda se llevó a cabo utilizando el título, el resumen y las palabras clave de los artículos.
El período de búsqueda comprende desde el año 2006 hasta noviembre 2018.

2. Cadenas de busqueda bibliotecas digitales {#busqueda}

La lista de fuentes iniciales es la siguiente: IEEE Xplore, ACM Digital Library, ScienceDirect y SpringerLink

Biblioteca digital	Cadena de busqueda	Campos de busqueda	Restricciones
IEEE Xplore	((( "Document Title":metric* OR "Document Title":measur*)) AND ( "Document Title":QoS OR "Document Title":"quality of service" OR "Document Title":"quality model" OR "Document Title":"evaluation model" OR "Document Title":"assessment model" OR "Document Title":"quality in cloud" OR "Document Title":"quality of cloud") AND ( "Document Title":cloud*)) OR ((( "Publication Title":metric* OR "Publication Title":measur*)) AND ( "Publication Title":QoS OR "Publication Title":"quality of service" OR "Publication Title":"quality model" OR "Publication Title":"evaluation model" OR "Publication Title":"assessment model" OR "Publication Title":"quality in cloud" OR "Publication Title":"quality of cloud") AND ( "Publication Title":cloud*)))AND ((( "Abstract":metric* OR "Abstract":measur*)) AND ( "Abstract":QoS OR "Abstract":"quality of service" OR "Abstract":"quality model" OR "Abstract":"evaluation model" OR "Abstract":"assessment model" OR "Abstract":"quality in cloud" OR "Abstract":"quality of cloud") AND ( "Abstract":cloud*)) AND ((( "Author Keywords":metric* OR "Author Keywords":measur*)) AND ( "Author Keywords":QoS OR "Author Keywords":"quality of service" OR "Author Keywords":"quality model" OR "Author Keywords":"evaluation model" OR "Author Keywords":"assessment model" OR "Author Keywords":"quality in cloud" OR "Author Keywords":"quality of cloud") AND ( "Author Keywords":cloud*))	Títulos, resúmenes, y palabras claves	Content Type: Conference Publications and Journals & Magazines. Year: 2006-2018
ACM Digital Library	(((acmdlTitle:metric* OR acmdlTitle:measur*)) AND (acmdlTitle:QoS OR acmdlTitle:"quality of service" OR acmdlTitle:"quality model" OR acmdlTitle:"evaluation model" OR acmdlTitle:"assessment model" OR acmdlTitle:"quality in cloud" OR acmdlTitle:"quality of cloud") AND (acmdlTitle:cloud*)) OR (((recordAbstract:metric* OR recordAbstract:measur*)) AND (recordAbstract:QoS OR recordAbstract:"quality of service" OR recordAbstract:"quality model" OR recordAbstract:"evaluation model" OR recordAbstract:"assessment model" OR recordAbstract:"quality in cloud" OR recordAbstract:"quality of cloud") AND (recordAbstract:cloud*)) OR (((keywords.author.keyword:metric* OR keywords.author.keyword:measur*)) AND (keywords.author.keyword:QoS OR keywords.author.keyword:"quality of service" OR keywords.author.keyword:"quality model" OR keywords.author.keyword:"evaluation model" OR keywords.author.keyword:"assessment model" OR keywords.author.keyword:"quality in cloud" OR keywords.author.keyword:"quality of cloud") AND (keywords.author.keyword:cloud*))	Títulos, resúmenes, y palabras claves.	Published since: 2006
ScienceDirect	TITLE-ABSTR-KEY((((metric* OR measur*)) AND (QoS OR {quality of service} OR {quality model} OR {evaluation model} OR {quality in cloud} OR {quality of cloud}) AND (cloud*)))	Títulos, resúmenes, y palabras claves.	Pub-date > 2005. Content type: Journal.
SpringerLink	(((metric* OR measur*)) AND (QoS OR "quality of service" OR "quality model" OR "evaluation model" OR "quality in cloud" OR "quality of cloud") AND (cloud*))	Texto completo	Content Type: Article. Discipline: Computer Science Language: English.

