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Research, cited.

Peer-reviewed papers and conference proceedings — with full citations, DOIs, and abstracts.

citations.bib — bibliographySample entries

PreprintUnder Review2026

Benchmarking MongoDB Schema Design Patterns for High-Write E-Commerce Workloads

Adil Mahmoud Rion

arXiv

Abstract

This work benchmarks embedding versus referencing schema patterns in MongoDB under high-write e-commerce workloads, measuring write amplification, index-rebuild cost, and read-path latency across four schema variants. Results indicate a hybrid embed-with-bounded-array pattern offers the best balance for catalogs exceeding 100K SKUs.

#mongodb#schema-design#e-commerce#database-performance

BibTeX

@misc{rion2026benchmarking,
  author    = {Adil Mahmoud Rion},
  title     = {{Benchmarking MongoDB Schema Design Patterns for High-Write E-Commerce Workloads}},
  year      = {2026}
}

Conference PaperAccepted2026

Designing Rate-Limiting Middleware for Multi-Tenant SaaS Platforms

Adil Mahmoud Rion

International Conference on Emerging Trends in Software Engineering

Abstract

We present a token-bucket rate-limiting middleware for multi-tenant SaaS platforms, supporting per-tenant quotas, burst allowances, and graceful degradation under load. Evaluated against a synthetic multi-tenant workload, the middleware holds sub-5ms overhead per request while preventing noisy-neighbor effects across tenants.

#rate-limiting#saas#middleware#distributed-systems

BibTeX

@inproceedings{rion2026designing,
  author    = {Adil Mahmoud Rion},
  title     = {{Designing Rate-Limiting Middleware for Multi-Tenant SaaS Platforms}},
  booktitle = {International Conference on Emerging Trends in Software Engineering},
  year      = {2026}
}

Journal ArticlePublished2025

A Comparative Study of Caching Strategies for Reducing Latency in Node.js REST APIs

Adil Mahmoud Rion

Journal of Emerging Computer Science and Engineering · Academic Press International · Vol. 8(2), pp. 114–126

Abstract

This paper evaluates in-memory and distributed caching strategies — including LRU eviction, write-through, and cache-aside patterns — for reducing p95 latency in high-throughput Node.js REST APIs. Benchmarking across three workload profiles shows a distributed cache-aside approach reduces median response time by up to 42% under sustained load, at the cost of increased architectural complexity.

#caching#nodejs#latency-optimization#rest-api

BibTeX

@article{rion2025a,
  author    = {Adil Mahmoud Rion},
  title     = {{A Comparative Study of Caching Strategies for Reducing Latency in Node.js REST APIs}},
  journal   = {Journal of Emerging Computer Science and Engineering},
  publisher = {Academic Press International},
  volume    = {8},
  number    = {2},
  pages     = {114–126},
  year      = {2025},
  doi       = {10.5555/jecse.2025.0142}
}

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