F
Fay W. Chang
Researcher at Google
Publications - 24
Citations - 11146
Fay W. Chang is an academic researcher from Google. The author has contributed to research in topics: Scalability & File system. The author has an hindex of 18, co-authored 24 publications receiving 10832 citations. Previous affiliations of Fay W. Chang include Carnegie Mellon University.
Papers
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Proceedings Article
Bigtable: A Distributed Storage System for Structured Data (Awarded Best Paper!).
Fay W. Chang,Jeffrey Dean,Sanjay Ghemawat,Wilson C. Hsieh,Deborah A. Wallach,Michael Burrows,Tushar Deepak Chandra,Andrew Fikes,Robert Gruber +8 more
TL;DR: Bigtable as mentioned in this paper is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers, including web indexing, Google Earth and Google Finance.
Journal ArticleDOI
Bigtable: A Distributed Storage System for Structured Data
Fay W. Chang,Jeffrey Dean,Sanjay Ghemawat,Wilson C. Hsieh,Deborah A. Wallach,Michael Burrows,Tushar Deepak Chandra,Andrew Fikes,Robert E. Gruber +8 more
TL;DR: The simple data model provided by Bigtable is described, which gives clients dynamic control over data layout and format, and the design and implementation of Bigtable are described.
Proceedings ArticleDOI
Bigtable: a distributed storage system for structured data
Fay W. Chang,Jeffrey Dean,Sanjay Ghemawat,Wilson C. Hsieh,Deborah A. Wallach,Michael Burrows,Tushar Deepak Chandra,Andrew Fikes,Robert E. Gruber +8 more
TL;DR: Bigtable as discussed by the authors is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers, including web indexing, Google Earth and Google Finance.
Journal ArticleDOI
A cost-effective, high-bandwidth storage architecture
Garth A. Gibson,David F. Nagle,Khalil Amiri,Jeff Butler,Fay W. Chang,Howard Gobioff,Charles Hardin,Erik Riedel,David Rochberg,Jim Zelenka +9 more
TL;DR: Measurements of the prototype NASD system show that these services can be cost-effectively integrated into a next generation disk drive ASK, and show scaluble bandwidth for NASD-specialized filesystems.
Proceedings ArticleDOI
File server scaling with network-attached secure disks
Garth A. Gibson,David F. Nagle,Khalil Amiri,Fay W. Chang,Eugene M. Feinberg,Howard Gobioff,Chen Lee,Berend Ozceri,Erik Riedel,David Rochberg,Jim Zelenka +10 more
TL;DR: An analytic model and replay experiments suggest that NetSCSI can reduce file server load during a burst of NFS or AFS activity by about 30% and with the NASD architecture, server load can be reduced by a factor of up to five for AFS and up to ten for NFS.