Ärisüsteemide partitsioneerimine Docker platvormil
Date
2016
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Abstract
Ärisüsteemid on keerulised arvutisüsteemid, mis loovad väärtust nende omanikele. Reegilina süsteemide väärtused koos oma olemustega erinevad üksteisest, kuid süsteemid ise on ehitatud geneerilisematest komponentidest, mis on kokku seotud tegelikku väärtust lisava äriloogikaga. Antud süsteemid võivad olla paigutatud suurtesse riistvaraklastritesse. Sellest tulenevalt võib selliste süsteemide loomine ja haldamine nõuda märgatavalt vaeva.\n\rKäesolev lõputöö uurib Dockerit, mis on tarkvara konteinerite platvorm. Seda kasutedes on püütud standardiseerida ning automatiseerida tehisliku ärisüsteemi juurtamist. Ühtlasi fokuseerib antud uurimistöö ärisusteemide partitsioneerimise automatiseerimisele mitmele riistvara sõlmele. Selle saavutamiseks testitakse METIS graafi partitsioneerimise teekide ja tööriistadega.
Enterprise systems are complex computer systems that create business value to their owners. This value and the nature of these systems varies but usually they are built from many more general software components that are tied together with custom and value-adding business logic. These systems can expand extensive hardware clusters. All this means that they often require noticeable effort to develop and manage.\n\rThis thesis makes a study of a software container platform named Docker by standardizing and automating the deployment of a mock enterprise system. Also this study focuses on automating the partitioning of these enterprise system into multiple hardware nodes. It aims to achieve this using METIS graph partitioning toolset.
Enterprise systems are complex computer systems that create business value to their owners. This value and the nature of these systems varies but usually they are built from many more general software components that are tied together with custom and value-adding business logic. These systems can expand extensive hardware clusters. All this means that they often require noticeable effort to develop and manage.\n\rThis thesis makes a study of a software container platform named Docker by standardizing and automating the deployment of a mock enterprise system. Also this study focuses on automating the partitioning of these enterprise system into multiple hardware nodes. It aims to achieve this using METIS graph partitioning toolset.