IMPORTANT TOPICS IN CLOUD COMPUTING

Important Topics in Cloud Computing to develop a dissertation are shared below. Generally dissertation topics  must be chosen on the basis of necessities, available resources, and individual expertise. But dint worry we at ns3-code.com have all the basic necessities to guide you back, send us a message and we will give you ultimate guidance. By involving different subfields in cloud computing, we recommend a few dissertation topics which are latest as well as significant:

  1. Cloud Security and Privacy
  • Outline: In cloud platforms, the security and confidentiality problems have to be solved. It is important to encompass threat reduction, access control, and data security.
  • Topics:
  • Privacy-preserving algorithms for cloud data analytics.
  • Blockchain-related solutions for improving cloud security.
  • Advanced encryption methods for safer cloud storage.
  • Intrusion detection and prevention systems for cloud networks.
  1. Resource Management and Optimization
  • Outline: Focus on cloud resource allocation and handling, and enhance its effectiveness and functionality.
  • Topics:
  • Energy-effective resource management policies in data centers.
  • AI-based techniques for predictive resource handling.
  • Dynamic resource allocation algorithms for cloud computing.
  • Cost optimization methods for cloud resource provisioning.
  1. Cloud-Based Big Data and Analytics
  • Outline: For big data processing and analytics, we plan to utilize cloud infrastructure.
  • Topics:
  • Actual-time data analytics with cloud-related environments.
  • Comparative study of big data processing tools in cloud computing.
  • Adaptable data processing frameworks for cloud platforms.
  • Machine learning model implementation and handling in the cloud.
  1. Edge and Fog Computing Integration
  • Outline: To enhance functionality and minimize latency, the edge and fog computing incorporation with cloud frameworks must be investigated.
  • Topics:
  • Resource handling in edge-fog-cloud platforms.
  • Application areas of edge computing in smart cities and IoT.
  • Frameworks for consistent edge-to-cloud data processing.
  • Security issues and solutions in edge computing.
  1. Serverless Computing (Function as a Service – FaaS)
  • Outline: For serverless frameworks, the optimization methods, advantages, and issues have to be explored.
  • Topics:
  • Cost-benefit analysis of serverless vs. conventional cloud computing.
  • Case studies of serverless computing in actual-world applications.
  • Performance assessment of serverless computing environments.
  • Security impacts and ideal approaches for serverless applications.
  1. Cloud Migration Strategies
  • Outline: To transfer data and applications to the cloud in an effective manner, tools and policies should be created.
  • Topics:
  • Tools and frameworks for automated cloud migration.
  • Case studies of efficient cloud migration projects.
  • Ideal approaches for cloud migration: A comparative analysis.
  • Problems and solutions in transferring legacy frameworks to the cloud.
  1. Disaster Recovery and Business Continuity in Cloud
  • Outline: In the case of disasters or failures, we focus on assuring service accessibility and data morality.
  • Topics:
  • Assessing the efficiency of cloud-related backup policies.
  • Risk evaluation and handling in cloud disaster recovery.
  • Automated disaster recovery approaches for cloud platforms.
  • Modeling strong cloud architectures for business endurance.
  1. Cloud Networking and Software-Defined Networking (SDN)
  • Outline: By means of SDN and other networking mechanisms, the cloud networking abilities must be improved.
  • Topics:
  • Security issues and solutions in SDN-based cloud platforms.
  • Scalability and credibility of SDN in extensive cloud placements.
  • Performance enhancement of cloud networks with SDN.
  • Network function virtualization (NFV) in cloud computing.
  1. AI and Machine Learning in Cloud Computing
  • Outline: As a means to enhance cloud infrastructure and services, the AI and ML approaches have to be implemented.
  • Topics:
  • Predictive maintenance of cloud framework with machine learning.
  • Case studies of ML and AI applications in cloud platforms.
  • AI-based cloud resource handling and enhancement.
  • Improving cloud security using AI-related threat detection.
  1. Green Cloud Computing
  • Outline: Using sustainable mechanisms and energy-effective approaches, the ecological effect of cloud computing has to be minimized.
  • Topics:
  • Ecofriendly cloud computing approaches and their effect.
  • Comparative study of green cloud computing frameworks.
  • Energy-effective data center structure and management.
  • Carbon footprint minimization policies in cloud computing.
  1. Federated Learning and Privacy-Preserving AI
  • Outline: For AI frameworks in cloud platforms, we intend to investigate privacy-preserving methods and federated learning.
  • Topics:
  • Privacy-preserving machine learning algorithms for cloud platforms.
  • Security and confidentiality issues in federated learning.
  • Federated learning frameworks for collaborative AI model training.
  • Applications and use cases of federated learning in finance and healthcare.
  1. Hybrid and Multi-Cloud Strategies
  • Outline: To enhance adaptability and functionality, the hybrid and multi-cloud platforms should be handled and improved.
  • Topics:
  • Data interoperability and portability in hybrid cloud platforms.
  • Security and compliance issues in hybrid and multi-cloud configurations.
  • Multi-cloud management environments and their efficiency.
  • Cost management policies for multi-cloud placements.

