org.cloudsimplus.autoscaling.VerticalVmScaling Maven / Gradle / Ivy
Show all versions of cloudsim-plus Show documentation
/*
* CloudSim Plus: A modern, highly-extensible and easier-to-use Framework for
* Modeling and Simulation of Cloud Computing Infrastructures and Services.
* http://cloudsimplus.org
*
* Copyright (C) 2015-2021 Universidade da Beira Interior (UBI, Portugal) and
* the Instituto Federal de Educação Ciência e Tecnologia do Tocantins (IFTO, Brazil).
*
* This file is part of CloudSim Plus.
*
* CloudSim Plus is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* CloudSim Plus is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with CloudSim Plus. If not, see .
*/
package org.cloudsimplus.autoscaling;
import org.cloudbus.cloudsim.allocationpolicies.VmAllocationPolicy;
import org.cloudbus.cloudsim.brokers.DatacenterBroker;
import org.cloudbus.cloudsim.cloudlets.Cloudlet;
import org.cloudbus.cloudsim.datacenters.Datacenter;
import org.cloudbus.cloudsim.resources.*;
import org.cloudbus.cloudsim.utilizationmodels.UtilizationModel;
import org.cloudbus.cloudsim.vms.Vm;
import org.cloudsimplus.autoscaling.resources.ResourceScaling;
import org.cloudsimplus.listeners.EventListener;
import org.cloudsimplus.listeners.VmHostEventInfo;
import java.util.function.Function;
import static org.cloudbus.cloudsim.utilizationmodels.UtilizationModel.Unit;
/**
* A Vm Vertical Scaling
* mechanism used by a {@link DatacenterBroker} to request the dynamic scale of
* VM resources up or down, according to the current resource usage.
* For each resource supposed to be scaled, a different {@code VerticalVmScaling}
* instance should be provided.
* If a scaling object is going to be set to a Vm, it has to be exclusive of that Vm.
* Different Vms must have different instances of a scaling object.
*
* A {@link Vm} runs a set of {@link Cloudlet}s. When a {@code VerticalVmScaling} object
* is attached to a {@link Vm}, it's required to define which
* {@link #getResourceClass() resource will be scaled} ({@link Ram}, {@link Bandwidth}, etc)
* when it's {@link #getLowerThresholdFunction() under} or
* {@link #getUpperThresholdFunction() overloaded}.
*
*
*
* The scaling request follows this path:
*
* - a {@link Vm} that has a {@link VerticalVmScaling} object set monitors its own
* resource usage using an {@link EventListener}, to check if an
* {@link #getLowerThresholdFunction() under} or
* {@link #getUpperThresholdFunction() overload} condition is met;
* - if any of these conditions is met, the Vm uses the VerticalVmScaling
* to send a scaling request to its {@link DatacenterBroker};
* - the DatacenterBroker forwards the request to the {@link Datacenter}
* where the Vm is hosted;
* - the Datacenter delegates the task to its {@link VmAllocationPolicy};
* - the VmAllocationPolicy checks if there is resource availability and then
* finally scale the Vm.
*
*
*
* WARNING
*
* Make sure that the {@link UtilizationModel} of some of these {@code Cloudlets}
* is defined as {@link Unit#ABSOLUTE ABSOLUTE}. Defining the {@code UtilizationModel}
* of all {@code Cloudlets} running inside the {@code Vm} as {@link Unit#PERCENTAGE PERCENTAGE}
* causes these {@code Cloudlets} to automatically increase/decrease their resource usage when the
* {@code Vm} resource is vertically scaled.
* This is not a CloudSim Plus issue, but the natural and maybe
* surprising effect that may trap researchers trying to implement and assess VM scaling policies.
*
* Consider the following example: a {@code VerticalVmScaling} is attached to
* a {@code Vm} to double its {@link Ram} when its usage reaches 50%.
* The {@code Vm} has 10GB of RAM.
* All {@code Cloudlets} running inside this {@code Vm} have a {@link UtilizationModel}
* for their RAM utilization define in {@link Unit#PERCENTAGE PERCENTAGE}.
* When the RAM utilization of all these
* {@code Cloudlets} reach the 50% (5GB), the {@code Vm} {@link Ram} will be doubled.
