RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm

RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm

Abstract Allocating resources is crucial in large-scale distributed computing, as networks of computers tackle difficult optimization problems. Within the scope of this discussion, the objective of resource allocation is to achieve maximum overall computing efficiency or throughput. Cloud computing...

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Bibliographic Details
Main Authors: Moses Ashawa, Oyakhire Douglas, Jude Osamor, Riley Jackie
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Cloud efficiency
Resource allocation
Load balancing
Traffic load
Cost of service (CoS)
Long-short term memory (LSTM)
Online Access:https://doi.org/10.1186/s13677-022-00362-x

Internet

https://doi.org/10.1186/s13677-022-00362-x

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