Matches in SemOpenAlex for { <https://semopenalex.org/work/W2573246392> ?p ?o ?g. }
- W2573246392 endingPage "365" @default.
- W2573246392 startingPage "349" @default.
- W2573246392 abstract "Most Big Data systems are written in managed languages, such as Java, C#, or Scala. These systems suffer from severe memory problems due to the massive volume of objects created to process input data. Allocating and deallocating a sea of data objects puts a severe strain on existing garbage collectors (GC), leading to high memory management overheads and reduced performance.This paper describes the design and implementation of Yak, a Big Data friendly garbage collector that provides high throughput and low latency for all JVM-based languages. Yak divides the managed heap into a control space (CS) and a data space (DS), based on the observation that a typical data-intensive system has a clear distinction between a control path and a data path. Objects created in the control path are allocated in the CS and subject to regular tracing GC. The lifetimes of objects in the data path often align with epochs creating them. They are thus allocated in the DS and subject to region-based memory management. Our evaluation with three large systems shows very positive results." @default.
- W2573246392 created "2017-01-26" @default.
- W2573246392 creator A5013166244 @default.
- W2573246392 creator A5016315666 @default.
- W2573246392 creator A5026911617 @default.
- W2573246392 creator A5039161616 @default.
- W2573246392 creator A5050695684 @default.
- W2573246392 creator A5061448314 @default.
- W2573246392 creator A5083089425 @default.
- W2573246392 date "2016-11-02" @default.
- W2573246392 modified "2023-09-24" @default.
- W2573246392 title "Yak: a high-performance big-data-friendly garbage collector" @default.
- W2573246392 cites W1419077817 @default.
- W2573246392 cites W1473115402 @default.
- W2573246392 cites W1493893823 @default.
- W2573246392 cites W1519442771 @default.
- W2573246392 cites W1587813347 @default.
- W2573246392 cites W1788180225 @default.
- W2573246392 cites W1963848325 @default.
- W2573246392 cites W1981962444 @default.
- W2573246392 cites W1984775394 @default.
- W2573246392 cites W1990535818 @default.
- W2573246392 cites W1993544047 @default.
- W2573246392 cites W2022911909 @default.
- W2573246392 cites W2035974062 @default.
- W2573246392 cites W2040070287 @default.
- W2573246392 cites W2045255985 @default.
- W2573246392 cites W2050801173 @default.
- W2573246392 cites W2052951836 @default.
- W2573246392 cites W2061248378 @default.
- W2573246392 cites W2068583978 @default.
- W2573246392 cites W2082171780 @default.
- W2573246392 cites W2083541728 @default.
- W2573246392 cites W2085040115 @default.
- W2573246392 cites W2087466192 @default.
- W2573246392 cites W2097685561 @default.
- W2573246392 cites W2098883184 @default.
- W2573246392 cites W2098935637 @default.
- W2573246392 cites W2100819849 @default.
- W2573246392 cites W2100830825 @default.
- W2573246392 cites W2101464091 @default.
- W2573246392 cites W2101857770 @default.
- W2573246392 cites W2110086534 @default.
- W2573246392 cites W2114103324 @default.
- W2573246392 cites W2116318340 @default.
- W2573246392 cites W2119400430 @default.
- W2573246392 cites W2119714163 @default.
- W2573246392 cites W2120808438 @default.
- W2573246392 cites W2123683215 @default.
- W2573246392 cites W2128284389 @default.
- W2573246392 cites W2129133667 @default.
- W2573246392 cites W2141157907 @default.
- W2573246392 cites W2141871141 @default.
- W2573246392 cites W2147104457 @default.
- W2573246392 cites W2152432695 @default.
- W2573246392 cites W2154849212 @default.
- W2573246392 cites W2154894831 @default.
- W2573246392 cites W2156225894 @default.
- W2573246392 cites W2156956446 @default.
- W2573246392 cites W2160768644 @default.
- W2573246392 cites W2161531345 @default.
- W2573246392 cites W2161719857 @default.
- W2573246392 cites W2163365446 @default.
- W2573246392 cites W2166091242 @default.
- W2573246392 cites W2167889790 @default.
- W2573246392 cites W2168561902 @default.
- W2573246392 cites W2170927924 @default.
- W2573246392 cites W2173213060 @default.
- W2573246392 cites W2189465200 @default.
- W2573246392 cites W2260553848 @default.
- W2573246392 cites W2265297126 @default.
- W2573246392 cites W2320283508 @default.
- W2573246392 cites W2912802084 @default.
- W2573246392 cites W568047656 @default.
- W2573246392 doi "https://doi.org/10.5555/3026877.3026905" @default.
- W2573246392 hasPublicationYear "2016" @default.
- W2573246392 type Work @default.
- W2573246392 sameAs 2573246392 @default.
- W2573246392 citedByCount "22" @default.
- W2573246392 countsByYear W25732463922017 @default.
- W2573246392 countsByYear W25732463922018 @default.
- W2573246392 countsByYear W25732463922019 @default.
- W2573246392 countsByYear W25732463922020 @default.
- W2573246392 countsByYear W25732463922021 @default.
- W2573246392 crossrefType "proceedings-article" @default.
- W2573246392 hasAuthorship W2573246392A5013166244 @default.
- W2573246392 hasAuthorship W2573246392A5016315666 @default.
- W2573246392 hasAuthorship W2573246392A5026911617 @default.
- W2573246392 hasAuthorship W2573246392A5039161616 @default.
- W2573246392 hasAuthorship W2573246392A5050695684 @default.
- W2573246392 hasAuthorship W2573246392A5061448314 @default.
- W2573246392 hasAuthorship W2573246392A5083089425 @default.
- W2573246392 hasConcept C105122174 @default.
- W2573246392 hasConcept C109701466 @default.
- W2573246392 hasConcept C111919701 @default.
- W2573246392 hasConcept C134757568 @default.
- W2573246392 hasConcept C136085584 @default.
- W2573246392 hasConcept C173608175 @default.