Publications

Domestic Non-Peer-Reviewed Papers

• Yoshiaki Ueda, Toshinobu Usui, Construction of a Low-Latency Distributed KVS for Personalized Content Delivery
  • Proceedings of the 82nd National Convention of IPSJ, 2020-02-20, pp. 87-88
  • PDF / Bibliographic Info
• Yoshiaki Ueda, Proposal for Improving DNS Cache Hit Rate and Response Speed for Distributed Systems
  • Proceedings of the 84th National Convention of IPSJ, 2022-03-05, Preprint, Student Encouragement Award
• Yoshiaki Ueda, (Title TBD: Research on Data Tiering in KVS)
  • In preparation

Technical Books (Doujinshi)

• Learning by Building: Raft-based Redis-compatible KVS in Go
  • TechBookFest 16
  • A hands-on guide to building a Redis-compatible KVS replicated with Raft consensus from scratch in Go. Covers RESP parsing, log replication using Raft libraries, and real-world use cases requiring strong consistency/availability (e.g., TiDB at PayPay).
  • TechBookFest Product Page / BOOTH

Presentations

• The Mechanism Behind NewSQL and Distributed Databases: Raft

  • DB Tech Showcase 2025 (2025-07)
  • Explained the internal structure of the Raft algorithm and its application in NewSQL (CockroachDB/TiDB, etc.) from an application engineer’s perspective at one of Japan’s largest database conferences.

• Designing an Event Bus for Loosely Coupled Schema-Driven Development

  • Platform Engineering Kaigi 2025 / Session Page
  • Presented a case study of migrating from monolith to microservices at hacomono. Covered dependency elimination using the Fire-and-Forget pattern, schema management with Protocol Buffers, and governance via compatibility checks in CI.

• What is Raft? Understanding its Strengths and Weaknesses from the Mechanism

  • Visually explained the behavior of the distributed consensus algorithm Raft (leader election, log replication) and the trade-offs between consistency and availability (3,600+ views).

• Why Did Spanner Need an Atomic Clock?

  • Explanation of the physical and logical necessity of the TrueTime API and atomic clocks supporting Google Spanner’s External Consistency.

• Reading the Paper on AWS’s Durable Redis-Compatible KVS: MemoryDB

  • Explanation of the persistence log mechanism of in-memory DBs and architectures for achieving high availability.

• Building a Low-Latency Distributed KVS for Personalized Content Delivery (VRChat Ver)

  • Design and implementation of a low-latency data delivery infrastructure in real-time environments like VRChat.

• Understanding Challenges and Insights Moving from Aurora Serverless to v2 from the Paper

  • Explanation of database scaling mechanisms and technical challenges in the evolution to v2 based on the paper.

• Reading the Paper on AdaptSize Supporting Akamai’s Cache Efficiency

  • Explanation of the theory and practice of the AdaptSize algorithm for optimizing CDN cache efficiency.