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Robert Wipfel

dblp:94/9612 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1Databases, data management, data science and information retrieval · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%
Databases, data mining, and information retrieval
1 paper
Transaction processing and concurrency control · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems
atomic writes
0.112011
Beyond block I/O: Rethinking traditional storage primitives · HPCA 2011
Storage systems
flash and SSD
0.112011
Beyond block I/O: Rethinking traditional storage primitives · HPCA 2011
Storage systems › flash and SSD › flash memory management
flash translation layer
0.112011
Beyond block I/O: Rethinking traditional storage primitives · HPCA 2011
Transaction processing and concurrency control
ACID transactions
0.012011
Beyond block I/O: Rethinking traditional storage primitives · HPCA 2011
Storage systems
storage reliability
0.012011
Beyond block I/O: Rethinking traditional storage primitives · HPCA 2011

Methods — techniques the papers use, named apart from their topics

proof-of-concept implementation · 0.2benchmarking · 0.2
YearPublicationVenuePosition
2024 Yellowbrick: An Elastic Data Warehouse on Kubernetes
Mark A Cusack, John Adamson, Mark Brinicombe, Neil A. Carson, Thomas Kejser, Jim Peterson, Arvind Vasudev, Kurt Westerfeld, Robert Wipfel
CIDR9
2011 Beyond block I/O: Rethinking traditional storage primitives
abstract
Over the last twenty years the interfaces for accessing persistent storage within a computer system have remained essentially unchanged. Simply put, seek, read and write have defined the fundamental operations that can be performed against storage devices. These three interfaces have endured because the devices within storage subsystems have not fundamentally changed since the invention of magnetic disks. Non-volatile (flash) memory (NVM) has recently become a viable enterprise grade storage medium. Initial implementations of NVM storage devices have chosen to export these same disk-based seek/read/write interfaces because they provide compatibility for legacy applications. We propose there is a new class of higher order storage primitives beyond simple block I/O that high performance solid state storage should support. One such primitive, atomic-write, batches multiple I/O operations into a single logical group that will be persisted as a whole or rolled back upon failure. By moving write-atomicity down the stack into the storage device, it is possible to significantly reduce the amount of work required at the application, filesystem, or operating system layers to guarantee the consistency and integrity of data. In this work we provide a proof of concept implementation of atomic-write on a modern solid state device that leverages the underlying log-based flash translation layer (FTL). We present an example of how database management systems can benefit from atomic-write by modifying the MySQL InnoDB transactional storage engine. Using this new atomic-write primitive we are able to increase system throughput by 33%, improve the 90th percentile transaction response time by 20%, and reduce the volume of data written from MySQL to the storage subsystem by as much as 43% on industry standard benchmarks, while maintaining ACID transaction semantics.
Xiangyong Ouyang, David W. Nellans, Robert Wipfel, David Flynn, Dhabaleswar K. Panda 0001
HPCA3