Presentation 2014-08-01
Optimal Policies for Periodic Incremental Garbage Collection
Syouji NAKAMURA, Xufeng ZHAO, Toshio NAKAGAWA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Garbege collection(GC) technique is a program used memory for other programs, and can reuse the domain that became unnecessary it. As for the various technique of garbege collection, generatic GC, incremental GC and so on. Incremental GC aims to decreases the pause times during compaction by distributing compaction work across different GC cycles. In this paper, incremental GC cycle is carried out periodicaly, using the techniques of stocastic model and reliability theory, expected cost rates are obtained, and optimal policies of incremental GC time which minimize them are discussed.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Garbage collection / Incremental Garbage collection / Stochastic Model / Cumulative process / Expected cost
Paper # R2014-22
Date of Issue

Conference Information
Committee R
Conference Date 2014/7/25(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Reliability(R)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Optimal Policies for Periodic Incremental Garbage Collection
Sub Title (in English)
Keyword(1) Garbage collection
Keyword(2) Incremental Garbage collection
Keyword(3) Stochastic Model
Keyword(4) Cumulative process
Keyword(5) Expected cost
1st Author's Name Syouji NAKAMURA
1st Author's Affiliation Department of Life Management, Kinjo Gakuin University()
2nd Author's Name Xufeng ZHAO
2nd Author's Affiliation Department of Business Administration, Aichi Institute of Technology
3rd Author's Name Toshio NAKAGAWA
3rd Author's Affiliation Department of Business Administration, Aichi Institute of Technology
Date 2014-08-01
Paper # R2014-22
Volume (vol) vol.114
Number (no) 170
Page pp.pp.-
#Pages 4
Date of Issue