Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Magnus E. Bjornsson

dblp:54/1966 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2002
—ORCID · none

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

Software engineering, systems software and programming languages · 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
1 paper
Distributed systems · 91% Storage systems · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
distributed caching
0.012002
BuddyCache: high-performance object storage for collaborative strong-consistency applications in a WAN · OOPSLA 2002
Distributed systems
replication
0.012002
BuddyCache: high-performance object storage for collaborative strong-consistency applications in a WAN · OOPSLA 2002
Distributed systems › consistency models
strong consistency
0.012002
BuddyCache: high-performance object storage for collaborative strong-consistency applications in a WAN · OOPSLA 2002
Storage systems › networked storage
wide-area storage
0.012002
BuddyCache: high-performance object storage for collaborative strong-consistency applications in a WAN · OOPSLA 2002

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

benchmarking · 0.0analytical modeling · 0.0
YearPublicationVenuePosition
2002 BuddyCache: high-performance object storage for collaborative strong-consistency applications in a WAN
abstract
Collaborative applications provide a shared work environment for groups of networked clients collaborating on a common task. They require strong consistency for shared persistent data and efficient access to fine-grained objects. These properties are difficult to provide in wide area networks because of high network latency.BuddyCache is a new transactional caching approach that improves the latency of access to shared persistent objects for collaborative strong-consistency applications in high-latency network environments. The challenge is to improve performance while providing the correctness and availability properties of a transactional caching protocol in the presence of node failures and slow peers.We have implemented a BuddyCache prototype and evaluated its performance. Analytical results, confirmed by measurements of the BuddyCache prototype using the multi-user 007 benchmark indicate that for typical Internet latencies, e.g. ranging from 40 to 80 milliseconds round trip time to the storage server, peers using BuddyCache can reduce by up to 50% the latency of access to shared objects compared to accessing the remote servers directly.
Magnus E. Bjornsson, Liuba Shrira
OOPSLA1