Taxonomy for Trade-off Problem in Distributed Telemedicine Systems

Abstract

Increasing amount of data and demands for features are challenging for Web systems. By serving these requirements, distributed systems gather ground, however they bring problems along. These issues are already present in telemedicine. Since telemedicine is a wide discipline, various phenomena have different effects on data. Availability and consistency have both important roles in telemedicine, but as CAP and PACELC theorems addressed trade-off problem, no one can guarantee both capabilities simultaneously. Our research aims to get a nearer view of the problem considering real world telemedicine use-cases and offer an easily tunable system with a taxonomy that gives a helping hand at designing telemedicine systems. Model checking verifies and data quality measurement proves the correctness of our model. In the course of measurements, we revealed an interesting occurence and consequence that is called hypothetical-zero-latency.

Standardized Telemedicine Software Development Kit with Hybrid Cloud Support

“…In [8] and [9], we have presented a taxonomy to help design distributed telemedicine systems. Based on our elaborated taxonomy, we showed how consistency and data quality changes if the data path is complex and how systems can be configured to maintain consistency, availability and partition-tolerance at a high level.…”

A Data Quality Measurement Framework Using Distribution-Based Modeling and Simulation in Real-Time Telemedicine Systems

“…These issues are present in many areas of IT but there are some critical sectors, such as the financial sector or the healthcare sector, where they are more crucial. In our former paper [1], we analyzed various telemedicine systems and use cases in order to explore their requirements. Besides the requirements, we took into account the latency as a variable and a principal law of distributed systems defined in the Consistency, Availability and Partition-tolerance (CAP) theorem.…”