Topics Under Cloud Computing

Topics Under Cloud Computing in which you can rely us for all services are shared below, we will your one stop solution to get your research done.  Cloud computing is considered as a fast-growing domain which offers a wide range of opportunities to carry out research and develop projects. Related to cloud computing, we list out numerous topics which are more suitable for a literature survey. To conduct exploration, some major areas are also suggested by us:

1. Cloud Security and Privacy

Major Areas:

• Data Encryption: At the time of processing, transmission, and inactive states, the data has to be encrypted by means of efficient methods.
• Access Control: For assuring that cloud resources can be accessed only by legal users, we plan to explore techniques.
• Threat Detection: In cloud platforms, security hazards have to be detected and reduced through the use of tools and methods.
• Privacy Preservation: Specifically in multi-tenant cloud platforms, secure user confidentiality with the aid of methods.

2. Cloud Storage Solutions

Major Areas:

• Data Redundancy and Replication: For assuring data availability and endurance, focus on ideal methods.
• Data Deduplication: By removing duplicate data, minimize storage needs with the support of techniques.
• Performance Optimization: For enhancing the cloud storage frameworks’ effectiveness and speed, we intend to employ policies.
• Comparative Analysis: Various cloud storage solutions have to be compared. It could encompass Azure Blob Storage, Google Cloud Storage, and Amazon S3.

3. Cloud Resource Management

Major Areas:

• Dynamic Resource Allocation: In terms of requirements, allocate resources in a dynamic manner by means of approaches.
• Load Balancing: To improve functionality, plan to share workloads among several servers through utilizing policies.
• Auto-scaling: On the basis of workload, scale resources up or down in an automatic way using techniques.
• Energy Efficiency: For minimizing the cloud data centers’ energy usage, concentrate on suitable approaches.

4. Cloud-Based Big Data Analytics

Major Areas:

• Big Data Processing Frameworks: In cloud platforms, we aim to assess different frameworks such as Flink, Spark, and Hadoop.
• Real-Time Data Analytics: For actual-time processing and analysis of data, consider efficient methods.
• Data Warehousing: Along with functionality, the cloud-related data warehousing solutions must be explored.
• Use Cases: In diverse industries, examine the use of cloud-related big data analytics.

5. Serverless Computing

Major Areas:

• Architecture: Including major elements, the serverless computing framework has to be interpreted.
• Platforms: For serverless platforms, conduct the comparative analysis process. It could involve Azure Functions, Google Cloud Functions, and AWS Lambda.
• Performance: Focus on serverless applications, and assess their scalability and functionality.
• Use Cases: In various fields, consider the serverless computing’s uses and advantages.

6. Edge and Fog Computing

Major Areas:

• Integration with Cloud: Plan to investigate how cloud computing can be accompanied by edge and fog computing.
• Resource Management: In edge and fog computing frameworks, handle resources by means of robust methods.
• Security and Privacy: For protecting fog and edge computing frameworks, we focus on problems and potential solutions.
• Use Cases: In fields such as smart cities and IoT, examine the practical applications of fog and edge computing.

7. Cloud Computing Architectures

Major Areas:

• Public, Private, and Hybrid Clouds: Concentrate on these cloud varieties, and explore their advantages, problems, and variations.
• Microservices Architecture: In cloud platforms, consider employing microservices and examine its advantages and issues.
• Containerization: Particularly in cloud computing, investigate the application of orchestration tools (for instance: Kubernetes) and containers (for instance: Docker).
• Service Models: Along with relevant application areas, the service models such as SaaS, PaaS, and IaaS have to be interpreted.

8. Cloud Performance and Optimization

Major Areas:

• Performance Metrics: For assessing cloud functionality, focus on major metrics.
• Benchmarking: To evaluate cloud services, consider tools and approaches.
• Optimization Techniques: For improving the cloud applications’ functionality, examine efficient policies.
• Case Studies: In cloud computing, explore the practical instances of performance optimization.

9. Cloud Economics and Pricing Models

Major Areas:

• Cost Models: For cloud service providers, investigate various pricing models.
• Cost Optimization: Specifically for refining cloud costs, we plan to employ effective methods.
• Economic Impact: On industries and businesses, study the implication of cloud computing.
• Case Studies: Across cloud computing, the instances of efficient cost savings must be considered.

