Cloud Computing is a wide variety of web-oriented services specially intended to satisfy the consumers to use services through resources. All these computing services are hosted on the internet so that, the user can access their desired service from anywhere at any place. This page is about the current innovative Cloud Computing Project Topics for scholars who wish to create the masterwork in their research profession!!!

The heterogeneous services consist of software/applications, services, computing tasks, servers, networks, analytics, and more which can be owned from the cloud (either free or pay-as-you-go). Also, we have listed out the 7 major advantages of availing cloud platform in the enterprise.

  • Speed
  • Choice
  • Integration
  • Cost-Effective
  • Compliance Auditing
  • Scalability (Flexibility)

Most importantly, it is not necessary to be closer to physical hardware. Over the past years, USB drives / external disks are used to store information. Now, by availing of cloud service, we can access the files from any remote. By the by, it securely stores the data against web attacks. Also, the data migration helps to balance the load/traffic in the cloud by sharing the data in multi-servers, warehouses, or storage systems.

Cloud Computing Service Types

In fact, cloud computing services usually fall under any of these 3 key classifications: infrastructure-as-a-service (IaaS), software-as-a-service (SaaS), and platform-as-a-service (PaaS).

  • Infrastructure-as-a-Service
    • Instead of physical setup, it offers online cloud infrastructure that includes server, hardware, and storage
    • Suits for large network
    • For instance: Google Compute Engine, Amazon EC2, and DigitalOcean
  • Software-as-a-Service
    • Highly utilized in day-to-day life which is said to very common cloud service
    • Enables the software access via web browser/apps at free of cost or payment (monthly/annual subscription)
    • Does not need any physical hardware setup or installation
    • For instance: Google Docs, Dropbox, and Salesforce
  • Platform-as-a-Service
    • Offers a platform for web-based application development and deployment
    • One-stop solution for developers to construct analyze, install and manage the application all in one place.
    • Supports middleware, development technologies, and intelligence solutions
    • For instance: AWS Elastic Beanstalk, Google App Engine, and Windows Azure
Top 9 Interesting Cloud computing project topics

What are 5 key terms that describe Cloud Computing?

Here we have given the 5 very important features or terms that define the cloud computing:

  • On-demand self-service resource provisioning or de-provisioning
  • Resource pooling
  • Large network access
  • Measured service
  • Fast scalability

For your information, our research team has presented the chief research domains which hold their hands with cloud computing to develop more forward-thinking technologies. Currently, we are acquired with an infinite number of research ideas for Creative Cloud Computing Project Topics in the following areas.

3 Major Research Areas in Cloud Computing

Just to let you know, our research team has shared the future research directions of Cloud Computing. We have showcased these areas only after the in-depth study of recent research journals, papers, articles, and magazines.

What is the future of Cloud Computing?  

  • Edge computing
    • In existing cloud computing, it supports less number of providers and it offers broad-size centralized computing centers for data processing and storing with constrained resources and bandwidth
    • Edge computing is the best alternative solution that supports local data centers for handling nearer resources.
    • So, it is easy to perform the data computation locally without depending on a centralized network and control
  • Automated Cloud Orchestration and Optimization
    • Cloud supports the automated optimization and orchestration to overcome the complication on service/application maintenance in terms of both quality and quantity
  • Cloud Automation
    • In hybrid / multi-cloud, it is necessary to handle the data and system in a secure way
    • So, the enterprises are seeking for best analytics to efficiently manage the cloud behavior and performance
    • Utilize the machine learning (ML) approach for avoiding system security threats and vulnerabilities
  • Containerization
    • Support lightweight applications with APIs, libraries, and dependencies
    • Assure the application reliability over heterogeneous cloud environs
    • Cost-effective by means of hardware maintenance
  • Big Data
    • Collect both unstructured and structured data from different sources
    • Support large-scale data analytics and management which is not done in any traditional techniques
  • Multi-cloud
    • Enhance the cyber posture of application by concerning functionalities, feature acquisition, and risk mitigation

Due to tremendous research growth in Cloud Computing, the scholars are looking forward to doing practical studies in this field in their interest.

