Development of a heterogeneous load balancing algorithm for Hadoop
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
In this Master's thesis, an adaptive load balancing algorithm is developed to be used in dynamic heterogenous distributed systems using Hadoop distributed storage solution. Said algorithm is based on solution search by social spider optimisation and optimising for minimum resource makespan on nodes that are not idle. This enables partial satisfaction of requests.
Author
Erkin Alp Güney
Institution
How to Cite
Erkin Alp Güney (Master Thesis). Development of a heterogeneous load balancing algorithm for Hadoop, 2019, Ege University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Ege University
- Increasing the fertilization yield of trout eggs(2013)
- Two "Âşık" in the city environment: Maksut Koca and Nevruz Ali̇ Çi̇çek(2015)
- Blood use standardization according to risk score on congenital heart surgery(2015)
- Effect of microfibers on mechanical and durability properties of cement mortar mixtures(2015)
- Comparative lexicon of Qipchaq Turkish on the base of codex cumanicus(2015)
- Investigation of phyto-microbial remediation of arsenate resistance in Gönen rice by removal of arsenite(2019)