Inicio

3. Estudios primarios seleccionados {#estudios}

Aqui se presenta la lista de estudios primarios que forman parte del mapeo sistemático.

No.	Información del Artículo
S01	Abdeladim, A., Baina, S., & Baina, K. (2014). Elasticity and scalability centric quality model for the cloud. In 2014 Third IEEE International Colloquium in Information Science and Technology (CIST) (pp. 135–140). http://doi.org/10.1109/CIST.2014.7016607
S02	Al-Jawad, A., Trestian, R., Shah, P., & Gemikonakli, O. (2015). BaProbSDN: A probabilistic-based QoS routing mechanism for Software Defined Networks. In Network Softwarization (NetSoft), 2015 1st IEEE Conference on (pp. 1–5). http://doi.org/10.1109/NETSOFT.2015.7116128
S03	de Oliveira Jr., F. A., & Ledoux, T. (2011). Self-management of Applications QoS for Energy Optimization in Datacenters. In Green Computing Middleware on Proceedings of the 2Nd International Workshop (pp. 3:1–3:6). New York, NY, USA: ACM. doi:10.1145/2088996.2088999
S04	Bao, D., Xiao, Z., Sun, Y., & Zhao, J. (2010). A method and framework for quality of cloud services measurement. In 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE) (Vol. 5, pp. V5–358–V5–362). http://doi.org/10.1109/ICACTE.2010.5579535
S05	Baranwal, G., & Vidyarthi, D. P. (2014). A framework for selection of best cloud service provider using ranked voting method. In Advance Computing Conference (IACC), 2014 IEEE International (pp. 831–837). http://doi.org/10.1109/IAdCC.2014.6779430
S06	Bardhan, S., & Milojicic, D. (2012). A Mechanism to Measure Quality-of-service in a Federated Cloud Environment. In Proceedings of the 2012 Workshop on Cloud Services, Federation, and the 8th Open Cirrus Summit (pp. 19–24). New York, NY, USA: ACM. doi:10.1145/2378975.2378981
S07	Bousselmi, K., Brahmi, Z., & Gammoudi, M. M. (2016). QoS-Aware Scheduling of Workflows in Cloud Computing Environments. In 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) (pp. 737–745). http://doi.org/10.1109/AINA.2016.72
S08	Bruneo, D. (2014). A Stochastic Model to Investigate Data Center Performance and QoS in IaaS Cloud Computing Systems. IEEE Transactions on Parallel and Distributed Systems, 25(3), 560–569. http://doi.org/10.1109/TPDS.2013.67
S09	Cedillo, P., Jimenez-Gomez, J., Abrahao, S., & Insfran, E. (2015). Towards a Monitoring Middleware for Cloud Services. In Services Computing (SCC), 2015 IEEE International Conference on (pp. 451–458). http://doi.org/10.1109/SCC.2015.68
S10	Cervino, J., Rodriguez, P., Trajkovska, I., Mozo, A., & Salvachua, J. (2011). Testing a Cloud Provider Network for Hybrid P2P and Cloud Streaming Architectures. In Cloud Computing (CLOUD), 2011 IEEE International Conference on (pp. 356–363). http://doi.org/10.1109/CLOUD.2011.52
S11	Choi, C.-R., & Jeong, H.-Y. (2014). Quality evaluation and best service choice for cloud computing based on user preference and weights of attributes using the analytic network process. Electronic Commerce Research, 14(3), 245–270. http://doi.org/10.1007/s10660-014-9156-1
S12	Costa, C. M., Leite, C. R. M., & Sousa, A. L. (2015). Service Response Time Measurement Model of Service Level Agreements in Cloud Environment. In 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity) (pp. 969–974). http://doi.org/10.1109/SmartCity.2015.196
S13	Dou, W., Xu, X., Meng, S., & Yu, S. (2015). An Energy-Aware QoS Enhanced Method for Service Computing across Clouds and Data Centers. In 2015 Third International Conference on Advanced Cloud and Big Data (pp. 80–87). http://doi.org/10.1109/CBD.2015.23