Top 9 Interesting Cloud Computing Project Topics

  • Cloud-based New Mobile Millennium System
  • Virtualization over Cloud Platforms
  • Cloud Services and Applications Availability
  • Vertical-Industries / Industry-Specific Cloud Solutions
  • Cloud assisted High-Performance Parallel Processing
  • Designing and Analyzing Cloud Computing Architecture
  • Social Clouds (Cloud-based Social Networks / Media)
  • Cloud Paradigm Management and Maintenance
  • Location Based Services (LBS) for Presence Analytics

But, conducting realistic trials in a cloud environment is quite costly. To experience the real environment before launching the actual setup, the simulation tools are developed. It is used to model and simulate the cloud system for thoroughly analyzing the behavior and performance of the whole system. As a result, it turns out to be the appropriate alternative solution for emulating the cloud model. Here, we have given some simulation tools which are specially launched for cloud computing.

  • CloudExp
  • CloudSim
  • CloudAnalyst
  • iCanCloud
  • CloudReports
  • GreenCloud

In addition, we have discussed some performance metrics used for evaluating cloud computing based projects. Since these metrics may vary based on the problem/area that you are dealing with in your handpicked research cloud computing project topics. Our developers have classified the commonly used parameters based on areas such as IoT/Mist, Cloud, Edge, Fog, and others.

  • IoT Metrics
    • Maximum Running Containers
    • Trustworthiness and Availability
    • IoT Device Lifespan
    • Temperature (IoT Device)
    • Latency/Delay Time (Ultra-Low)
    • Provisioned Containers
    • Response Time (Millisecond)
    • Reliability (Critical)
    • Resource Load (Container)
    • Security (Controversial)
    • Energy Utilization (IoT Devices)
    • Deprovisioned Containers
    • Consumption of Resource (Container)
    • Number of Damaged Tasks (Highly Possible)
  • Cloud Metrics
    • Response Time (Sec)
    • Load of Resource (VM, Container, Data Center, or Host)
    • Deprovisioned VMs, Containers, Data centers or Hosts
    • Energy Utilization (For instance: Hosts and Data Centers)
    • Resource Lifespan (VM, Container, Host, Data Center)
    • Temperature (For example Data Centers)
    • Latency / Delay Time (Low)
    • Maximum Running Container, Host, Data Center, VMs
    • Resource Consumption (Data Center, Host, VM, Container)
    • Provisioned VMs, containers, Data Center or Hosts
  • Edge Metrics
    • Edge Device Lifetime
    • Reliability (Moderate)
    • Provisioned VMs or Container
    • Load of Resource (Container)
    • Response Time (Millisecond)
    • Security
    • Latency / Delay (Very Low)
    • Trustworthiness and Availability
    • Deprovisioned Containers or VMs
    • Utilization of Resource (VM or Container)
    • Maximum Running VM or Container
    • Temperature (For instance: Routers or Gateway)
    • Consumption of Energy (For example Gateway)
    • Number of Damaged Tasks (Possible)
  • Common Metrics
    • Privacy
    • Throughput
    • Profit or Cost
    • Cache Hit Ratio
    • Fault Tolerance
    • Competition Ratio
    • Technique’s Lightness / Overhead
    • Traffic Control or Network Congestion
    • Time to Scalability / Adaptation
    • Number of Contradictory Decisions
    • Oscillation Mitigation (For example: in Scaling)
    • SLA Violation (i.e., Dropped Tasks and Success Rate)
    • Measurements of Statistical Analysis
    • Number of Contradictory Actions (For instance: in Placement)
    • Number of Orchestration Decisions (For instance: in Scheduling)
  • Fog Metrics
    • Maximum Running VM or Container
    • Resource Load (VM / Container)
    • Reliability(Moderate)
    • Latency / Delay Time (Very Low)
    • Provisioned VMs or Containers
    • Resource Consumption (VM or Container)
    • Response Time (Millisecond or Second)
    • Energy Utilization (For instance: Fog Servers)
    • Deprovisioned VMs or Containers
    • Temperature (For example Fog Servers)
    • Resource Lifetime (VM or Container, Server)

On the whole, we give you proper guidance in every phase of your research. Further, if you need to know more about Cloud Computing Project Topics, then make the bond with us. We let you know the up-to-date research areas with their new findings.