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arxiv: 2605.18361 · v1 · pith:3X7YBRXTnew · submitted 2026-05-18 · 💻 cs.DC · cs.AR

iHAC: A Hybrid Cluster Architecture for Enhanced Performance and Resilience

Siddique Abubakr Muntaka , Edward Danso Ansong , Benjamin Yankson , Oliver Kornyo , Faiza Hussein , Mohammed Nadhir Muntaka , Joshua Dagadu , Prince Clement Addo
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Maxwell Dorgbefu Jnr. Franco Osei-Wusu Foster Yeboah Michael Asante
This is my paper

Pith reviewed 2026-05-19 23:56 UTC · model grok-4.3

classification 💻 cs.DC cs.AR
keywords hybrid clusterhigh availabilityactive-activeactive-passiveperformance simulationsystem resiliencefailoverworkload distribution
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The pith

The iHAC hybrid cluster reduces average HTTP page response time by over 40 percent compared to traditional active-active setups.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This paper introduces the Integrated High Availability Cluster (iHAC) as a design that blends active-active and active-passive configurations to fix single points of failure and inefficient resource use in conventional high-availability systems. The authors evaluate it through comparative simulations against legacy clusters. The results indicate faster page loads, reduced latency, and higher throughput. A reader focused on dependable computing would care because the approach promises both better speed and stronger uptime for ongoing enterprise operations.

Core claim

The iHAC architecture integrates active-active and active-passive configurations to optimize workload distribution and failover capabilities. Simulations against conventional clusters show that this hybrid design reduces average HTTP page response time from five seconds to under three seconds, an improvement of over 40 percent, while also cutting network latency and raising overall throughput.

What carries the argument

The hybrid integration of active-active and active-passive modes in the iHAC design for balanced workload handling and failover.

If this is right

  • Workload distribution improves across nodes without introducing single points of failure.
  • Failover becomes more capable while keeping operations continuous.
  • Network latency drops, enabling quicker exchanges between components.
  • Overall system throughput rises, supporting more concurrent operations.
  • Enterprise systems gain stronger operational continuity during disruptions.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The hybrid principles could apply to cloud-scale distributed systems for added fault tolerance.
  • Physical hardware trials would test whether the simulated gains persist outside the model.
  • The design may reduce the need for excess resource provisioning in high-availability setups.
  • It could connect to questions about balancing performance and resilience in other networked applications.

Load-bearing premise

The Riverbed Modeler simulation accurately captures real cluster behavior, network conditions, workload patterns, and failover dynamics.

What would settle it

Deploying an actual iHAC system alongside a traditional active-active cluster on equivalent hardware and measuring response times, latency, and throughput under matching real-world workloads.

read the original 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.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 2 minor

Summary. The manuscript introduces the Integrated High Availability Cluster (iHAC), a hybrid architecture integrating active-active and active-passive configurations to address single points of failure and inefficient resource allocation in traditional high-availability clusters. It evaluates iHAC via comparative Riverbed Modeler (OPNET) simulations against legacy clusters, claiming over 40% reduction in average HTTP page response time (from 5 s to under 3 s), reduced network latency, and increased throughput.

Significance. If the simulation results hold under independent validation, the hybrid design could offer a practical improvement for enterprise resilience and performance. The work credits the integration of existing HA modes rather than inventing new primitives, and the simulation-based comparison provides a falsifiable starting point, though its strength depends on addressing the unvalidated modeling assumptions.

