A Cloud Architecture for the Execution of Medical Imaging Biomarkers

Digital Medical Imaging is increasingly being used in clinical routine and research. As a consequence, the workload in medical imaging departments in hospitals has multiplied by over 20 in the last decade. Medical Image processing requires intensive computing resources not available at hospitals, but which could be provided by public clouds. The article analyses the requirements of processing digital medical images and introduces a cloud-based architecture centred on a DevOps approach to deploying resources on demand, adjusting them based on the request of resources and the expected execution time to deal with an unplanned workload. Results presented show a low overhead and high flexibility executing a lung disease biomarker on a public cloud.

[2]  Mbarek Marwan,et al.  Using cloud solution for medical image processing: Issues and implementation efforts , 2017, 2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech).

[3]  Eloy Romero,et al.  Self-managed cost-efficient virtual elastic clusters on hybrid Cloud infrastructures , 2016, Future Gener. Comput. Syst..

[4]  Vanessa Sochat,et al.  Singularity: Scientific containers for mobility of compute , 2017, PloS one.

[5]  Ali Mirarab,et al.  A cloud solution for medical image processing , 2014 .

[6]  Vicente Hernández,et al.  An energy management system for cluster infrastructures , 2013, Comput. Electr. Eng..

[7]  Germán Moltó,et al.  A self-managed Mesos cluster for data analytics with QoS guarantees , 2019, Future Gener. Comput. Syst..

[8]  European Society of Radiology White paper on imaging biomarkers , 2010, Insights into imaging.

[9]  Alfonso Pérez,et al.  Serverless computing for container-based architectures , 2018, Future Gener. Comput. Syst..

[10]  Mansaf Alam,et al.  Cloud Computing in Bioinformatics and Big Data Analytics: Current Status and Future Research , 2018 .

[11]  Carlos Maltzahn,et al.  Ceph: a scalable, high-performance distributed file system , 2006, OSDI '06.

[12]  Michal Wrzeszcz,et al.  Onedata - a Step Forward towards Globalization of Data Access for Computing Infrastructures , 2015, ICCS.

[13]  Ignacio Blanquer,et al.  Dynamic Management of Virtual Infrastructures , 2015, Journal of Grid Computing.

[14]  Ignacio Blanquer,et al.  Multi-elastic Datacenters: Auto-scaled Virtual Clusters on Energy-Aware Physical Infrastructures , 2018, Journal of Grid Computing.