Amazon EC2 web site. https://aws.amazon.com/es/ec2/. Accessed 29 Dec 2018
Apache Mesos web site. http://mesos.apache.org/. Accessed 29 Dec 2018
Chronos web site. https://mesos.github.io/chronos/. Accessed 29 Dec 2018
[+]
Amazon EC2 web site. https://aws.amazon.com/es/ec2/. Accessed 29 Dec 2018
Apache Mesos web site. http://mesos.apache.org/. Accessed 29 Dec 2018
Chronos web site. https://mesos.github.io/chronos/. Accessed 29 Dec 2018
Cloudbiolinux web site. http://cloudbiolinux.org/. Accessed 29 Dec 2018
Cloudman web site. https://galaxyproject.org/cloudman. Accessed 29 Dec 2018
Eucalyptus web site. https://www.eucalyptus.cloud/. Accessed 29 Dec 2018
Galaxy Platform web site. https://galaxyproject.org. Accessed 29 Dec 2018
Imagej web site. https://imagej.nih.gov/ij/. Accessed 29 Dec 2018
Kubernetes web site. https://kubernetes.io. Accessed 29 Dec 2018
Linux containers. https://linuxcontainers.org/. Accessed 29 Dec 2018
LXD documentation. https://lxd.readthedocs.io/. Accessed 29 Dec 2018
Marathon. https://mesosphere.github.io/marathon/. Accessed 29 Dec 2018
Nomad web site. https://www.nomadproject.io/. Accessed 29 Dec 2018
OpenFaas web site. https://www.openfaas.com/. Accessed 29 Dec 2018
OpenStack web site. https://www.openstack.org/. Accessed 29 Dec 2018
de Alfonso, C., Caballer, M., Calatrava, A., Moltó, G., Blanquer, I.: Multi-elastic Datacenters: auto-scaled virtual clusters on energy-aware physical infrastructures. J. Grid Comput. (2018). https://doi.org/10.1007/s10723-018-9449-z
Caballer, M., Blanquer, I., Moltó, G., de Alfonso, C.: Dynamic management of virtual infrastructures. J. Grid Comput. 13(1), 53–70 (2015). https://doi.org/10.1007/s10723-014-9296-5
Calatrava, A., Romero, E., Moltó, G., Caballer, M., Alonso, J.M.: Self-managed cost-efficient virtual elastic clusters on hybrid Cloud infrastructures. Future Gener. Comput. Syst. 61, 13–25 (2016). https://doi.org/10.1016/j.future.2016.01.018
De Alfonso, C., Caballer, M., Alvarruiz, F., Hernández, V.: An energy management system for cluster infrastructures. Comput. Electr. Eng. 39, 2579–2590 (2013). https://doi.org/10.1016/j.compeleceng.2013.05.004
Dutka, Ł., et al.: Onedata - a step forward towards globalization of data access for computing infrastructures. Procedia Comput. Sci. 51, 2843–2847 (2015). https://doi.org/10.1016/j.procs.2015.05.445. International Conference On Computational Science, ICCS 2015
European Society of Radiology (ESR): White paper on imaging biomarkers. Insights Imaging 1(2), 42–45 (2010). https://doi.org/10.1007/s13244-010-0025-8
Lee, H.: Using Bioinformatics Applications on the Cloud (2013). http://dsc.soic.indiana.edu/publications/bioinformatics.pdf. Accessed 29 Dec 2018
Docker Inc.: Docker. https://www.docker.com/. Accessed 29 Dec 2018
Kurtzer, G.M., Sochat, V., Bauer, M.W.: Singularity: scientific containers for mobility of compute. PLOS ONE 12(5), 1–20 (2017). https://doi.org/10.1371/journal.pone.0177459
López-Huguet, S., et al.: A self-managed Mesos cluster for data analytics with QoS guarantees. Future Gener. Comput. Syst. 96, 449–461 (2019). https://doi.org/10.1016/j.future.2019.02.047
Martí-Bonmatí, L., García-Martí, G., Alberich-Bayarri, A., Sanz-Requena, R.: QUIBIM SL.: Método de segmentación por umbral adaptativo variable para la obtención de valores de referencia del aire corte a corte en estudios de imagen por tomografía computarizada, ES 2530424B1, 02 September 2013
Martí-Bonmatí, L., Alberich-Bayarri, A.: Imaging Biomarkers: Development and Clinical Integration. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-43504-6
Marwan, M., Kartit, A., Ouahmane, H.: Using cloud solution for medical image processing: issues and implementation efforts. In: 2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech). IEEE, October 2017. https://doi.org/10.1109/cloudtech.2017.8284703
Mayorga-Ruiz, I., García-Juan, D., Alberich-Bayarri, A., García-Castro, F., Martí-Bonmatí, L.: Fully automated method for lung emphysema quantification for Multidetector CT images. http://quibim.com/wp-content/uploads/2018/02/ECR_Fully-automated-quantification-of-lung-emphysema-using-CT-images.pdf. Accessed 22 Mar 2019
Mirarab, A., Fard, N.G., Shamsi, M.: A cloud solution for medical image processing. Int. J. Eng. Res. Appl. 4(7), 74–82 (2014)
Pérez, A., Moltó, G., Caballer, M., Calatrava, A.: Serverless computing for container-based architectures. Future Gener. Comput. Syst. 83, 50–59 (2018). https://doi.org/10.1016/j.future.2018.01.022
Shakil, K.A., Alam, M.: Cloud computing in bioinformatics and big data analytics: current status and future research. In: Aggarwal, V.B., Bhatnagar, V., Mishra, D.K. (eds.) Big Data Analytics. AISC, vol. 654, pp. 629–640. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-6620-7_60
Weil, S.A., Brandt, S.A., Miller, E.L., Long, D.D.E., Maltzahn, C.: Ceph: a scalable, high-performance distributed file system. In: Proceedings of the 7th Symposium on Operating Systems Design and Implementation, OSDI 2006, pp. 307–320. USENIX Association, Berkeley (2006). http://dl.acm.org/citation.cfm?id=1298455.1298485
[-]