Electronic International Standard Serial Number (EISSN)
Data synchronization and content delivery services are key to supporting healthcare dataflows built by organizations. These types of services must prepare and process the data to accomplish mandatory non-functional requirements, such as security and reliability. This is a challenge as multiple applications, infrastructures, and platforms participate in healthcare dataflows. This paper presents FedFlow, a federated content distribution platform to build infrastructure-agnostic health data sharing and synchronization services to support healthcare dataflows. FedFlow creates secure and efficient data sharing and synchronization patterns for intra-dataflows and inter-dataflows by using implicit parallel data preparation schemes. A prototype of FedFlow was developed to conduct a case study about the building of inter-dataflows for delivering synchronized health data to multiple organizations by using combinations of non-functional requirements algorithms to accomplish governmental rules related to health data management. The experimental evaluation in a multi-cloud federated environment showed that FedFlow is around 90% faster than a traditional pipeline implementation, around 40% faster than Jenkins workflow management, and almost 30% faster than duplicity.
deduplication; data synchronization; secure content distribution; health dataflows; loud computing