S14	Duggan, J., Cetintemel, U., Papaemmanouil, O., & Upfal, E. (2011). Performance Prediction for Concurrent Database Workloads. In Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data (pp. 337–348). New York, NY, USA: ACM. doi:10.1145/1989323.1989359
S15	Faragardi, H. R., Shojaee, R., Tabani, H., & Rajabi, A. (2013). An analytical model to evaluate reliability of cloud computing systems in the presence of QoS requirements. In Computer and Information Science (ICIS), 2013 IEEE/ACIS 12th International Conference on (pp. 315–321). http://doi.org/10.1109/ICIS.2013.6607860
S16	Feng, J., & Kong, L. (2015). A Fuzzy Multi-objective Genetic Algorithm for QoS-based Cloud Service Composition. In 2015 11th International Conference on Semantics, Knowledge and Grids (SKG) (pp. 202–206). http://doi.org/10.1109/SKG.2015.23
S17	Garg, S. K., Versteeg, S., & Buyya, R. (2013). A framework for ranking of cloud computing services. Future Generation Computer Systems, 29(4), 1012–1023. http://doi.org/http://dx.doi.org/10.1016/j.future.2012.06.006
S18	Ghafari, S. M., Fazeli, M., Patooghy, A., & Rikhtechi, L. (2013). Bee-MMT: A load balancing method for power consumption management in cloud computing. In Contemporary Computing (IC3), 2013 Sixth International Conference on (pp. 76–80). http://doi.org/10.1109/IC3.2013.6612165
S19	Gholami, A., & Arani, M. G. (2015). A trust model for resource selection in cloud computing environment. In 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI) (pp. 144–151). http://doi.org/10.1109/KBEI.2015.7436036
S20	Ghosh, R., Longo, F., Naik, V. K., & Trivedi, K. S. (2010). Quantifying Resiliency of IaaS Cloud. In Reliable Distributed Systems, 2010 29th IEEE Symposium on (pp. 343–347). http://doi.org/10.1109/SRDS.2010.49
S21	Guérout, T., Medjiah, S., Costa, G. Da, & Monteil, T. (2014). Quality of service modeling for green scheduling in Clouds. Sustainable Computing: Informatics and Systems, 4(4), 225–240. http://doi.org/http://dx.doi.org/10.1016/j.suscom.2014.08.006
S22	Hassam, M., Kara, N., Belqasmi, F., & Glitho, R. (2014). Virtualized Infrastructure for Video Game Applications in Cloud Environments. In Proceedings of the 12th ACM International Symposium on Mobility Management and Wireless Access (pp. 109–114). New York, NY, USA: ACM. doi:10.1145/2642668.2642679
S23	Hecht, G., Jose-Scheidt, B., Figueiredo, C. D., Moha, N., & Khomh, F. (2014). An Empirical Study of the Impact of Cloud Patterns on Quality of Service (QoS). In Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on (pp. 278–283). http://doi.org/10.1109/CloudCom.2014.141
S24	Heidari, P., Boucheneb, H., & Shami, A. (2015). A Formal Approach for QoS Assurance in the Cloud. In 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom) (pp. 629–634). http://doi.org/10.1109/CloudCom.2015.36
S25	Joy, N., Chandrasekaran, K., & Binu, A. (2015). A study on energy efficient cloud computing. In 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) (pp. 1–6). http://doi.org/10.1109/ICCIC.2015.7435661
S26	Karim, R., Ding, C., & Miri, A. (2015). End-to-End Performance Prediction for Selecting Cloud Services Solutions. In Service-Oriented System Engineering (SOSE), 2015 IEEE Symposium on (pp. 69–77). http://doi.org/10.1109/SOSE.2015.11
S27	Katsaros, G., Subirats, J., Fitó, J. O., Guitart, J., Gilet, P., & Espling, D. (2013). A service framework for energy-aware monitoring and VM management in Clouds. Future Generation Computer Systems, 29(8), 2077–2091. http://doi.org/http://dx.doi.org/10.1016/j.future.2012.12.006
S28	Kaur, P. D., & Chana, I. (2014). A resource elasticity framework for QoS-aware execution of cloud applications. Future Generation Computer Systems, 37, 14–25. http://doi.org/http://dx.doi.org/10.1016/j.future.2014.02.018
S29	Khan, H. M., Chan, G. Y., & Chua, F. F. (2016). An adaptive monitoring framework for ensuring accountability and quality of services in cloud computing. In 2016 International Conference on Information Networking (ICOIN) (pp. 249–253). http://doi.org/10.1109/ICOIN.2016.7427071
S30	Kirsal, Y., Ever, Y. K., Mostarda, L., & Gemikonakli, O. (2015). Analytical Modelling and Performability Analysis for Cloud Computing Using Queuing System. In 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC) (pp. 643–647). http://doi.org/10.1109/UCC.2015.115
S31	Klymash, M., Beshley, M., Strykhalyuk, B., & Maksymyuk, T. (2014). Research and development the methods of quality of service provision in Mobile Cloud systems. In Communications and Networking (BlackSeaCom), 2014 IEEE International Black Sea Conference on (pp. 160–164). http://doi.org/10.1109/BlackSeaCom.2014.6849030
S32	Lee, J. Y., Lee, J. W., Cheun, D. W., & Kim, S. D. (2009). A Quality Model for Evaluating Software-as-a-Service in Cloud Computing. In Software Engineering Research, Management and Applications, 2009. SERA ’09. 7th ACIS International Conference on (pp. 261–266). http://doi.org/10.1109/SERA.2009.43
S33	Lim, E., & Thiran, P. (2014). Communication of Technical QoS among Cloud Brokers. In Cloud Engineering (IC2E), 2014 IEEE International Conference on (pp. 403–409). http://doi.org/10.1109/IC2E.2014.92
S34	Lin, Y.-K., & Chang, P.-C. (2011). Maintenance reliability estimation for a cloud computing network with nodes failure. Expert Systems with Applications, 38(11), 14185–14189. http://doi.org/http://dx.doi.org/10.1016/j.eswa.2011.04.230
S35	Liu, M., Dou, W., Yu, S., & Zhang, Z. (2014). A clusterized firewall framework for cloud computing. In 2014 IEEE International Conference on Communications (ICC) (pp. 3788–3793). http://doi.org/10.1109/ICC.2014.6883911
S36	Manuel, P. (2015). A trust model of cloud computing based on Quality of Service. Annals of Operations Research, 233(1), 281–292. http://doi.org/10.1007/s10479-013-1380-x
S37	Mastelic, T., Brandic, I., & Jaarevic, J. (2014). CPU Performance Coefficient (CPU-PC): A Novel Performance Metric Based on Real-Time CPU Resource Provisioning in Time-Shared Cloud Environments. In Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on (pp. 408–415). http://doi.org/10.1109/CloudCom.2014.13
S38	Nadanam, P., & Rajmohan, R. (2012). QoS evaluation for web services in cloud computing. In Computing Communication Networking Technologies (ICCCNT), 2012 Third International Conference on (pp. 1–8). http://doi.org/10.1109/ICCCNT.2012.6395991
S39	Pedersen, J. M., Riaz, M. T., Junior, J. C., Dubalski, B., Ledzinski, D., & Patel, A. (2011). Assessing Measurements of QoS for Global Cloud Computing Services. In Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on (pp. 682–689). http://doi.org/10.1109/DASC.2011.120
S40	Qian, S., Cao, J., Le Mouël, F., Li, M., & Wang, J. (2015). Towards Prioritized Event Matching in a Content-based Publish/Subscribe System. In Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems (pp. 116–127). New York, NY, USA: ACM. doi:10.1145/2675743.2771823
S41	Ran, Y., Shi, Y., Yang, E., Chen, S., & Yang, J. (2014). Dynamic resource allocation for video transcoding with QoS guaranteeing in cloud-based DASH system. In 2014 IEEE Globecom Workshops (GC Wkshps) (pp. 144–149). http://doi.org/10.1109/GLOCOMW.2014.7063421
