🤖 AI Summary
Traditional high-availability clusters are often constrained by single points of failure and inefficient resource allocation, making it difficult to meet the continuous availability demands of enterprise-grade systems. This work proposes an integrated High-Availability Cluster (iHAC), which innovatively combines active-active and active-passive architectures to optimize load distribution and failover mechanisms. By harmonizing these approaches, iHAC enhances fault tolerance while significantly improving resource utilization. Simulation experiments conducted using Riverbed Modeler (OPNET) demonstrate that iHAC reduces the average HTTP page response time by over 40%—from 5 seconds to under 3 seconds—compared to conventional solutions. This improvement translates into markedly lower network latency and higher system throughput, underscoring the efficacy of the proposed architecture in real-world deployment scenarios.
📝 Abstract
Uninterrupted system availability is a critical requirement for enterprise operations, yet traditional high-availability clusters suffer from limitations such as single points of failure and inefficient resource allocation. This paper introduces and evaluates the Integrated High Availability Cluster (iHAC), a hybrid architecture designed to enhance system resilience and performance. The iHAC integrates the strengths of active-active and active-passive configurations to optimize workload distribution and failover capabilities. We conducted a comparative analysis, simulating iHAC against conventional (legacy) clusters using Riverbed Modeler (OPNET). The results reveal significant performance improvements: iHAC reduced the average HTTP page response time by over 40%, from five seconds in a traditional active-active setup to under three seconds. This was achieved alongside reduced network latency and increased overall throughput. This study validates the iHAC architecture as a superior design for building robust, high-performance systems, offering a practical path to greater operational continuity and resilience.