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Richard F. Freitas

dblp:83/6105 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none

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

Systems, architecture and hardware · 2Databases, data management, data science and information retrieval · 1 · 1 first-author

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
2 papers
Memory systems · 69% Storage systems · 30% Hardware reliability and fault tolerance · 0%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems
non-volatile memory
0.112009
Storage class memory: technology, systems and applications · SIGMOD Conference 2009
Storage systems › flash and SSD
solid-state drive
0.112009
Storage class memory: technology, systems and applications · SIGMOD Conference 2009
Memory systems › non-volatile memory
storage class memory
0.112009
Storage class memory: technology, systems and applications · SIGMOD Conference 2009
Distributed systems › fault tolerance › resilience
graceful degradation
0.011975
A Reliability Model for Gracefully Degrading and Standby-Sparing Systems · IEEE Trans. Computers 1975
Hardware reliability and fault tolerance
reliability modeling
0.011975
A Reliability Model for Gracefully Degrading and Standby-Sparing Systems · IEEE Trans. Computers 1975
Hardware reliability and fault tolerance › redundancy
standby sparing
0.011975
A Reliability Model for Gracefully Degrading and Standby-Sparing Systems · IEEE Trans. Computers 1975
YearPublicationVenuePosition
2009 Storage class memory: technology, systems and applications
abstract
Storage Class Memory (SCM) is the term used to describe a new class of solid-state, nonvolatile memory technologies. There are several (≥10) such technologies currently under active research and development that are vying to become the SCM of choice. As a group, their performance is nearer memory than storage while their cost is nearer storage than memory. In the systems designer's eye, these performance and cost characteristics blur the historic distinction between memory and storage. Exploiting SCM will require significant changes in the design of memory and storage systems. These changes at the system level will force or enable changes at the application level as well as opening up new application opportunities.
Richard F. Freitas
SIGMOD Conference1
2006 Exotic technologies II - HPC storage systems of 2020
abstract
Experts in advanced system technologies will predict the design of the best HPC Storage Systems in 2020. They will defend why they think the technology they select will be the winning technology 15 years from now. The panelists will pick one set of technology - not a list of possibilities - to define the system. They will define the performance and aspects of the technologies and explain why their system is the most likely to succeed.Besides questions and comments at the sessions, attendees will vote for the proposed systems of 2020 they think are most likely to succeed. The presentations, votes and attendee comments will all be sealed in a time capsule that will be opened in 2020, which will be used in 2020 to compare the predications to reality. The time capsule will also include an appropriate prize for the presenter who made the best prediction. The winner needs to be present to collect their prize.
Garth A. Gibson, Mark H. Kryder, Richard F. Freitas
SC3
1975 A Reliability Model for Gracefully Degrading and Standby-Sparing Systems
abstract
A model for analyzing the reliability of gracefully degrading and standby-sparing computer systems is developed. The basis of the model is the identification of four distinct causes of crashes: time-domain multiple faults, resource exhaustion, space-domain multiple faults, and solitary faults. Expressions are developed for each of these crash-causing mechanisms and for their interrelationship. The model is then demonstrated by using it to analyze the reliability of a gracefully degrading computer system called PRIME.
Barry R. Borgerson, Richard F. Freitas
IEEE Trans. Computers2