Automatic Scaling Mechanism of Intermodal EDI System under Green Cloud Computing

Algorithm 1

XEDI’s automatic expansion algorithm.

	name: autoScalingUp
	input: none
	output: none
	Define variable I: Expansion index; Define variable scalingStrategy: Capacity expansion policy: Non-predictive capacity expansion if the value is 0, predictive capacity expansion if the value is not 0; Define a collection<POD>: POD collections that need to be expanded; Define a collection<EXPOD>: A collection of pods with poor performance; Define a collection<POP>: POD optimization solution set;
	Main-loop {
	retrieve XEDI context from CAT as XEDI.C; //Get the XEDI context from CAT
	//Calculate the average message processing time and average throughput of XEDI
	;
	if ( and ) {
	//POD nodes with normal throughput but abnormal message processing time
	for (step i from 1 to 3) {
	for (each XEDI pod in step i from K8S) {
	retrieve pod. C;
	// Calculate the average data processing time and average throughput of POD
	;
	if ( and ) {
	add this unhealthy pod to collection<EXPOD>;
	}}}
	report collection<EXPOD> to CAT as performance exception; //Report exception triggers to CAT
	enter next loop;
	}
	If (scalingStrategy = = 0) {
	//According to formulas (2) and (3), qi = 1, the responsive capacity expansion index based
	//on mixed load rate is calculated
	;
	} else {
	//According to formulas (5)–(7), the predictive expansion index was calculated
	;
	}
	if (I > Imax) {
	//Enter the expansion process and get the POD set of XEDI
	for (each XEDI pod in K8S) {
	retrieve pod. C;
	//Avoid frequent POD scaling by cooling-off time
	if (currentTime-pod. lastScalingTime < pod. C. ) {
	enter next loop;
	}
	//Calculate POD expansion index
	If (scalingStrategy = = 0) {
	//According to formulas (2) and (3), qi = 1, the response expansion index based on
	//mixed load rate was calculated
	;
	} else {
	//According to formulas (5)–(7), the predictive telescopic index is calculated
	;
	}
	//Make scaling decisions
	if () {//Calculate and update POD expansion metrics
	If (scalingStrategy = = 0) {
	//In response mode, qi = 1 is calculated according to formulas (2) and (3) to calculate //data grouping processing time and throughput,
	//Queue wait time and response metrics for CPU and memory utilization
	update pod context (
	);
	} else {
	//Predictive mode, according to formulas (4)–(6), calculate data grouping //processing time, throughput, Queue wait times and predictors of CPU and //memory utilization
	update pod context (
	);
	}
	add this pod to collection<POD>;
	}}
	//Calculate configuration optimizations for POD collections that need to be scaled up
	for (each pod in collection<POD>) {
	//POD optimization scheme is calculated by queuing theory system
	compute PodOptimizationPlan(pop) for pod by queue system;
	add this pop to collection<POP>;
	}
	//Confirm whether K8S resources meet the expansion conditions
	if (R not adequate for collection<POP> scaling-up) {
	//When the available resources are used up, try to apply for resources from the container
	//cloud and preempt dynamically when the resources are insufficient try to apply resource
	//increment as ;
	if ( == 0) {
	//Performance is abnormal and additional computing resources cannot be
	//requested from the container cloud report resource exhausted exception to
	//CAdvisor;
	enter next loop;
	}
	; ; //Update total resources
	}
	//Allocate resources for POD according to Algorithm2
	call XDRF algorithm for collection<POP> with Rc By XTuning. Scheduler;
	}
	If () {
	//Normal performance without expansion, according to the Algorithm 3 asynchronous
	//trigger shrinkage process
	asyn_invoke auto scaling-down with XEDI.C;
	}}