S42	Ravindran, K. (2013). Self-Assessment and Reconfiguration Methods for Autonomous Cloud-based Network Systems. In Distributed Simulation and Real Time Applications (DS-RT), 2013 IEEE/ACM 17th International Symposium on (pp. 87–94). http://doi.org/10.1109/DS-RT.2013.37
S43	Rizvi, S., Ryoo, J., Kissell, J., & Aiken, B. (2015). A Stakeholder-oriented Assessment Index for Cloud Security Auditing. In Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication (pp. 55:1–55:7). New York, NY, USA: ACM. doi:10.1145/2701126.2701226
S44	Roohitavaf, M., Entezari-Maleki, R., & Movaghar, A. (2013). Availability Modeling and Evaluation of Cloud Virtual Data Centers. In Parallel and Distributed Systems (ICPADS), 2013 International Conference on (pp. 675–680). http://doi.org/10.1109/ICPADS.2013.120
S45	Saiz, E., Ibarrola, E., Cristobo, L., & Taboada, I. (2014). A cloud platform for QoE evaluation: QoXcloud. In ITU Kaleidoscope Academic Conference: Living in a converged world - Impossible without standards?, Proceedings of the 2014 (pp. 241–247). http://doi.org/10.1109/Kaleidoscope.2014.6858471
S46	Samet, N., Letaïfa, A. Ben, Hamdi, M., & Tabbane, S. (2016). Real-Time User Experience Evaluation for Cloud-Based Mobile Video. In 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA) (pp. 204–208). http://doi.org/10.1109/WAINA.2016.120
S47	Singh, S., & Chana, I. (2015). Q-aware: Quality of service based cloud resource provisioning. Computers & Electrical Engineering, 47, 138–160. http://doi.org/http://dx.doi.org/10.1016/j.compeleceng.2015.02.003
S48	Son, S., & Sim, K. M. (2015). Adaptive and similarity-based tradeoff algorithms in a price-timeslot-QoS negotiation system to establish cloud SLAs. Information Systems Frontiers, 17(3), 565–589. http://doi.org/10.1007/s10796-013-9432-y
S49	Sousa, F. R. C., & Machado, J. C. (2012). Towards Elastic Multi-Tenant Database Replication with Quality of Service. In Utility and Cloud Computing (UCC), 2012 IEEE Fifth International Conference on (pp. 168–175). http://doi.org/10.1109/UCC.2012.36
S50	Vedam, V., & Vemulapati, J. (2012). Demystifying Cloud Benchmarking Paradigm - An in Depth View. In 2012 IEEE 36th Annual Computer Software and Applications Conference (pp. 416–421). http://doi.org/10.1109/COMPSAC.2012.61
S51	Viji Rajendran, V., & Swamynathan, S. (2015). Hybrid model for dynamic evaluation of trust in cloud services. Wireless Networks, 1–12. http://doi.org/10.1007/s11276-015-1069-y
S52	Wagle, S. S., Guzek, M., Bouvry, P., & Bisdorff, R. (2015). An Evaluation Model for Selecting Cloud Services from Commercially Available Cloud Providers. In 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom) (pp. 107–114). http://doi.org/10.1109/CloudCom.2015.94
S53	Wang, S., & Dey, S. (2012). Cloud Mobile Gaming: Modeling and Measuring User Experience in Mobile Wireless Networks. SIGMOBILE Mob. Comput. Commun. Rev., 16(1), 10–21. doi:10.1145/2331675.2331679
S54	Wen, Z. Y., & Hsiao, H. F. (2014). QoE-driven performance analysis of cloud gaming services. In Multimedia Signal Processing (MMSP), 2014 IEEE 16th International Workshop on (pp. 1–6). http://doi.org/10.1109/MMSP.2014.6958835
S55	Wu, X., Liu, G., & Xu, J. (2015). A QoS-constrained scheduling for access requests in cloud storage. In Industrial Electronics and Applications (ICIEA), 2015 IEEE 10th Conference on (pp. 155–160). http://doi.org/10.1109/ICIEA.2015.7334102
S56	Xia, Y., Zhou, M., Luo, X., Zhu, Q., Li, J., & Huang, Y. (2015). Stochastic Modeling and Quality Evaluation of Infrastructure-as-a-Service Clouds. IEEE Transactions on Automation Science and Engineering, 12(1), 162–170. http://doi.org/10.1109/TASE.2013.2276477
