Cloud Based Projects for CSE

Cloud Based Projects Topics for CSE with their explanation, Structures and technologies use are discussed in this page. We will your go to option to complete your research as we are a huge team of experts who provide you with tailored solution. As a means to develop a project in cloud computing, a suitable topic or idea must be selected based on individual knowledge, requirements, and available resources. Appropriate for CSE students, we suggest some cloud-related project plans that are significant as well as innovative:

  1. Cloud-Based To-Do List Application
  • Explanation: To allow users to develop, handle, and distribute to-do lists, a basic cloud-related application should be created.
  • Characteristics: Alerts, distributing missions with other users, CRUD processes for missions, and user authentication.
  • Mechanisms: MongoDB, Node.js, React, Firebase, and AWS Amplify.
  1. Online Code Editor
  • Explanation: In several programming languages, enable users to write, compile, and execute code by developing a web-related code editor.
  • Characteristics: Code saving, actual-time collaboration, several language support, and syntax importance.
  • Mechanisms: Monaco Editor, WebSocket, React, Docker, Azure Functions, and AWS Lambda.
  1. Cloud-Based Blogging Platform
  • Explanation: A blogging environment has to be created, in which the blog posts can be designed, published, and distributed by users.
  • Characteristics: Search performance, commenting framework, tagging, WYSIWYG editor, and user authentication.
  • Mechanisms: MongoDB, Node.js, React, Google Firebase, and AWS Amplify.
  1. Real-Time Chat Application
  • Explanation: Including user authentication and actual-time messaging, we intend to create an adaptable chat application.
  • Characteristics: Alerts, file exchange, message history, and private and group chats.
  • Mechanisms: Node.js, Express, React, WebSocket, AWS AppSync, and Firebase Realtime Database.
  1. Cloud-Based E-Commerce Platform
  • Explanation: Encompassing cloud-based backend services, an e-commerce website must be developed.
  • Characteristics: Order tracking, payment incorporation, shopping cart, product listing, and user authentication.
  • Mechanisms: Stripe API for payments, Express, Node.js, React, and Azure, AWS, or Google Cloud for hosting.
  1. IoT-Based Smart Home System
  • Explanation: To regulate and track home devices, a cloud-related smart home framework should be created.
  • Characteristics: Alerts, automation principles, actual-time tracking, and device handling.
  • Mechanisms: React Native, MQTT, Google Cloud IoT Core, Azure IoT Hub, and AWS IoT Core.
  1. Personal Finance Management App
  • Explanation: In order to assist users to handle their finances, a robust application has to be created. It should help to make budgets and monitor expenses.
  • Characteristics: Analytics dashboard, financial objectives, budget development, and expense classification.
  • Mechanisms: Node.js, React Native, Google Firestore, Azure SQL Database, and AWS RDS.
  1. Cloud-Based Learning Management System (LMS)
  • Explanation: For handling academic courses through online, we plan to develop an environment.
  • Characteristics: Student registration, course handling, discussion forums, video lectures, and quizzes.
  • Mechanisms: Moodle integration, MongoDB, Node.js, React, and Azure, AWS, or Google Cloud for hosting.
  1. Remote Health Monitoring System
  • Explanation: To track patient health in a remote way, a framework must be created with cloud services and IoT devices.
  • Characteristics: Patient and doctor portals, data analytics, alerts, and actual-time health data gathering.
  • Mechanisms: Node.js, React Native, Google Cloud IoT, Azure IoT Hub, and AWS IoT Core.
  1. Online Voting System
  • Explanation: Focus on developing an online voting environment in an adaptable and safer manner.
  • Characteristics: Actual-time vote counting, vote casting, outcome display, and voter authentication.
  • Mechanisms: Node.js, React, Azure, AWS, or Google Cloud for hosting, and blockchain for protection.
  1. Cloud-Based Inventory Management System
  • Explanation: Among several locations, handle inventory in actual-time by creating an efficient framework.
  • Characteristics: Analytics dashboard, supplier management, order handling, and stock monitoring.
  • Mechanisms: Node.js, React, Google Firestore, Azure Cosmos DB, and AWS DynamoDB.
  1. Weather Monitoring and Forecasting System
  • Explanation: To track and predict weather states, we aim to develop a cloud-related application.
  • Characteristics: Alerts, prediction, historical data analysis, and actual-time weather data gathering.
  • Mechanisms: OpenWeatherMap API, Node.js, React, and Azure, AWS, or Google Cloud for hosting.
  1. Cloud-Based CRM System
  • Explanation: As a means to handle communications with possible clients and consumers, a Customer Relationship Management framework should be created.
  • Characteristics: Reporting, mission handling, sales pipeline tracking, and contact handling.
  • Mechanisms: MongoDB, Node.js, React, and Azure, AWS, or Google Cloud for hosting.
  1. Cloud-Powered DevOps Pipeline
  • Explanation: To automate the placement of applications, a CI/CD (continuous integration/continuous deployment) pipeline has to be configured in the cloud.
  • Characteristics: Automated development, tracking, placement, and testing.
  • Mechanisms: GitHub Actions, Kubernetes, Docker, Jenkins, Azure DevOps, and AWS CodePipeline.
  1. Blockchain-Based Cloud Storage
  • Explanation: Through the utilization of blockchain mechanism, a decentralized cloud storage approach should be applied.
  • Characteristics: Smart contracts for storage agreements, encryption, distributed ledger, and safer file storage.
  • Mechanisms: Node.js, React, Solidity, IPFS, and Ethereum.