How to install CloudSim in netbeans?

The process of installing CloudSim in NetBeans involves several important procedures that should be carried out in a proper manner. As a means to conduct this process, we provide an in-depth procedural instruction:

Step 1: Install NetBeans IDE

  1. Download NetBeans: The current version of NetBeans IDE must be downloaded by visiting the NetBeans download page.
  2. Install NetBeans: Relevant to our operating system, we have to adhere to the installation guidelines.

Step 2: Install Java Development Kit (JDK)

  1. Download JDK: Download the JDK from the AdoptOpenJDK or Oracle JDK download page.
  2. Install JDK: Related to our operating system, the installation guidelines have to be followed.
  3. Set up NetBeans to utilize JDK:
  • The NetBeans should be opened.
  • Select Tools -> Java Platforms.
  • Choose the JDK installation directory after clicking Add Platform. Then, we should select Next and Finish.

Step 3: Download and Extract CloudSim

  1. Download CloudSim: In order to download the current version of CloudSim, go to the CloudSim GitHub repository.
  2. Extract CloudSim: To the particular directory, the downloaded ZIP file should be extracted.

Step 4: Build a New Project in NetBeans

  1. Build a New Java Project:
  • To develop a new Java project, we need to open NetBeans.
  • Click on File -> New Project.
  • Choose Java -> Java Application. Then, select Next.
  • For our project, offer a particular name (for instance: CloudSimExample). After that, choose Finish.

Step 5: Include CloudSim Libraries to Our Project

  1. Append External JARs:
  • In the Projects window, we have to right-click on our project.
  • Focus on choosing Properties.
  • Click on Libraries -> Add JAR/Folder.
  • The directory has to be visited, in which the CloudSim is extracted. Choose all JAR files by opening the jars folder.
  • We should select Open. Then, click OK.

Step 6: Develop a New Java Class for CloudSim Instance

  1. Develop a New Class:
  • In our project, the Source Packages folder must be right-clicked.
  • Choose New -> Java Class.
  • For our class, a name has to be offered (for instance: CloudSimExample). After that, select Finish.

Step 7: Write CloudSim Sample Code

  1. Sample Code: Within our recently developed class, we need to copy and paste the subsequent example code. By 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 8: Execute the CloudSim Instance

  1. Execute the Project:
  • In the Projects window, we have to right-click on the CloudSimExample class.
  • Then, choose Run File.
  • By presenting the simulated cloudlet execution aspects, the NetBeans Output window will exhibit the result.

Related to the cloud computing domain, we listed out numerous compelling topics, including brief outlines. To install CloudSim in NetBeans, a complete instruction is offered by us, which can support you in an appropriate way.

Important Dissertation Topics in Cloud Computing

Important Dissertation Topics in Cloud Computing that suits best for exploration are given below, we have worked on all these topics. We provide high class  Cloud Computing thesis writing services , drop us a message we will guide you more.

  1. Energy Efficient Algorithms based on VM Consolidation for Cloud Computing: Comparisons and Evaluations
  2. Application strategy of big data and cloud computing in the Internet of things
  3. Spider Monkey Optimization based Resource Provisioning in Cloud Computing Environment
  4. Ant Colony System for Efficient Virtual Machine Placement in Cloud Computing
  5. Performance problems diagnosis in cloud computing systems by mining request trace logs
  6. A nucleic filter to enhance the security in cloud computing environment
  7. A procedure to achieve cost and performance optimization for recovery in cloud computing
  8. A Big Data and Deep Learning based Approach for DDoS Detection in Cloud Computing Environment
  9. An Efficient Identity-Based Encryption With Equality Test in Cloud Computing
  10. Energy Efficient Mobile Cloud Computing Powered by Wireless Energy Transfer
  11. Resource Sharing of a Computing Access Point for Multi-User Mobile Cloud Offloading with Delay Constraints
  12. A Reinforcement Learning-Based Mixed Job Scheduler Scheme for Cloud Computing under SLA Constraint
  13. Trusted platform for support services in cloud computing environment
  14. Partition-based data cube storage and parallel queries for cloud computing
  15. Secure and Efficient Privacy-Preserving Ciphertext Retrieval in Connected Vehicular Cloud Computing
  16. Effective Detection and Prevention of DDoS in Cloud Computing Environment
  17. Energy-Efficient Dynamic Computation Offloading and Cooperative Task Scheduling in Mobile Cloud Computing
  18. Demand management of electric vehicle charging based on a cloud computing framework
  19. Cache Aware Task Scheduling Algorithm for Heterogeneous Cloud Computing Environment
  20. Framework for Context-Aware Computation Offloading in Mobile Cloud Computing

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