Performance Analysis of Personal Cloud Storage Services for Mobile Multimedia Health Record Management

Mahmuda Akter; Abdullah Gani; Md. Obaidur Rahman; Mohammad Mehedi Hassan; Ahmad Almogren; Shafiq Ahmad

doi:10.1109/ACCESS.2018.2869848

IEEE Access (Jan 2018)

Performance Analysis of Personal Cloud Storage Services for Mobile Multimedia Health Record Management

Mahmuda Akter,
Abdullah Gani,
Md. Obaidur Rahman,
Mohammad Mehedi Hassan,
Ahmad Almogren,
Shafiq Ahmad

Affiliations

Mahmuda Akter: Mobile Cloud Computing Research Lab, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
Abdullah Gani: Mobile Cloud Computing Research Lab, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
Md. Obaidur Rahman: Department of Computer Science and Engineering, Dhaka University of Engineering & Technology, Gazipur, Bangladesh
Mohammad Mehedi Hassan: ORCiD; College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia
Ahmad Almogren: ORCiD; College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia
Shafiq Ahmad: ORCiD; Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh, Saudi Arabia

DOI: https://doi.org/10.1109/ACCESS.2018.2869848
Journal volume & issue: Vol. 6
pp. 52625 – 52638

Abstract

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Recently, the trend of mobile multimedia services and applications being used for e-health is growing in popularity. This is because people can get access to their electronic personal health records (PHRs), such as medical history, lab reports from an X-ray, MRI, clinical audio-visual notes, EEG/ECG data, and insurance policy details from anywhere, at any time, from their mobile or handheld devices. In this scenario, a medical care provider or a patient is responsible for uploading and managing the patient's health information via cloud storage services. There are a number of personal cloud storage services that could be used such as Dropbox, Google Drive, OneDrive, and Box. However, the different designs of these personal cloud storage services mean there are differences in their performance in terms of storing and managing PHRs. In this paper, we present the details of our study on the performance of personal cloud storage services, and we highlight the strengths and weaknesses of such services in terms of PHR management. We investigate the performance of personal cloud storage services by conducting a qualitative and quantitative analysis of them. The qualitative analysis highlights strengths and weaknesses in terms of supported capabilities/features and shortcomings in terms of potential features that have not been implemented. The capabilities we analyze are chunking, bundling, de-duplication, delta-encoding, and data compression. In the quantitative analysis, we investigate performance in terms of control data overhead, impact of data size on number of packets as well as transmission rate, synchronization initialization time, and protocol overhead. During testing with diverse benchmark size on distinct cloud storage services, we attained an average transmission of 93%, 3%, and 4% for application data, control data, and other data, respectively. This research allows us to identify open issues and to determine future directions for developing an efficient personal cloud storage service.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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