How to run a simple Java program in Eclipse using CloudSim?

Executing a Java program in Eclipse is both an intriguing and challenging process that should be conducted by adhering to several guidelines. To execute a basic Java program in Eclipse with CloudSim, we offer a procedural instruction in an explicit manner:

Step 1: Install Eclipse

  1. Download Eclipse: The Eclipse IDE for Java Developers has to be downloaded by visiting the Eclipse downloads page.
  2. Install Eclipse: Appropriate to our operating system, we should adhere to the installation guidelines.

Step 2: Configure CloudSim

  1. Download CloudSim: Focus on downloading the current version from the CloudSim GitHub repository.
  2. Extract CloudSim: To the specific directory, the downloaded ZIP file must be extracted.

Step 3: Develop a New Java Project in Eclipse

  1. Open Eclipse: The Eclipse IDE should be opened.
  2. Develop a New Project:
  • Click File -> New -> Java Project.
  • For our project, we have to specify a name (for instance: CloudSimExample).
  • Select Finish.

Step 4: Append CloudSim Libraries to Our Project

  1. Include External JARs:
  • In the Project Explorer, we should right-click on our project and choose Properties.
  • Click on Java Build Path -> Libraries -> Add External JARs.
  • The directory has to be accessed, in which the CloudSim is extracted. Choose all the JAR files by opening the jars folder.
  • Select Open. After that, we need to click Apply and Close.

Step 5: Write a Basic CloudSim Program

  1. Develop a New Class:
  • In our project, right-click on the src folder. Then, choose New -> Class.
  • For our class, offer a particular name (for instance: CloudSimExample).
  • At last, select Finish.
  1. Write the Code:
  • Within our new class, the below specified example code must be copied and pasted. Including one cloudlet, one VM, one host, and one data center, a simple CloudSim simulation is configured in this code.

import org.cloudbus.cloudsim.allocationpolicies.VmAllocationPolicySimple;

import org.cloudbus.cloudsim.brokers.DatacenterBrokerSimple;

import org.cloudbus.cloudsim.cloudlets.Cloudlet;

import org.cloudbus.cloudsim.cloudlets.CloudletSimple;

import org.cloudbus.cloudsim.core.CloudSim;

import org.cloudbus.cloudsim.datacenters.Datacenter;

import org.cloudbus.cloudsim.datacenters.DatacenterSimple;

import org.cloudbus.cloudsim.hosts.Host;

import org.cloudbus.cloudsim.hosts.HostSimple;

import org.cloudbus.cloudsim.resources.Pe;

import org.cloudbus.cloudsim.resources.PeSimple;

import org.cloudbus.cloudsim.vms.Vm;

import org.cloudbus.cloudsim.vms.VmSimple;

import org.cloudsimplus.builders.tables.CloudletsTableBuilder;

import java.util.ArrayList;

import java.util.List;

public class CloudSimExample {

public static void main(String[] args) {

// Initialize the CloudSim library

CloudSim simulation = new CloudSim();

