iHAC: A Hybrid Cluster Architecture for Enhanced Performance and Resilience
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arXiv
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| Autores principales: | , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866911694124482560 |
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| author | Muntaka, Siddique Abubakr Ansong, Edward Danso Yankson, Benjamin Kornyo, Oliver Hussein, Faiza Muntaka, Mohammed Nadhir Dagadu, Joshua Addo, Prince Clement Jnr., Maxwell Dorgbefu Osei-Wusu, Franco Yeboah, Foster Asante, Michael |
| author_facet | Muntaka, Siddique Abubakr Ansong, Edward Danso Yankson, Benjamin Kornyo, Oliver Hussein, Faiza Muntaka, Mohammed Nadhir Dagadu, Joshua Addo, Prince Clement Jnr., Maxwell Dorgbefu Osei-Wusu, Franco Yeboah, Foster Asante, Michael |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_18361 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | iHAC: A Hybrid Cluster Architecture for Enhanced Performance and Resilience Muntaka, Siddique Abubakr Ansong, Edward Danso Yankson, Benjamin Kornyo, Oliver Hussein, Faiza Muntaka, Mohammed Nadhir Dagadu, Joshua Addo, Prince Clement Jnr., Maxwell Dorgbefu Osei-Wusu, Franco Yeboah, Foster Asante, Michael Distributed, Parallel, and Cluster Computing Hardware Architecture 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. |
| title | iHAC: A Hybrid Cluster Architecture for Enhanced Performance and Resilience |
| topic | Distributed, Parallel, and Cluster Computing Hardware Architecture |
| url | https://arxiv.org/abs/2605.18361 |