* However, as the RAM usage of the running {@code Cloudlets} is defined in percentage, they will
* continue to use 50% of {@code Vm}'s RAM, that now represents 10GB from the 20GB capacity.
* This way, the vertical scaling will have no real benefit.
*
* @author Manoel Campos da Silva Filho
* @since CloudSim Plus 1.1.0
*/
public interface VerticalVmScaling extends VmScaling {
/**
* An attribute that implements the Null Object Design Pattern for {@link VerticalVmScaling}
* objects.
*/
VerticalVmScaling NULL = new VerticalVmScalingNull();
/**
* Gets the class of Vm resource this scaling object will request up or down scaling.
* Such a class can be {@link Ram}.class, {@link Bandwidth}.class or {@link Pe}.class.
* @return
* @see #getResource()
*/
Class extends ResourceManageable> getResourceClass();
/**
* Gets the factor that will be used to scale a Vm resource up or down,
* whether such a resource is over or underloaded, according to the
* defined predicates.
*
* If the resource to scale is a {@link Pe}, this is the number of PEs
* to request adding or removing when the VM is over or underloaded, respectively.
* For any other kind of resource, this is a percentage value in scale from 0 to 1.
* Every time the VM needs to be scaled up or down, this factor will be applied
* to increase or reduce a specific VM allocated resource.
*
* @return the scaling factor to set which may be an absolute value (for {@link Pe} scaling)
* or percentage (for scaling other resources)
* @see #getUpperThresholdFunction()
*/
double getScalingFactor();
/**
* Sets the factor that will be used to scale a Vm resource up or down,
* whether such a resource is over or underloaded, according to the
* defined predicates.
*
* If the resource to scale is a {@link Pe}, this is the number of PEs
* to request adding or removing when the VM is over or underloaded, respectively.
* For any other kind of resource, this is a percentage value in scale from 0 to 1.
* Every time the VM needs to be scaled up or down, this factor will be applied
* to increase or reduce a specific VM allocated resource.
*
* @param scalingFactor the scaling factor to set which may be an absolute value
* (for {@link Pe} scaling) or percentage (for scaling other resources)
* @see #getUpperThresholdFunction()
*/
VerticalVmScaling setScalingFactor(double scalingFactor);
/**
* Gets the lower or upper resource utilization threshold {@link Function},
* depending if the Vm resource is under or overloaded, respectively.
*
* @return the lower resource utilization threshold function if the Vm resource
* is underloaded, upper resource utilization threshold function if the Vm resource
* is overloaded, or a function that always returns 0 if the Vm isn't in any of these conditions.
* @see #getLowerThresholdFunction()
* @see #getUpperThresholdFunction()
*/
Function getResourceUsageThresholdFunction();
/**
* Checks if the Vm is underloaded or not, based on the
* {@link #getLowerThresholdFunction()}.
* @return true if the Vm is underloaded, false otherwise
*/
boolean isVmUnderloaded();
/**
* Checks if the Vm is overloaded or not, based on the
* {@link #getUpperThresholdFunction()}.
* @return true if the Vm is overloaded, false otherwise
*/
boolean isVmOverloaded();
/**
* Gets the actual Vm {@link Resource} this scaling object is in charge of scaling.
* @return
*/
Resource getResource();
/**
* Gets the absolute amount of the Vm resource which has to be
* scaled up or down, based on the {@link #getScalingFactor() scaling factor}.
*
* @return the absolute amount of the Vm resource to scale
* @see #getResourceClass()
*/
double getResourceAmountToScale();
/**
* Performs the vertical scale if the Vm is overloaded, according to the
* {@link #getUpperThresholdFunction()} predicate,
* increasing the Vm resource to which the scaling object is linked to
* (that may be RAM, CPU, BW, etc.), by the factor defined a scaling factor.
*
* The time interval in which it will be checked if the Vm is overloaded
* depends on the {@link Datacenter#getSchedulingInterval()} value.
* Make sure to set such a value to enable the periodic overload verification.
*
* @param evt current simulation time
* @see #getScalingFactor()
*/
@Override
boolean requestUpScalingIfPredicateMatches(VmHostEventInfo evt);
/**
* Gets a {@link Function} that defines the upper utilization threshold for a {@link #getVm() Vm}
* which indicates if it is overloaded or not.
