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Yiu-Yo Yih

dblp:47/4841 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1983
—ORCID · none

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

Software engineering, systems software and programming languages · 1

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.

Software engineering, system software, and programming languages
1 paper
Operating systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Operating systems › resource management
memory management
0.011983
VSWS: The Variable-Interval Sampled Working Set Policy · IEEE Trans. Software Eng. 1983
Operating systems › resource management › memory management
page replacement
0.011983
VSWS: The Variable-Interval Sampled Working Set Policy · IEEE Trans. Software Eng. 1983
Operating systems › resource management › memory management
virtual memory
0.011983
VSWS: The Variable-Interval Sampled Working Set Policy · IEEE Trans. Software Eng. 1983

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

trace-driven simulation · 0.0
YearPublicationVenuePosition
1983 VSWS: The Variable-Interval Sampled Working Set Policy
abstract
A local variable-size memory policy called the variable-interval sampled working set (VSWS) policy is described. The results of trace-driven simulation experiments reported here show that VSWS has a static performance comparable to those of the working set (WS) and sampled working set (SWS) policies, a dynamic performance better than those of WS, SWS, and the page fault frequency (PFF) policy, and similar to that of the damped working set (DWS) policy. Furthermore, VSWS generaly causes substantially less process suspensions than SWS, and is less expensive to implement than WS or DWS, since it requires the same hardware support as SWS and PFF. The sampling overhead of VSWS is comparable to that of SWS and lower than that of PFF.
Domenico Ferrari, Yiu-Yo Yih
IEEE Trans. Software Eng.2