PBS Job Orchestration at Scale

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APPENDIX_LOG // 2025

PBS Job Orchestration at Scale

Research Log

Discourse — Methodology

Technical deep-dive into managing concurrent nodes on the Kagayaki cluster.

Concl. — Scientific Impact

Scaling PBS orchestration on the Kagayaki HPC cluster requires a strict hierarchical approach to job script generation. We implemented a BASH-based factory pattern that dynamically injects resource requirements based on node-pool availability. This reduces wait-time by 22% and prevents the common 'stuck-in-queue' deadlock seen in monolithic submissions.

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CHAIPAT JAINAN // ARCHIVEV2026.4

Project Index — 13 Entries

002

Appendix — Research Logs

Informal observations & technical field notes

20 Nov 2025

PBS Job Orchestration at Scale

Scaling PBS orchestration on the Kagayaki HPC cluster requires a strict hierarchical approach to job script generation. We implemented a BASH-based factory pattern that dynamically injects resource requirements based on node-pool availability. This reduces wait-time by 22% and prevents the common 'stuck-in-queue' deadlock seen in monolithic submissions.

[ View_Manuscript_Source ]

5 Aug 2025

Knowledge Graph Construction from Unstructured Data

Our research at JAIST focused on the automated extraction of structured knowledge from large-scale unstructured datasets. By leveraging Python-based analysis pipelines, we successfully mapped raw textual data to formal ontological classes, enabling high-fidelity reasoning over complex domain models.

[ View_Manuscript_Source ]

25 Apr 2026

Tier-Based Permission Provisioning in Distributed Vaults

We implemented a hierarchical permission model that decouples object storage from access logic. Using Neon PostgreSQL as a centralized state authority, the system evaluates incoming ACCESS_REQUEST pulses against predefined user tiers (Guest/Admin/Root). Validated requests trigger a just-in-time permission grant on the GCS bucket layer, ensuring that terabyte-scale research data remains encrypted at rest while maintaining sub-second authorization latency for verified auditors.

[ View_Manuscript_Source ]

18 Jun 2026

Multi-Source Dictionary & Word Search Engine

We engineered a robust word search and dictionary resolution engine leveraging a multi-tiered fallback architecture. The system models a Word as a strict ontological entity, normalizing its lexical format, grammatical category, and source provenance across heterogeneous data streams. The retrieval pipeline minimizes latency by using an O(1) Redis L1 cache and PostgreSQL L2 index before falling back to sequential remote API resolution. Client-side gameplay is validated instantly through Prefix Tree (Trie) backtracking algorithms.

[ View_Manuscript_Source ]

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[ PAGE 002 ]Undergraduate Research Portfolio

Project Documentation — 2026

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APPENDIX_LOG // 2025