10. Cloud Application Development

Major Areas:

• Development Tools: For creating cloud-related applications, use appropriate tools and frameworks.
• DevOps Practices: In the creation of cloud applications, examine the contribution of DevOps.
• Continuous Integration/Continuous Deployment (CI/CD): For CI/CD in the cloud, ideal approaches have to be explored.
• Use Cases: Along with development procedures, focus on effective cloud-related applications.

Sample Literature Survey Structure

1. Introduction:

• Regarding cloud computing, offer a brief outline.
• Explain the selected topic’s applicability and significance.
• Specify the literature survey’s major goals.

2. Background:

• Focus on the topic, and define its historical progression and advancement.
• Mention the significant theories and terms.

3. Review of Literature:

• Consider major research articles and papers, and provide an overview of them.
• Various methods, solutions, and approaches have to be compared.
• Concentrate on current research and describe their advantages and shortcomings.

4. Existing Trends and Issues:

• Relevant to the topic field, we should discuss the current developments.
• Unsolved research queries and existing problems must be considered.

5. Applications and Case Studies:

• Discuss the topic’s practical applications.
• Focus on case studies where the realistic application and advantages are exhibited.

6. Conclusion:

• From the literature survey, major discoveries have to be outlined.
• To carry out exploration in the topic field, we need to suggest upcoming directions.

7. References:

• By adhering to a constant citation style (for instance: APA, IEEE), all the sources and references should be arranged, which are cited in the survey.

What is the biggest threat to cloud computing?

In the area of cloud computing, several threats are generally confronted by various firms, industries, and workers. By emphasizing the major factors of potential threats, we offer brief explanation and instances, along with mitigation policies:

1. Data Breaches

• Explanation: Various problems such as major reputational and financial impairment to firms, revelation of private data, and data theft can be caused, especially when the sensitive data stored in the cloud is accessed in an illicit manner.
• Instances:

• To steal data and access databases, vulnerabilities are utilized by cybercriminals.
• It involves insider threats, in which the access to data is exploited by contractors or workers.

2. Data Loss

• Explanation: Businesses and their processes can be majorly affected through enduring loss of data, which might be caused by disasters, corruption, or unintentional erasure.
• Instances:

• Cloud users or managers can be involved in unintentional erasure.
• In terms of hardware faults or software errors, the data can be corrupted.
• Lack of disaster recovery and backup strategies.

3. Insufficient Identity, Credential, and Access Management

• Explanation: Illicit access to cloud resources can be resulted by means of insufficient access controls, poor handling of credentials, and ineffective authentication techniques.
• Instances:

• Consider the utilization of default or ineffective passwords.
• Inadequate multi-factor authentication (MFA).
• Access control strategies that are specified in a limited way.

4. Insecure Interfaces and APIs

• Explanation: APIs and interfaces are highly trusted by cloud services. Illicit access to cloud resources can be resulted in the case of unsafe APIs and interfaces.
• Instances:

• In APIs, consider insufficient input validation.
• Appropriate authentication and authorization reviews are limited.
• By means of unsafe APIs, focus on the revelation of confidential data.

5. Misconfiguration and Inadequate Change Control

• Explanation: Confidential data and services can be revealed to illicit access, because of disarranged cloud resources. Accidental security gaps can be resulted through insufficient change control.
• Instances:

• Including confidential data, consider the openly accessible storage buckets.
• Concentrate on the disarranged databases or virtual machines.
• For configuration modifications, focus on inadequate monitoring and auditing.

6. Denial of Service (DoS) Attacks

• Explanation: For legal users, cloud services can be inaccessible in the case of overloading by DoS assaults. It can also interrupt operations in business sectors.
• Instances:

• To consume the capability, the cloud resources can be overloaded with enormous requests.
• In order to collapse services, consider misusing vulnerabilities.

7. Insider Threats

• Explanation: Cloud security can be harmed through accidental errors or malicious activities, which are carried out by insiders like contractors or workers.
• Instances:

• Confidential data access by insiders, and the access exploitation.
• Data loss or revelation can be resulted through accidental errors.

8. Advanced Persistent Threats (APTs)

• Explanation: In APTs, assaulters interrupt operations and steal information by acquiring enduring access to cloud platforms. These are considered as more advanced and focused assaults.
• Instances:

• Concentrate on state-sponsored cyber espionage.
• On particular firms or industries, examine more focused assaults.

