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Jeff Hagins

dblp:98/1597 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1986
—ORCID · none

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

Systems, architecture and hardware · 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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Memory systems · 61% Storage systems · 30% Performance modeling and evaluation · 9%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems › memory management › memory allocation › dynamic memory allocation
buddy system
0.011986
Improving the Performance of Buddy Systems · IEEE Trans. Computers 1986
Memory systems › memory management › memory allocation
dynamic memory allocation
0.011986
Improving the Performance of Buddy Systems · IEEE Trans. Computers 1986
Storage systems › storage management
fragmentation reduction
0.011986
Improving the Performance of Buddy Systems · IEEE Trans. Computers 1986
Performance modeling and evaluation
simulation
0.011986
Improving the Performance of Buddy Systems · IEEE Trans. Computers 1986

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

simulation · 0.0
YearPublicationVenuePosition
1986 Improving the Performance of Buddy Systems
abstract
This paper discusses ways of reducing fragmentation ion in buddy systems. Although internal fragmentation may be estimated for any buddy system, external fragmentation cannot be determined theoretically. It is suggested here that mean external fragmentation for any buddy system is directly related to the height of the associated binary tree. Simulation studies with a new buddy system support this conjecture. Attempts at reducing internal fragmentation have, in the past, increased the tree height covering the range of request sizes and given rise to a commensurate increase in external fragmentation. A new buddy system is described which supports a large number of buddy sizes without requiring a large tree height. The new scheme is a modified form of the weighted buddy method, entitled the dual buddy system. It provides the same set of block sizes as the weighted scheme but has the same tree height as the binary buddy system. Simulation results show that mean external fragmentation is within four percent of that of the binary system and much lower than that of the weighted scheme. The new system has better overall storage utilization han others for uniform random request sizes.
Ivor P. Page, Jeff Hagins
IEEE Trans. Computers2