// Create a data center

Datacenter datacenter = createDatacenter(simulation);

// Create a broker

DatacenterBrokerSimple broker = new DatacenterBrokerSimple(simulation);

// Create a VM

Vm vm = new VmSimple(1000, 2); // 1000 MIPS, 2 PEs

vm.setRam(2048).setBw(1000).setSize(10000); // 2 GB RAM, 1 GB BW, 10 GB Storage

// Create a cloudlet

Cloudlet cloudlet = new CloudletSimple(10000, 2); // 10,000 MI, 2 PEs

cloudlet.setFileSize(300).setOutputSize(300); // 300 KB File and Output Size

// Submit VM and Cloudlet to broker

broker.submitVm(vm);

broker.submitCloudlet(cloudlet);

// Start the simulation

simulation.start();

// Print results

new CloudletsTableBuilder(broker.getCloudletFinishedList()).build();

}

private static Datacenter createDatacenter(CloudSim simulation) {

// Create a list of processing elements (PEs)

List<Pe> peList = new ArrayList<>();

peList.add(new PeSimple(1000)); // 1000 MIPS per PE

// Create a host

Host host = new HostSimple(2048, 10000, 1000000, peList); // RAM, BW, Storage

host.setVmScheduler(new org.cloudbus.cloudsim.schedulers.vm.VmSchedulerTimeShared());

// Create a list of hosts

List<Host> hostList = new ArrayList<>();

hostList.add(host);

// Create and return a data center

return new DatacenterSimple(simulation, hostList, new VmAllocationPolicySimple());

}

}

Step 6: Execute the Program

  1. Execute the Program:
  • In the Project Explorer, we have to right-click on our CloudSimExample class.
  • Then, choose Run As -> Java Application.
  1. Observe Output:
  • By demonstrating the factors of the simulated cloudlet implementation, the Eclipse Console exhibits the result.

Related to the domain of cloud computing, we listed out numerous project plans, including concise explanations, characteristics, and mechanisms. For supporting you to execute a basic Java Program, a detailed instruction is provided by us, along with a sample code.

Cloud Based Thesis for CSE

Cloud Based Thesis for CSE which is very approachable topic for researchers are listed below, we are ready to work on all these topics as well are your own proposed topic. Our world class researchers will give you step by step guidance for your work.

  1. Energy-conscious resource scheduling in cloud computing environment: A pragmatic view
  2. Cost and deadline optimization along with resource allocation in cloud computing environment
  3. Research and Evaluation of Network Virtualization in Cloud Computing Environment
  4. Optimal Min-Communication and Migration Cost Algorithm based Approach for Efficient Task Migration in Cloud Computing
  5. An efficient energy saving task consolidation algorithm for cloud computing systems
  6. Secured and Structured Data Storing and Retrieval in Cloud Computing by using TPA
  7. Improving Cloud Computing Virtual Machines Balancing through Hosts and Virtual Machines Similarities
  8. Load balancing task scheduling based on Multi-Population Genetic Algorithm in cloud computing
  9. A Resource Auction Based Allocation Mechanism in the Cloud Computing Environment
  10. Optimizing resource allocation for elastic security VNFs in the SDNFV-enabled cloud computing
  11. Low Error Rate Based Secure Sharing of Personal Health Record in Cloud Computing Using DWT Steganography
  12. Performance Comparison of Cloud Computing/IoT Virtualization Software, Hyper-V vs vSphere
  13. Distributed Collection Method of Economic Growth Data Based on Cloud Computing
  14. A dynamic self-adaptive resource-load evaluation method in cloud computing
  15. Cloud Computing Placement Optimization Under Ubiquitous Power Internet of Things Background
  16. Face Mask and Helmet Facial Detection for ATM Security Using Image Processing in Cloud Computing
  17. Cloud Computing Landscape and Research Challenges Regarding Trust and Reputation
  18. An Efficient and Scalable Framework for Processing Remotely Sensed Big Data in Cloud Computing Environments
  19. Decision makers views of factors affecting cloud computing adoption in saudi healthcare organisations
  20. Towards Green Cloud Computing: Demand Allocation and Pricing Policies for Cloud Service Brokerage