[HTML][HTML] RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning …

M Ashawa, O Douglas, J Osamor, R Jackie - Journal of Cloud Computing, 2022 - Springer
Allocating resources is crucial in large-scale distributed computing, as networks of
computers tackle difficult optimization problems. Within the scope of this discussion, the …

[PDF][PDF] Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm

M Ashawa, O Douglas, J Osamor, R Jackie - 2022 - researchgate.net
Allocating resources is crucial in large-scale distributed computing, as networks of
computers tackle difficult optimization problems. Within the scope of this discussion, the …

RETRACTED: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm

M Ashawa, D Oyakhire… - Journal of Cloud …, 2022 - researchonline.gcu.ac.uk
Allocating resources is crucial in large-scale distributed computing, as networks of
computers tackle difficult optimization problems. Within the scope of this discussion, the …

Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm.

M Ashawa, O Douglas, J Osamor… - Journal of Cloud …, 2022 - search.ebscohost.com
Allocating resources is crucial in large-scale distributed computing, as networks of
computers tackle difficult optimization problems. Within the scope of this discussion, the …

[HTML][HTML] RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning …

M Ashawa, O Douglas… - Journal of …, 2022 - journalofcloudcomputing …
Allocating resources is crucial in large-scale distributed computing, as networks of
computers tackle difficult optimization problems. Within the scope of this discussion, the …

[引用][C] Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm

M Ashawa, O Douglas, J Osamor… - Journal of Cloud …, 2022 - jglobal.jst.go.jp
Improving cloud efficiency through optimized resource allocation technique for load
balancing using LSTM machine learning algorithm | Article Information | J-GLOBAL Art J-GLOBAL …

RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm

M Ashawa, O Douglas, J Osamor… - Journal of Cloud …, 2022 - search.proquest.com
Allocating resources is crucial in large-scale distributed computing, as networks of
computers tackle difficult optimization problems. Within the scope of this discussion, the …

RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm

M Ashawa, O Douglas, J Osamor, R Jackie - Journal of Cloud …, 2022 - dl.acm.org
Allocating resources is crucial in large-scale distributed computing, as networks of
computers tackle difficult optimization problems. Within the scope of this discussion, the …

[PDF][PDF] Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm

M Ashawa, O Douglas, J Osamor, R Jackie - 2022 - scholar.archive.org
Allocating resources is crucial in large-scale distributed computing, as networks of
computers tackle difficult optimization problems. Within the scope of this discussion, the …

[HTML][HTML] RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning …

M Ashawa, O Douglas… - Journal of …, 2022 - journalofcloudcomputing …
Allocating resources is crucial in large-scale distributed computing, as networks of
computers tackle difficult optimization problems. Within the scope of this discussion, the …