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Performance Evaluation of the Cloud-based QR Code Identity Tag System with Cloudlets


Affiliations
1 Department of Computer Engineering, Istanbul Gedik University Istanbul, Turkey
 

In this paper, a QR Code Identity Tag System designed for Turkish healthcare and served through the cloud is presented. The system designed is a distributed information management system as the medical data objects are geographically distributed over the system. The data objects are geographically distributed as they are placed on servers closest to the geographical location where they are most frequently required. This enables that the data is always available and the access is provided in minimum time. Additionally, to improve the performance the system employs Mobile Edge Computing technology in the form of cloudlets. The simulation results show that system performance improves as the number of cloudlets used increases and popularity threshold decreases.

Keywords

Cloud Computing, E-Health, Mobile Edge Computing, Object Retrieval, Personal Health Records.
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  • Performance Evaluation of the Cloud-based QR Code Identity Tag System with Cloudlets

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Authors

Vassilya Uzun
Department of Computer Engineering, Istanbul Gedik University Istanbul, Turkey

Abstract


In this paper, a QR Code Identity Tag System designed for Turkish healthcare and served through the cloud is presented. The system designed is a distributed information management system as the medical data objects are geographically distributed over the system. The data objects are geographically distributed as they are placed on servers closest to the geographical location where they are most frequently required. This enables that the data is always available and the access is provided in minimum time. Additionally, to improve the performance the system employs Mobile Edge Computing technology in the form of cloudlets. The simulation results show that system performance improves as the number of cloudlets used increases and popularity threshold decreases.

Keywords


Cloud Computing, E-Health, Mobile Edge Computing, Object Retrieval, Personal Health Records.

References