* If it is overloaded, the Vm's {@link DatacenterBroker} will request to up scale the VM.
* The up scaling is performed by increasing the amount of the {@link #getResourceClass() resource}
* the scaling is associated to.
*
* This function must receive a {@link Vm} and return the upper utilization threshold
* for it as a percentage value between 0 and 1 (where 1 is 100%).
* The VM will be defined as overloaded if the utilization of the {@link Resource}
* this scaling object is related to is higher than the value returned by the {@link Function}
* returned by this method.
*
* @return
* @see #setUpperThresholdFunction(Function)
*/
Function getUpperThresholdFunction();
/**
* Sets a {@link Function} that defines the upper utilization threshold for a {@link #getVm() Vm}
* which indicates if it is overloaded or not.
* If it is overloaded, the Vm's {@link DatacenterBroker} will request to up scale the VM.
* The up scaling is performed by increasing the amount of the
* {@link #getResourceClass() resource} the scaling is associated to.
*
* This function must receive a {@link Vm} and return the upper utilization threshold
* for it as a percentage value between 0 and 1 (where 1 is 100%).
*
* By setting the upper threshold as a {@link Function} instead of a directly
* storing a {@link Double} value which represent the threshold, it is possible
* to define the threshold dynamically instead of using a static value.
* Furthermore, the threshold function can be reused for scaling objects of
* different VMs.
*
* @param upperThresholdFunction the upper utilization threshold function to set.
* The VM will be defined as overloaded if the utilization of the {@link Resource}
* this scaling object is related to is higher than the value returned by this {@link Function}.
* @return
*/
VerticalVmScaling setUpperThresholdFunction(Function upperThresholdFunction);
/**
* Gets a {@link Function} that defines the lower utilization threshold for a {@link #getVm() Vm}
* which indicates if it is underloaded or not.
* If it is underloaded, the Vm's {@link DatacenterBroker} will request to down scale the VM.
* The down scaling is performed by decreasing the amount of the
* {@link #getResourceClass() resource} the scaling is associated to.
*
* This function must receive a {@link Vm} and return the lower utilization threshold
* for it as a percentage value between 0 and 1 (where 1 is 100%).
*
* The VM will be defined as underloaded if the utilization of the {@link Resource}
* this scaling object is related to is lower than the value returned by the {@link Function}
* returned by this method.
*
* @return
* @see #setLowerThresholdFunction(Function)
*/
Function getLowerThresholdFunction();
/**
* Sets a {@link Function} that defines the lower utilization threshold for a {@link #getVm() Vm}
* which indicates if it is underloaded or not.
* If it is underloaded, the Vm's {@link DatacenterBroker} will request to down scale the VM.
* The down scaling is performed by decreasing the amount of the
* {@link #getResourceClass() resource} the scaling is associated to.
*
* This function must receive a {@link Vm} and return the lower utilization threshold
* for it as a percentage value between 0 and 1 (where 1 is 100%).
*
* By setting the lower threshold as a {@link Function} instead of a directly
* storing a {@link Double} value which represent the threshold, it is possible
* to define the threshold dynamically instead of using a static value.
* Furthermore, the threshold function can be reused for scaling objects of
* different VMs.
*
* @param lowerThresholdFunction the lower utilization threshold function to set.
* The VM will be defined as underloaded if the utilization of the {@link Resource}
* this scaling object is related to is lower than the value returned by this {@link Function}.
* @return
*/
VerticalVmScaling setLowerThresholdFunction(Function lowerThresholdFunction);
/**
* Sets the {@link ResourceScaling} that defines how the resource has to be resized.
* @param resourceScaling the {@link ResourceScaling} to set
* @return
*/
VerticalVmScaling setResourceScaling(ResourceScaling resourceScaling);
/**
* Gets the current amount allocated to the {@link #getResource() resource}
* managed by this scaling object.
* It is just a shortcut to {@code getVmResourceToScale.getAllocatedResource()}.
* @return the amount of allocated resource
*/
long getAllocatedResource();
/**
* Tries to allocate more resources for a VM,
* if there is availability.
* @return
*/
boolean allocateResourceForVm();
void logResourceUnavailable();
}