RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm

Journal of Cloud Computing

Advances, Systems and Applications

Table 1 Summary of related work

Technique	Platform	Metric	Pre-processing	Prediction section	References
Sla Approach	Cloud	Service Level Agreement	Yes	Multi section	[29]
Genetic Algorithm	IaaS cloud	Price And Profitability	No	One section	[17]
Skewness Algorithm	IaaS cloud	System Overload	No	Multi section	[41]
Adaptive Prediction	Cloudsim	Resource Utilization/ Load Balancing/QOS	No	Multi section	[13]
Heuristic Approaches	Cloud-based	Quality of Service, Resource Management,	No	Multi section	[10]
Hybrid Algorithm (TLBO, GWO)	Google Trace data centre	Maximizing Throughput	Yes	Multi section	[26]
Dynamic LB Algorithm,	Cloudsim	Quality of Service, Short-Term Host Utilization Prediction	No	One section	[36]
Resource Allocator Model.	Ali baba Data Set	Cost Of Allocation, Resource Consumption, Processing Time, And Reliability	No	One section	[28]
Hybrid Swarm Optimization Approach	Cloud	Efficient Allocation of Resources, Minimizing the Longest Job Completion Time	No	Multi section	[7]