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Synthetic hardware performance analysis in virtualized cloud environment for healthcare organization
1Faculty of Computer Science & Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia, cheeheng@siswa.um.edu.my.
Journal of Medical Systems
|May 28, 2013
Summary
Healthcare organizations can now perform database operations in the cloud securely. New methods enable hardware performance evaluation in virtual machines without accessing sensitive patient data, ensuring privacy and security.
Area of Science:
- Computer Science
- Information Security
- Database Management
Background:
- Healthcare organizations face significant data security and privacy challenges hindering cloud computing adoption for database operations.
- Existing IT service models often require direct access to sensitive data for performance diagnostics, posing privacy risks.
Purpose of the Study:
- To demonstrate effective hardware performance evaluation in virtual machines for healthcare cloud databases without compromising data security.
- To develop mechanisms for diagnostic and remediation purposes that do not involve IT personnel accessing actual patient data.
Main Methods:
- Utilized hypothetical data from the TPC-H benchmark to construct TPC-H queries for monitoring hardware performance and consistency.
- Developed a control system using TPC-H queries to monitor underlying hardware performance and consistency in virtual machines.
- Envisaged a stress-testing mechanism using TPC-H queries to verify virtual machine capability at resource threshold points.
Main Results:
- Successfully monitored underlying hardware performance and consistency using a TPC-H query-based control system.
- Established a mechanism to construct stress-testing scenarios, verifying virtual machine resilience at resource constraint junctures.
- Identified server run queue size as a key input parameter for setting boundary thresholds and simulating stress tests.
Conclusions:
- IT services, specifically hardware performance evaluation in virtual machines, can be effectively performed without direct access to sensitive healthcare data.
- The proposed methods enhance data security and privacy in cloud database operations, facilitating wider adoption in the healthcare sector.
- The developed mechanisms provide a robust framework for continuous performance monitoring and stress testing, ensuring the reliability of critical healthcare transactions.
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