Optimization of Oracle Real Application Clusters for High-Availability and Fault-Tolerant Healthcare Database Infrastructure

Healthcare database infrastructure must remain responsive during emergencies, routine clinical work, planned maintenance and equipment failures. Oracle Real Application Clusters (RAC) offers a shared-database architecture in which multiple instances can support services, but high availability cannot be established by clustering alone. This integrative review examines how RAC configuration, database service design, connection recovery, transaction integrity, workload management, storage resilience, monitoring and disaster recovery can be combined for fault-tolerant healthcare information systems. It proposes a layered optimisation framework connecting clinical service criticality to recovery objectives, technical controls, failure testing and operational governance. Particular attention is given to electronic health record transactions, medication administration, laboratory reporting, admission workflows and interfaces whose behaviour during partial failures may differ. The synthesis identifies the most consequential trade-offs: local continuity versus site-wide recovery, throughput versus tail latency, automated replay versus clinical transaction safety, and infrastructure redundancy versus common-cause failure. A phased assurance model is offered for healthcare organisations in Saudi Arabia and comparable settings. The study is conceptual, reports no experimental performance gains and recommends prospective workload-specific validation before operational deployment.

Authors

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-11-05
DOI
https://doi.org/10.64388/ire1724849
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Optimization of Oracle Real Application Clusters for High-Availability and Fault-Tolerant Healthcare Database Infrastructure

Mujeeb Pullumalayil
Iconic Research and Engineering Journals
Distributed systems and fault tolerance
article

Optimization of Oracle Real Application Clusters for High-Availability and Fault-Tolerant Healthcare Database Infrastructure

Mujeeb Pullumalayil
article en

Abstract

Healthcare database infrastructure must remain responsive during emergencies, routine clinical work, planned maintenance and equipment failures. Oracle Real Application Clusters (RAC) offers a shared-database architecture in which multiple instances can support services, but high availability cannot be established by clustering alone. This integrative review examines how RAC configuration, database service design, connection recovery, transaction integrity, workload management, storage resilience, monitoring and disaster recovery can be combined for fault-tolerant healthcare information systems. It proposes a layered optimisation framework connecting clinical service criticality to recovery objectives, technical controls, failure testing and operational governance. Particular attention is given to electronic health record transactions, medication administration, laboratory reporting, admission workflows and interfaces whose behaviour during partial failures may differ. The synthesis identifies the most consequential trade-offs: local continuity versus site-wide recovery, throughput versus tail latency, automated replay versus clinical transaction safety, and infrastructure redundancy versus common-cause failure. A phased assurance model is offered for healthcare organisations in Saudi Arabia and comparable settings. The study is conceptual, reports no experimental performance gains and recommends prospective workload-specific validation before operational deployment.

Iconic Research and Engineering JournalsVol. 10(5)
Openalex Percentile: Top 14%
Distributed systems and fault tolerance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon