Int-FLBCC: Model for Load Balancing in Cloud Computing using Fuzzy Logic Type-2 and Admissible Orders
| Autor: | Bruno Moura, Guilherme Bayer Schneider, Renata Reiser, Adenauer Yamin |
|---|---|
| Přispěvatelé: | Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES), PqG-FAPERGS (17/2551-0001207-0), Pq-CNPq (310106/2016-8) e FAPERGS/CNPq 12/2014 - PRONEX (16/2551-0000488-9) |
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization General Computer Science business.industry Computer science Quality of service Cloud computing 02 engineering and technology Load balancing (computing) computer.software_genre Fuzzy logic 020901 industrial engineering & automation Virtual machine Service level Computer Science 0202 electrical engineering electronic engineering information engineering Uncertainty Resource management Data centers Random access memory 020201 artificial intelligence & image processing business computer Electrical efficiency Efficient energy use |
| Zdroj: | Revista de Informática Teórica e Aplicada; v. 27, n. 3 (2020); 102-117 |
| ISSN: | 2175-2745 0103-4308 |
| DOI: | 10.22456/2175-2745.98362 |
| Popis: | Dynamic consolidation of virtual machines (VMs) is an effective way to improve resource utilization and power efficiency in cloud computing, directly affecting Quality of Service aspects. This paper presents Int-FLBCC, a new proposal with exploring a Type-2 Fuzzy Logic approach to address the uncertainties and inaccuracies in determining resource usage, aiming at energy savings with minimal performance degradation. Validation results in a simulated cloud computing environment showed improvements in energy efficiency of 8.83% with IQR_XY and 22.43% with MAD_XY. For fulfillment of Service Level Agreements (SLA), the best values achieved were 9.06% with MAD_XY and 25% of THR_Lex1. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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