Multi-Objective Optimization for Virtual Machine Allocation and Replica Placement in Virtualized Hadoop

Resource management is a key factor in the performance and efficient utilization of cloud systems, and many research works have proposed efficient policies to optimize such systems. However, these policies have traditionally managed the resources individually, neglecting the complexity of cloud syst...

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Vydané v:	IEEE transactions on parallel and distributed systems Ročník 29; číslo 11; s. 2568 - 2581
Hlavní autori:	Guerrero, Carlos, Lera, Isaac, Bermejo, Belen, Juiz, Carlos
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.11.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Classification Cloud computing evolutionary computing and genetic algorithms file replica placement Genetic algorithms hadoop Multiple objective analysis Optimization Placement Policies Power consumption Power demand Resource management Sorting Sorting algorithms Virtual environments Virtual machine allocation Virtual machining
ISSN:	1045-9219, 1558-2183
On-line prístup:	Získať plný text
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