Cloudsim in Cloud Computing

Cloud Computing address the online on-demand information technology resources, services, applications, software for users. These services are common to all individuals and enterprises for their requirements.

This article is about the Cloud Computing Research Areas with the Primary Simulation Tools!!!

What is CloudSim in Cloud Computing?

CloudSim comprises huge volume of libraries for simulating the cloud based computing systems. It offers necessary classes for creating users, applications, virtual machines, data centers, computational resources and policies for controlling the different parts of the system as provisioning and scheduling.

The challenging issues in cloud computing is the frequent performance assessment of resources, workloads and other provisioning polices in regardless of unpredictable user needs, system set-ups and network configurations.

Cloudsim plays a key player role to tackle this issue by modeling and simulating cloud environs through unique generic application provisioning approach. At present, it supports both inter-networked (federation) and single cloud(s) to analyze the behavior of deployed cloud components. In overall, Cloudsim is cloud simulation toolkit to satisfy the cloud user requirements. Here, we have included the benefits of using Cloudsim for testing the system performance.

Advantages of Cloudsim

• Flexibility and Applicability – In different cloud environments, it is simple to design and verify the overall applications / services performance.
  • For instance: MS Azure, Amazon EC2 and many more
• Time Effectiveness – Designing the cloud application with test platform will consume minimum time and effort

Let’s talk over more detailed information of Cloudsim in Cloud Computing. Basically, Cloudsim has specific functionalities to perform the better cloud simulation. Just to let you know our developer have listed some fundamental operations of cloudsim. This toolkit allows to:

• Do frequent test on developed system / application in the monitoring environment
• Deploy the application in real cloud after identifying the performance bottlenecks
• Design the application distribution approaches by conducting more number of test on various resources and workload setups
• Model and Simulate the following things,
  • Federated Cloud
  • Custom Based Virtualized Server Hosts
  • Broad-Size Cloud Data Centers And Network Structure
  • Message-Passing Paradigms
  • Application Containers
  • Energy-Aware Computational Resources
• Dynamically insert entities and resume / stop  simulation
• Allocate both host and host resources to VM based on user-defined policies

How cloudsim work?

As we mentioned earlier, cloudsim let the user to design and imitate the cloud system entities. So, one should have more knowledge on modeling cloud simulation using Python Cloud Computing projects. For that, you have to know the classes with its supportive functionalities. For your information, we have listed some main classes.

• To simulate the workloads
  • org.cloudbus.cloudsim -> “Cloudlet.java”
• To simulate the regions and datacenters
  • org.cloudbus.cloudsim -> “Datacenter.java”
• To simulate the task offloading and policy-related services
  • org.cloudbus.cloudsim -> “VmAllocationPolicy.java”, “CloudletScheduler.java”, “DatacenterBroker.java”, etc
• Similarly, discrete event simulation engine is used to collect the workloads from heterogeneous hardware 

We have sufficient knowledge filled resource team to support you in both research and development. Here, our research team has given you some list of research ideas which is framed based on the current scholar’s research perspective.

Research Topics in Cloud Computing

• Optimization Approaches for Network End-to-End Delay
• Resource and Multi-Task Offloading
• Optimal VM Distribution and Deployment Policies
• Cloud Workflow Observation and Execution
• Cloud VM Deployment and Management
• QoS Negotiation in Real-Time Applications
• Migration-less Adaptive Task Scheduling
• Cloud Service Utilization Billing, Accounting and Metering
• SLA based Admission Control and Management
• Energy-aware Dynamic VM Consolidations and Migrations

One of the interesting factors in Cloudsim is its supporting algorithms. Depending on the functionalities, it supports several approaches and algorithms and some of them are classified below for your references.

