Dynamic Q-Learning-Based Optimized Load Balancing Technique in Cloud

Algorithm 2

Reward apply for VM minimum configuration.

	If i = = master, then
	Else If i = = slave or older, then
	Check the total value = max value
	Else If i = = member, then
	End if
	For Progress the swarm to acquire new solutions
	If Nkill = 0 and Ns < Nsmax then
	Make fresh VM per minimum config
	Until X < Xmax
	Else
	Update SC = SC + 1
	If SC = SCcmax then
	Reset the SC
	End if
	End if
	Else if Nkill ≠ 0 and X < Xmin
	Delete the final VM
	Update the solution set
	End if
	While recurrence the evolving process until no new RIN learning theory
	End for
	IF VM load > Host_Intial
	for every HVm < -Fact increased
	HVm < -Newer.HostId
	end IF
	end For
	Start the VM on this host
	Start VM VM_id, LHost
	end loop