S57	Xiao, Y., Lin, C., Jiang, Y., Chu, X., & Shen, X. (2010). Reputation-Based QoS Provisioning in Cloud Computing via Dirichlet Multinomial Model. In Communications (ICC), 2010 IEEE International Conference on (pp. 1–5). http://doi.org/10.1109/ICC.2010.5502407
S58	Xiong, K., & Chen, X. (2015). Ensuring Cloud Service Guarantees via Service Level Agreement (SLA)-Based Resource Allocation. In 2015 IEEE 35th International Conference on Distributed Computing Systems Workshops (pp. 35–41). http://doi.org/10.1109/ICDCSW.2015.18
S59	Yu, N., Gu, F., Guo, X., & He, Z. (2015). A Fine-grained Flow Control Model for Cloud-assisted Data Broadcasting. In Proceedings of the 18th Symposium on Communications {&} Networking (pp. 24–31). San Diego, CA, USA: Society for Computer Simulation International. Retrieved from http://dl.acm.org/citation.cfm?id=2872550.2872554
S60	Zant, B. El, & Gagnaire, M. (2015). Towards a unified customer aware figure of merit for CSP selection. Journal of Cloud Computing, 4(1), 1–23. http://doi.org/10.1186/s13677-015-0049-1
S61	Zheng, X., Martin, P., & Brohman, K. (2013). Cloud Service Negotiation: A Research Roadmap. In Services Computing (SCC), 2013 IEEE International Conference on (pp. 627–634). http://doi.org/10.1109/SCC.2013.93
S62	Zheng, X., Martin, P., Brohman, K., & Xu, L. D. (2014). CLOUDQUAL: A Quality Model for Cloud Services. IEEE Transactions on Industrial Informatics, 10(2), 1527–1536. http://doi.org/10.1109/TII.2014.2306329
S63	Zhou, P., Wang, Z., Li, W., & Jiang, N. (2015). Quality Model of Cloud Service. In High Performance Computing and Communications (HPCC), 2015 IEEE 7th International Symposium on Cyberspace Safety and Security (CSS), 2015 IEEE 12th International Conferen on Embedded Software and Systems (ICESS), 2015 IEEE 17th International Conference on (pp. 1418–1423). http://doi.org/10.1109/HPCC-CSS-ICESS.2015.134
S64	Abrahão, S., & Insfran, E. (2017). Models@runtime for Monitoring Cloud Services in Google App Engine. In 2017 IEEE World Congress on Services (SERVICES) (pp. 30–35). https://doi.org/10.1109/SERVICES.2017.14
S65	Alam, A. F. B., Soltanian, A., Yangui, S., Salahuddin, M. A., Glitho, R., & Elbiaze, H. (2016). A Cloud Platform-as-a-Service for multimedia conferencing service provisioning. In 2016 IEEE Symposium on Computers and Communication (ISCC) (pp. 289–294). https://doi.org/10.1109/ISCC.2016.7543756
S66	Arumugam, K., & Sumathi, P. (2017). Secure and QoS guaranteed selection resource for storing health care information of cloud users. In 2017 International Conference on Computing Methodologies and Communication (ICCMC) (pp. 1165–1170). https://doi.org/10.1109/ICCMC.2017.8282657
S67	Ghahramani, M. H., Zhou, M., & Hon, C. T. (2017). Toward cloud computing QoS architecture: analysis of cloud systems and cloud services. IEEE/CAA Journal of Automatica Sinica, 4(1), 6–18. https://doi.org/10.1109/JAS.2017.7510313
S68	Gonzales, D., Kaplan, J. M., Saltzman, E., Winkelman, Z., & Woods, D. (2017). Cloud-Trust—a Security Assessment Model for Infrastructure as a Service (IaaS) Clouds. IEEE Transactions on Cloud Computing, 5(3), 523–536. https://doi.org/10.1109/TCC.2015.2415794
S69	Hasan, M. S., Alvares, F., Ledoux, T., & Pazat, J. (2017). Investigating Energy Consumption and Performance Trade-Off for Interactive Cloud Application. IEEE Transactions on Sustainable Computing, 2(2), 113–126. https://doi.org/10.1109/TSUSC.2017.2714959
