# Yasushi Saito

> Ph.D. University of Washington 2001

**Wikidata**: [Q102251005](https://www.wikidata.org/wiki/Q102251005)  
**Source**: https://4ort.xyz/entity/yasushi-saito

## Summary
Yasushi Saito is a computer scientist known for his research in scalable internet infrastructure and distributed systems. He earned his Ph.D. from the University of Washington in 2001, where he developed a framework for functionally homogeneous clustering to support data-intensive services.

## Biography
- Born: 1967
- Education: Ph.D. in Computer Science and Computer Engineering, University of Washington (2001)
- Known for: Research on scalable data-intensive internet services and clustering frameworks
- Field(s): Computer Science

## Contributions
Yasushi Saito’s primary contribution to the field of computer science is his research into the architecture of large-scale internet systems. In 2001, he authored the doctoral thesis "Functionally Homogeneous Clustering: A Framework for Building Scalable Data-intensive Internet Services." This work focused on creating a structured approach to clustering that allows internet services to scale efficiently while handling massive amounts of data. 

His research was conducted at the University of Washington under the supervision of prominent computer scientists Brian Bershad and Hank Levy. By developing the "Functionally Homogeneous Clustering" framework, Saito provided a methodology for organizing server clusters to maintain performance and reliability as demand grows. His work is indexed in the Mathematics Genealogy Project (ID 71803) and remains a reference point for the development of scalable web infrastructure.

## FAQs
### Q: What is Yasushi Saito's most significant academic work?
A: His most significant work is his 2001 doctoral thesis, "Functionally Homogeneous Clustering: A Framework for Building Scalable Data-intensive Internet Services," which explores architectures for large-scale web systems.

### Q: Where did Yasushi Saito receive his education?
A: He received his Ph.D. in Computer Science and Computer Engineering from the University of Washington in 2001.

### Q: Who were Yasushi Saito's doctoral advisors?
A: His doctoral research was advised by computer scientists Brian Bershad and Hank Levy at the University of Washington.

## Why They Matter
Yasushi Saito’s research emerged during a pivotal era of internet growth, addressing the fundamental challenge of how to build services that could handle rapidly increasing user loads and data requirements. By proposing a framework for functionally homogeneous clustering, he contributed to the evolving understanding of distributed systems and cluster management. His academic lineage connects him to influential figures in systems research, and his work helped lay the conceptual groundwork for the scalable architectures that power modern data-intensive internet applications.

## Notable For
*   **Landmark Publication:** Author of "Functionally Homogeneous Clustering: A Framework for Building Scalable Data-intensive Internet Services" (2001).
*   **Academic Pedigree:** Doctoral student of renowned computer scientists Brian Bershad and Hank Levy.
*   **Specialized Expertise:** Recognized for contributions to the fields of computer science and computer engineering with a focus on internet-scale scalability.
*   **Data Indexing:** Featured in the Mathematics Genealogy Project and the WikiProject PCC Wikidata Pilot for the University of Washington.

## Body
### Academic Background
Yasushi Saito was born in 1967. He pursued his doctoral studies at the University of Washington, a period that culminated in the receipt of his Ph.D. in 2001. His studies were concentrated in the dual fields of Computer Science and Computer Engineering.

### Doctoral Research and Thesis
Saito’s academic focus was primarily on the scalability of internet-based systems. His thesis, titled "Functionally Homogeneous Clustering: A Framework for Building Scalable Data-intensive Internet Services," addressed the technical requirements for maintaining high-performance data services. 

Key aspects of his research included:
*   **Clustering Frameworks:** Developing methods to organize groups of computers to act as a single, scalable unit.
*   **Data Intensity:** Solving bottlenecks associated with services that process and store vast quantities of information.
*   **System Homogeneity:** Exploring the benefits of functionally homogeneous structures in distributed environments.

### Professional Mentorship
During his tenure at the University of Washington, Saito was mentored by two significant figures in the computer science community:
*   **Brian Bershad:** A computer scientist and academic (born 1965) known for his work in operating systems.
*   **Hank Levy:** An American computer scientist and engineer (born 1952) recognized for his contributions to computer architecture and distributed systems.

### Records and Recognition
Saito is documented in several academic databases:
*   **Mathematics Genealogy Project:** Assigned the researcher ID 71803.
*   **Wikidata:** Identified as a human instance of a computer scientist with a focus on the University of Washington academic community.

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## References

1. Mathematics Genealogy Project
2. WorldCat