Performance Evaluation of IoT-Fag-Cloud Deployment for Healthcare servicies

Said El Kafhali, Khaled Salah, Said Ben Alla

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

26 Scopus citations

Abstract

Due to the proliferation of cloud computing and Internet of Things (IoT) systems in healthcare industry, remote real-time monitoring and tracking of patient conditions have become the norm. In a typical deployment, Medical IoT (MIoT) devices transmit patient data to a medical datacenters where the data get stored, analyzed, and made available to concerned parties or individuals. Healthcare providers, physicians and care takers can access remotely these medical data located in these medical datacenters which are typically deployed as a private cloud or public cloud. In such cloud deployment, the performance services to access the data in a timely manner is critical. One of the key performances metrics is the response time. It is important to deploy the medical datacenters in a cloud environment in a way to minimize the response time. Moreover, Fog/Edge computing layer is also used to perform localized processing and storage to further reduce response time. This paper studies, models, and shows how to reduce computing resources cost while guaranteeing health requests performance constraints-particularly response time of accessing medical data stored in a fog-cloud environment. To address this issue, this paper proposes a queuing model to predict the minimum required number of computing resources (both fog and cloud nodes) to meet the Service Level Agreement (SLA) for response time. We verify and cross validate our analytical model through discrete event simulation. Obtained results from our analytical models show that the proposed model is able to correctly and effectively predict the number of computing resources needed for health data services in order to achieve the required response time under different workload conditions.

Original languageBritish English
Title of host publication2018 4th International Conference on Cloud Computing Technologies and Applications, Cloudtech 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728116372
DOIs
StatePublished - 2 Jul 2018
Event4th International Conference on Cloud Computing Technologies and Applications, Cloudtech 2018 - Brussels, Belgium
Duration: 26 Nov 201828 Nov 2018

Publication series

Name2018 4th International Conference on Cloud Computing Technologies and Applications, Cloudtech 2018

Conference

Conference4th International Conference on Cloud Computing Technologies and Applications, Cloudtech 2018
Country/TerritoryBelgium
CityBrussels
Period26/11/1828/11/18

Keywords

  • Cloud Computing
  • e-health
  • Fog Computing
  • Internet of Things
  • IoT
  • Performance Analysis
  • Quality of Service

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