major comments (3)
  1. Abstract and Evaluation: The headline claim of >40% HTTP response time reduction rests entirely on Riverbed Modeler runs, yet no concrete parameter settings (link delays, packet-loss models, failover trigger thresholds, or exact HTTP request mix) are supplied for either the active-active baseline or iHAC. This directly affects whether the measured deltas reflect architectural superiority or modeling choices that inadvertently favor the hybrid topology.
  2. Results section: No error bars, statistical controls, sensitivity sweeps, or real-system confirmation are reported. The simulation outputs are presented as evidence of superiority without bounding the risk that workload or failover dynamics were modeled in ways that advantage iHAC.
  3. Methodology: The description of how the legacy active-active setup was configured relative to iHAC is insufficient to rule out circularity; if parameters were tuned with knowledge of the target architecture, the performance gains may partly reflect those choices rather than independent validation.
minor comments (2)
  1. Add explicit discussion of related hybrid HA work and clarify notation for workload and failover parameters.
  2. Ensure all simulation figures include legends, axis units, and direct side-by-side comparison of the two architectures.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for their thorough review and constructive feedback on our manuscript. We address each of the major comments below, indicating the revisions we plan to make to improve clarity and rigor.

read point-by-point responses

  1. Referee: Abstract and Evaluation: The headline claim of >40% HTTP response time reduction rests entirely on Riverbed Modeler runs, yet no concrete parameter settings (link delays, packet-loss models, failover trigger thresholds, or exact HTTP request mix) are supplied for either the active-active baseline or iHAC. This directly affects whether the measured deltas reflect architectural superiority or modeling choices that inadvertently favor the hybrid topology.

    Authors: We agree that providing detailed simulation parameters is essential for reproducibility and to substantiate the claims. In the revised manuscript, we will add a dedicated subsection in the Evaluation or Methodology section that specifies all relevant parameters, including link delays, packet-loss models, failover trigger thresholds, and the exact HTTP request mix used in the simulations for both the legacy active-active and iHAC configurations. This will help readers evaluate the results more accurately. revision: yes

  2. Referee: Results section: No error bars, statistical controls, sensitivity sweeps, or real-system confirmation are reported. The simulation outputs are presented as evidence of superiority without bounding the risk that workload or failover dynamics were modeled in ways that advantage iHAC.

    Authors: We acknowledge the value of statistical rigor in presenting simulation results. We will revise the Results section to include error bars based on multiple simulation runs and incorporate sensitivity sweeps for key parameters such as workload intensity and failover thresholds. Regarding real-system confirmation, our study is primarily simulation-based using Riverbed Modeler to provide a controlled comparison; we will explicitly state this as a limitation in the revised paper and outline plans for future empirical validation on physical systems. revision: partial

  3. Referee: Methodology: The description of how the legacy active-active setup was configured relative to iHAC is insufficient to rule out circularity; if parameters were tuned with knowledge of the target architecture, the performance gains may partly reflect those choices rather than independent validation.

    Authors: We appreciate this point and will expand the Methodology section to provide a more detailed, step-by-step description of the configuration for the legacy active-active cluster, ensuring it is presented independently of the iHAC design. We will clarify that the baseline was modeled based on standard practices for active-active setups without reference to iHAC-specific optimizations, thereby addressing concerns about potential circularity. revision: yes

Circularity Check

0 steps flagged

No significant circularity detected

full rationale

The paper proposes the iHAC hybrid architecture and reports performance gains from Riverbed Modeler simulations comparing it to legacy active-active clusters, with metrics such as HTTP response time dropping from 5 s to under 3 s. No mathematical derivations, equations, fitted parameters renamed as predictions, or self-citation chains appear in the abstract or described content that reduce any claim to its own inputs by construction. The evaluation is presented as an external simulation outcome rather than a self-referential definition or ansatz smuggled via prior work, rendering the central claims self-contained against the simulation benchmark.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 1 invented entities

The central performance claims rest on the unstated premise that the chosen simulation tool and workload model faithfully represent production cluster behavior; no free parameters or invented entities are explicitly listed in the abstract.

invented entities (1)
  • iHAC hybrid architecture no independent evidence
    purpose: Integrate active-active and active-passive strengths to improve resilience and performance
    New named design introduced in the abstract without reference to prior independent validation or falsifiable predictions outside the simulation.

pith-pipeline@v0.9.0 · 5746 in / 1230 out tokens · 49734 ms · 2026-05-19T23:56:51.938546+00:00 · methodology

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Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

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supports
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extends
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uses
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contradicts
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unclear
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Reference graph

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