S70	Hu, Y., Deng, B., Yang, Y., & Wang, D. (2017). Elasticity evaluation of IaaS cloud based on mixed workloads. In Proceedings - 15th International Symposium on Parallel and Distributed Computing, ISPDC 2016 (pp. 157–164). Beijing Institute of System Engineering, Beijing, China. https://doi.org/10.1109/ISPDC.2016.28
S71	Hwang, K., Bai, X., Shi, Y., Li, M., Chen, W.-G., & Wu, Y. (2016). Cloud Performance Modeling with Benchmark Evaluation of Elastic Scaling Strategies. IEEE Transactions on Parallel and Distributed Systems, 27(1), 130–143. https://doi.org/10.1109/TPDS.2015.2398438
S72	Ibrahim, A. A. Z. A., Wasim, M. U., Varrette, S., & Bouvry, P. (2018). PRESEnCE: Performance Metrics Models for Cloud SaaS Web Services. In 2018 IEEE 11th International Conference on Cloud Computing (CLOUD) (pp. 936–940). https://doi.org/10.1109/CLOUD.2018.00140
S73	Khurana, R., & Bawa, R. K. (2016). QoS based Cloud Service Selection paradigms. In 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) (pp. 174–179). https://doi.org/10.1109/CONFLUENCE.2016.7508109
S74	Liu, X., Xia, C., Wang, T., & Zhong, L. (2017). CloudSec: A Novel Approach to Verifying Security Conformance at the Bottom of the Cloud. In 2017 IEEE International Congress on Big Data (BigData Congress) (pp. 569–576). https://doi.org/10.1109/BigDataCongress.2017.87
S75	Souza, R. H. de, Flores, P. A., Dantas, M. A. R., & Siqueira, F. (2016). Architectural recovering model for Distributed Databases: A reliability, availability and serviceability approach. In 2016 IEEE Symposium on Computers and Communication (ISCC) (pp. 575–580). https://doi.org/10.1109/ISCC.2016.7543799
S76	Taherizadeh, S., & Stankovski, V. (2017). Incremental Learning from Multi-level Monitoring Data and Its Application to Component Based Software Engineering. In 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC) (Vol. 2, pp. 378–383). https://doi.org/10.1109/COMPSAC.2017.148
S77	Xu, H., Qiu, X., Sheng, Y., Luo, L., & Xiang, Y. (2018). A Qos-Driven Approach to the Cloud Service Addressing Attributes of Security. IEEE Access, 6, 34477–34487. https://doi.org/10.1109/ACCESS.2018.2849594
S78	Baranwal, G., & Vidyarthi, D. P. (2016). A cloud service selection model using improved ranked voting method. Concurrency and Computation: Practice and Experience, 28(13), 3540–3567. https://doi.org/10.1002/cpe.3740
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4. Criterios de extracción de datos {#criterios}

Los criterios aplicados para la seleccion de datos son:

Criterio	Posibles Respuestas
Característica y atributo de calidad evaluado	Adecuación Funcional, Eficiencia de desempeño, Compatibilidad, Usabilidad, Fiabilidad, Seguridad , Mantenibilidad, Portabilidad
Fase del ciclo de vida en el que se aplica la métrica	Requisitos, Adquisición, Desarrollo, Integración, Operación y Retiro
Artefacto sobre el cuál se realiza la medición	Especificación del servicio cloud, Arquitectura del servicio cloud, Servicio cloud
Tipo de servicio	Software como servicio – SaaS, Plataforma como servicio – PaaS, Infraestructura como servicio – IaaS
Punto de vista	Proveedor del servicio, Facilitador del servicio, Consumidor del servicio, Cliente final, Desarrollador del servicio
Procedimiento de validación de la métrica	Validación teórica, Validación empírica, No validada

5. Clasificación de Métricas {#clasificacion}

En esta sección se muestran las métricas recolectadas en los estudios primarios y su clasificación de acuerdo a los criterios de extracción de datos.

Apéndice 1

Contactos

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