20.500.12556/DKUM-37959 UGLAŠEVANJE ZMOGLJIVOSTI APLIKACIJSKIH STREŽNIKOV JAVA EE Z ALGORITMOM DIFERENCIALNE EVOLUCIJE PERFORMANCE TUNING OF JAVA EE APPLICATION SERVERS WITH DIFFERENTIAL EVOLUTION ALGORITHM V magistrskem delu predstavimo empirični pristop uglaševanja zmogljivosti aplikacijskih strežnikov (AS) Java EE. Pri tem uporabimo algoritem diferencialne evolucije GDE3 za večkriterijsko optimizacijo izbranih konfiguracijskih parametrov AS po principu črne škatle. V uvodnih poglavjih podamo raziskovalne hipoteze, orišemo proces uglaševanja zmogljivosti, arhitekturo AS Java EE in delovanje algoritma diferencialne evolucije GDE3. Sledi obravnava sorodnih del in podrobna predstavitev predlaganega pristopa, ki ga uporabimo za uglaševanje zmogljivosti AS GlassFish in preizkusne aplikacije Java EE DayTrader. Dosežene rezultate prikažemo tabelarično in grafično ter jih statistično analiziramo, pri tem sproti ovrednotimo zastavljene raziskovalne hipoteze. Na koncu podamo nekatere konceptualne ideje za nadgradnjo predlaganega pristopa, da bi se le-ta bolje vključeval v sodobno industrijsko paradigmo avtonomnega računalništva. In this MSc thesis we present an empirical approach for performance tuning of Java EE application servers (AS). To achieve this goal we use the differential evolution algorithm GDE3 for multi-objective black-box optimization of selected configuration parameters of AS. In the introductory chapters we define the research hypotheses, outline the performance tuning process, the architecture of Java EE AS and the operation of differential evolution algorithm GDE3. Discussion of related works and a detailed presentation of the proposed approach, which is used for performance tuning of AS GlassFish and Java EE test application DayTrader, follow. The achieved results are shown in tabular and graphical form with accompanying statistical analysis while the research hypotheses are simultaneously evaluated. At the end we propose some conceptual ideas to upgrade the proposed approach so it would be more compatible with the modern industrial paradigm of autonomic computing. proces uglaševanja zmogljivosti aplikacijski strežniki Java Enterprise Edition večkriterijska optimizacija diferencialna evolucija empirični pristop avtonomno računalništvo performance tuning process application servers Java Enterprise Edition multi-objective optimization differential evolution empirical approach autonomic computing true true false [M. Lešnik] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2012-09-13 16:03:02 2012-11-15 13:51:17 2022-04-25 23:03:11 2021-04-19 03:13:16 2012 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.774.021(043.2) 16440086 URN:SI:UM:DK:UGUG1WS7 MAG_Lesnik_Marko_2012.pdf MAG_Lesnik_Marko_2012.pdf 1 FF74E0396FEA7D003B053CFDC612EAFA 3b0a4961fa584e7ddb19a8563123a3abd15f2aafd4d238ddc0f9fd6bbdd3eaba 609ac961-7c08-11eb-bb7a-00155d0001ca 20.500.12556/dkum/e25ecd48-6269-4321-aa89-42340156cd32 https://dk.um.si/Dokument.php?lang=slv&id=50374 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0