9. Shared Technology Vulnerabilities

• Explanation: In the major shared infrastructure of cloud platforms, several tenants can be harmed through misusing vulnerabilities.
• Instances:

• Cross-tenant assaults can be resulted through misuse in virtualization mechanisms.
• In shared services such as network infrastructure or DNS, consider vulnerabilities.

10. Compliance and Legal Risks

• Explanation: Loss of business, penalties, and legitimate actions can be caused, especially in the case of not following legal principles and regulatory needs.
• Instances:

• Focus on the violation of data security rules. It could encompass CCPA, HIPAA, or GDPR.
• From jurisdictional and data sovereignty variations, legal problems can be increased.

Mitigation Policies

1. Robust Authentication and Access Control:

• Multi-factor authentication (MFA) has to be applied.
• It is important to implement efficient password strategies.
• To restrict access to required resources alone, we have to utilize role-based access control (RBAC).

2. Data Encryption:

• At the time of processing, transmission, and inactive states, the data must be encrypted.
• In order to protect encryption keys, employ strong key management approaches.

3. Regular Security Audits and Penetration Testing:

• To detect and solve risks, frequent security audits have to be carried out.
• As a means to simulate assaults and improve securities, the penetration testing should be conducted.

4. Extensive Backup and Disaster Recovery Strategies:

• Frequent data backups must be executed. Then, their morality has to be checked.
• From data loss incidents, assure rapid recovery by creating and examining disaster recovery strategies.

5. Secure API Development Approaches:

• To prevent risks in APIs, we should comply with safer coding approaches.
• For API access, the appropriate authentication and authorization reviews have to be executed.

6. Continuous Monitoring and Threat Detection:

• To track cloud platforms in a constant manner, utilize innovative threat detection tools.
• In order to identify and react to doubtful actions, the logging and auditing must be applied.

7. Training and Awareness Programs:

• To detect and react to security hazards, frequent security training has to be carried out for workers.
• Across the firm, focus on supporting a security-first culture.

On the basis of cloud computing, we suggested numerous topics, including a few major areas. By considering the threats to cloud computing, concise explanations and potential instances are provided by us in an explicit manner.

Topics Under Cloud Computing for Research

Topics Under Cloud Computing for Research are listed below, you can approach our experts and have a live chat with them and get your research done on time. Distance is not a barrier to us get cloudcomnmputiongprojects.net we provide online Cloud Computing paper writing help we are readily available we have all the latest advancements to get your work done.

1. Reinforcing privacy in cloud computing via adaptively secure non-zero inner product encryption and anonymous identity-based revocation in unbounded setting
2. Design of network security storage system based on under cloud computing technology
3. Interactive anomaly-based DDoS attack detection method in cloud computing environments using a third party auditor
4. An ANN based bidding strategy for resource allocation in cloud computing using IoT double auction algorithm
5. Ultra Wide Band communication for condition-based monitoring, a bridge between edge and cloud computing
6. The aspect of vast data management problem in healthcare sector and implementation of cloud computing technique
7. Power normalized cepstral robust features of deep neural networks in a cloud computing data privacy protection scheme
8. A dynamic weight–assignment load balancing approach for workflow scheduling in edge-cloud computing using ameliorated moth flame and rock hyrax optimization algorithms
9. Multi-class privacy-preserving cloud computing based on compressive sensing for IoT
10. A novel multi-objective CR-PSO task scheduling algorithm with deadline constraint in cloud computing
11. Development and psychometric evaluation of the cloud computing acceptance questionnaire for academic libraries
12. Joint task offloading and resource allocation in mixed edge/cloud computing and blockchain empowered device-free sensing systems
13. Customer-satisfaction-aware and deadline-constrained profit maximization problem in cloud computing
14. The influence of cloud computing on the healthcare industry: a review of applications, opportunities, and challenges for the CIO
15. Application of new digital signal processing technology based on distributed cloud computing in electronic information engineering
16. Multi-objective task scheduling optimization in cloud computing based on fuzzy self-defense algorithm
17. Analyzing transparency and malicious insiders prevention for cloud computing environment
18. Decomposition-based multi-objective evolutionary algorithm for virtual machine and task joint scheduling of cloud computing in data space
19. Intelligent multi-agent reinforcement learning model for resources allocation in cloud computing
20. Marketing data security and privacy protection based on federated gamma in cloud computing environment