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scientific master's theses
Modeliranje adaptacijskih metoda za dodjelu i zbrinjavanje memorije
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2006. urn:nbn:hr:168:420065
Ivančić, Dorian
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Control and Computer Engineering

Cite this document

Ivančić, D. (2006). Modeliranje adaptacijskih metoda za dodjelu i zbrinjavanje memorije (Scientific master's theses). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:420065

Ivančić, Dorian. "Modeliranje adaptacijskih metoda za dodjelu i zbrinjavanje memorije." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2006. https://urn.nsk.hr/urn:nbn:hr:168:420065

Ivančić, Dorian. "Modeliranje adaptacijskih metoda za dodjelu i zbrinjavanje memorije." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2006. https://urn.nsk.hr/urn:nbn:hr:168:420065

Ivančić, D. (2006). 'Modeliranje adaptacijskih metoda za dodjelu i zbrinjavanje memorije', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:420065

Ivančić D. Modeliranje adaptacijskih metoda za dodjelu i zbrinjavanje memorije [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2006 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:420065

D. Ivančić, "Modeliranje adaptacijskih metoda za dodjelu i zbrinjavanje memorije", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2006. Available at: https://urn.nsk.hr/urn:nbn:hr:168:420065

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Metadata
TitleModeliranje adaptacijskih metoda za dodjelu i zbrinjavanje memorije
Title (english)Modeling of adaptive methods for memory allocation and garbage collection
AuthorDorian Ivančić
MentorDanko Basch (mentor)
Committee memberMario Žagar (predsjednik povjerenstva)
Committee memberDanko Basch (član povjerenstva)
Committee memberDavor Antonić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Control and Computer Engineering)
Zagreb
Defense date and country2006-05-31, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Universal decimal classification
(UDC)		004 - Computer science and technology. Computing. Data processing
Abstract
Performanse rada korisničkog programa uvelike ovise o algoritmima za dodjelu te algoritmima za automatsko zbrinjavanje memorije koji se danas sve više primjenjuju u različitim programskim jezicima i alatima. Pri dizajnu novog ili modifikaciji već postojećeg algoritma izuzetno je teško predvidjeti način njegova rada. U ovom radu izrađena je okolina koja omogućava modeliranje i simuliranje rada računalne memorije, procesa i algoritama vezanih uz nju. U spomenutoj okolini modelirano je nekoliko varijanti modificiranog algoritma označi-oslobodi za automatsko zbrinjavanje memorije. U standardni algoritam uvedene su generacije i nekoliko tehnika adaptacije rada algoritma načinu ponašanja korisničkog programa. Simulacijama prikupljeni rezultati potvrđuju pretpostavku da je primjenom adaptacijskih metoda, u odnosu na statičko ponašanje algoritma, moguće postići bolju efikasnost. Rezultati ovog istraživanja ukazuju na jedan od mogućih smjerova kretanja pri danjem istraživanju u području algoritama za automatsko zbrinjavanje memorije.
Abstract (english)
The performance of user application depends on the memory allocation algorithms and garbage collection algorithms which are nowadays very frequently used in various applications and program languages. During design of a new or modification of an existing algorithm it is very hard to anticipate it's behavior. In this thesis, environment for modeling and simulation of computer memory, related processes and used algorithms is implemented. Several alternatives of the standard mark-sweep garbage collection algorithm were modeled in it. Generations as well as a few techniques for adaptation of garbage collection algorithm to the behavior of a user application were introduced. Results which are obtained by running simulations, confirm the assumption that adaptive garbage collection has better efficiency than static garbage collection. This research gives one of the possible directions for further researches in the field of automatic garbage reclamation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:420065
Study programmeTitle: Postgraduate master programe in computing
Study programme type: university
Study level: postgraduate
Academic / professional title: magistar inženjer računarstva (magistar inženjer računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
RepositoryFER Repository
Created on2019-07-17 13:25:02

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