Supported CloudSim Algorithms

• VM Management Algorithms
  • Maximum Correlation Coefficient Approach
  • Random Choice / Sample Technique
  • Average Mean / Median Absolute Deviations Method
  • Time Policy based  Minimum Migration Strategy
  • Soft Actor Critic (SAC) Reinforcement Learning Algorithm
• VM Load Balancing Algorithms
  • Recurrent Neural Networks (RNN)
  • Logistic and Linear Regression
  • Convolutional Neural Networks (CNN)
  • Naïve Bayes  and SVM Algorithm
  • Fuzzy Wavelet Neural Network Theory
  • Neural Networks and Deep Learning Algorithms
  • Quality based Dynamic Service Broker Chaining
  • Random Forest and Decision Tree Algorithm
  • Waltz Filtering / Labeling Algorithm – Constraint Satisfaction
  • Cluster Analysis (For instances: K-Means, EM, Gaussian distributions)
• Added Approaches and Algorithms
  • Queen Bee Inspired Algorithm
  • Morpho Graph Algorithm
  • Fuzzy-Neuro Prediction Algorithm
  • Cooperative Game Theory Approach
  • Honey Bee Optimization Algorithm
  • Artificial Ant Colony Optimization Algorithm

Next, we can see about the software requirements for simulating the cloud computing project in Cloudsim. Under these requirements, we can model and simulate any kind of cloud applications.

Requirements for CloudSim Projects

• Integrated Development Environment (IDE)
  • Java Development Kit (JDK)
  • Eclipse/NetBeans IDE
• Operating System (OS)
  • Windows Vista (32 or 64 bit)
  • Windows 7 (32 or 64 bit)
  • Windows 8 and 10 (32 or 64 bit)
  • Windows XP (32 bit)
  • Mac OS X 10.5.8 or later (32 bit only)
  • Linux (Lucid Lynx and Ubuntu Linux)

When you figure out your execution steps of your proposed topic and understand the fundamentals of Clousim, the nest process is implementing the customized scenario.  Here, we have listed the basic workflow of all kinds of cloud computing projects.

How to run Cloudsim Simulation Scenario?

• Set both CloudSim and CloudInformationService element with the present watch time
• Construct required number of Datacenter(s) as resource suppliers and any one to begin simulation.
• Construct Broker for scheduling the task, allocating the VM and deploying the VM.
• Construct one or more VM and allocate to the broker. Next further submit to the corresponding DataCenters
• Create one or more Cloudlet and add them to the cloudlet list and broker for next task scheduling process on VMs. Then, it starts processing in the time of simulation
• Starts simulation to initiate all the deployed entities to perform their tasks
• Stop simulation to terminate all the entities prior to end the simulation
• Once the simulation is completed then pint the generated outcome. It clearly shows the cloudlet execution time in VM with start and finish time
• For more detailed explanation follow the “Guide to CloudsimExample1.java simulation workflow“ article

The first and foremost version of Cloud computing simulator is Cloudsim 3.x.x which turn out to be the foundation for several other extensions. And some of them are given as follows,

Other Simulators based on Cloudsim

• CloudReports
• CloudSimEx
• iFogSim
• EdgeCloudSim
• CloudAnalyst
• WorkflowSim
• Cloudsim Plus

In the beginning, the CloudSim act as a stand-alone cloud simulator which is globally used in everywhere. Later, so many independent scholars have added some significant features into it. As a result, Cloudsim is now extended in many ways as follow, 

What are the Cloudsim Extensions?

• CloudReports – Generates GUI based report of Simulation
• ThermoSim – Empowers Learning assisted Cloud Nodes Temperature Prediction using Thermal characteristics
• Cloud2Sim – Supports Open source Hazelcast Java framework for Multi-server distributed system
• RECAP DES – Enables Synchronous Design of Hierarchical Model Architectures
  • For instance: ElasticSearch
• CloudSimEx – Includes Parallel and MapReduce Simulation

CloudSim Extension Tools

• Cloud2Sim
• Dynamic CloudSim
• CloudAnalyst
• CloudReports
• CLoudAuction
• CloudMIG Xpress
• CloudSim Automation
• CloudSimEx
• iFogSim
• RedCloudSim
• WorkflowSim
• And also FederatedCloudSim

Further, if you want more information on Cloudsim in Cloud Computing then contact our team, we are ready to assist you in both college research paper and code implementation phase. Also, we will support you in manuscript writing and publication with an assurance of fast paper acceptance.