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{BetrFS}: A {Right-Optimized}{Write-Optimized} file system
The B ε-tree File System, or BetrFS,(pronounced “better eff ess”) is the first in-kernel file
system to use a write-optimized index. Write optimized indexes (WOIs) are promising …
system to use a write-optimized index. Write optimized indexes (WOIs) are promising …
[KÖNYV][B] Advanced data management: for SQL, NoSQL, cloud and distributed databases
L Wiese - 2015 - books.google.com
Advanced data management has always been at the core of efficient database and
information systems. Recent trends like big data and cloud computing have aggravated the …
information systems. Recent trends like big data and cloud computing have aggravated the …
Optimizing every operation in a write-optimized file system
File systems that employ write-optimized dictionaries (WODs) can perform random-writes,
metadata updates, and recursive directory traversals orders of magnitude faster than …
metadata updates, and recursive directory traversals orders of magnitude faster than …
BetrFS: Write-optimization in a kernel file system
The Bε-tree File System, or B e trFS (pronounced “better eff ess”), is the first in-kernel file
system to use a write-optimized data structure (WODS). WODS are promising building …
system to use a write-optimized data structure (WODS). WODS are promising building …
The Full Path to {Full-Path} Indexing
The Full Path to Full-Path Indexing Page 1 This paper is included in the Proceedings of the
16th USENIX Conference on File and Storage Technologies. February 12–15, 2018 • Oakland …
16th USENIX Conference on File and Storage Technologies. February 12–15, 2018 • Oakland …
Write-optimized skip lists
The skip list is an elegant dictionary data structure that is commonly deployed in RAM. A skip
list with N elements supports searches, inserts, and deletes in O (log N) operations with high …
list with N elements supports searches, inserts, and deletes in O (log N) operations with high …
Small refinements to the DAM can have big consequences for data-structure design
Storage devices have complex performance profiles, including costs to initiate IOs (eg, seek
times in hard drives), parallelism and bank conflicts (in SSDs), costs to transfer data, and …
times in hard drives), parallelism and bank conflicts (in SSDs), costs to transfer data, and …
Using hashing to solve the dictionary problem (in external memory)
We consider the dictionary problem in external memory and improve the update time of the
well-known buffer tree by roughly a logarithmic factor. For any λ> max (lg lg n, logM/B (n/B)} …
well-known buffer tree by roughly a logarithmic factor. For any λ> max (lg lg n, logM/B (n/B)} …
Timely reporting of heavy hitters using external memory
Given an input stream of size N, a φ-heavy hitter is an item that occurs at least φ N times in
S. The problem of finding heavy-hitters is extensively studied in the database literature. We …
S. The problem of finding heavy-hitters is extensively studied in the database literature. We …
Flushing without cascades
Buffer-and-flush is a technique for transforming standard external-memory search trees into
write-optimized search trees. In exchange for faster amortized insertions, buffer-and-flush …
write-optimized search trees. In exchange for faster amortized insertions, buffer-and-flush …