Volunteer Computing Projects

The new way of increasing throughput for computing devices is known as “Volunteer computing”. Mainly, it is used in all sorts of computing devices for consumer’s benefits via resource sharing to frequent task offloading and load unbalancing issues. Although it increases the huge-level computing capacity, it has some challenges. The middleware system called BOINC signifies the challenges of volunteer computing like unreliability, heterogeneity, and many more. This page describes the basic information of Volunteer Computing Projects such as volunteer computing overview, architecture, research limitations, topics, algorithms, integrated technologies, current trends, performance metrics, etc.!!! 

Empiricial study of Volunteer Computing

Outline of Volunteer Computing 

The main aim of volunteers is to address the computing preference to manage the resources used for computing. In other words, it only decides in what way the computing devices are utilized. For instance, it is used for CPU throttling which turns ON or OFF computing to control the CPU heat. The account manager of the web interface has the right to set computing preferences which set locally on the computer. Then, it will be distributed to all their connected volunteer computers.    

The architecture of Volunteer Computing 

Generally, the collection of volunteer nodes is said to be a volunteer computing system for donating computing resources. Further, it controls the donated resources act as a launch point for users /volunteers of a volunteer computing system.

Then, we see about the working of volunteer computing projects. Technically, the resource controller collects tasks from users and performs preprocessing process. Then, it chooses the appropriate resource nodes to allocate tasks. Next, every research node processes the allocated task and distributes the outcome to the controller itself.  

Classifications of Volunteer Computing 

In fact, there are different ways to establish communication over a volunteer computing system. Further, it is classified into three different forms of architecture such as hybrid, centralized and decentralized. All these architectures are greatly impacted by flexibility, security, scalability, performance, etc. Let’s see some of them in detail.

  • Centralized 
    • It makes machines work in the client-server structure for donating resource controller services
    • Here, the volunteer computing resources are managed by the resource nodes
    • Overall, it centrally controls the task co-ordinations, allocation, and security problems
  • Decentralized
    • It makes machines work in a peer-to-peer architecture
    • Here, the volunteer node can simultaneously act as either resource controller or resource node
    • Overall, it de-centrally controls the task co-ordinations and scalability but lacks trust
  • Hybrid
    • It is a combination of centralized (trust and security) and decentralized (flexibility and scalability) systems
    • Here, communications are takes place between volunteers, and other functions are performed at the central server without human involvement
    • In-overall, it gives functionalities to the global resource directory

Our resource team has a long-lasting experience in handling volunteer computing projects. So, we are familiarized with every part of fundamental and advanced technologies of a volunteer computing system. From our current study, we have analyzed different research volunteer computing system issues that are looking for better solutions. Here, we have listed only a few of them to give you some knowledge on recent research issues. Moreover, we also have appropriate techniques and algorithms to tackle these and other related issues.

Limitations of Volunteer Computing 

  • Buffer related issues
  • Computing time limitation
  • Constrained network traffic
  • Restriction over memory-space and disk-space usage
  • And many more

In addition, we have framed different research topics from currently gathered VC systems research issues. We assure you that our topics hold creative research problems with best-fitting solutions. And also, our research topics are up-to-date to satisfy the needs of current research scholars.

Here, we have enlisted only a few important research topics for Volunteer Computing Projects. To know more innovative research ideas and project topics in your desired research areas, create a bond with us. We let you grasp knowledge on current research updates of your required research areas.

Volunteer Computing Research Topics

  • Privacy and Security
  • Task Scheduling or Delivery
    • Knowledge-based policies
    • Naive Scheduling policies
  • Resource Allocation and Control
    • Scalability
    • Resource Monitoring
    • Heterogeneity
    • Irregularity Availability and Identification
    • Available Resource Allocation   

What are the issues of resource management in Volunteer Computing? 

For illustration purposes, now we can take “resource allocation and control” as an example. The objective of resource management is to enhance system efficiency, task fairness, and quality of service. While in the case of huge-scale scale, resource management will turn out to be a challenging job to perform. 

In order to allocate appropriate resources for various tasks, it is essential to focus on Time Skew, Cost, Profit, Cost, etc. Moreover, the scholars are currently undergoing research on overcoming various resource management issues through optimal resource allocation policies. Some of the important and best policies are given as follows,

What are the Resource Allocation Policies in Volunteer Computing?

  • Resources Shortage 
    • When inadequate resources are available
  • Resource Disputation
    • When more users simultaneously request the same service
  • Over-Allocation
    • When user get extra resources than the required one
  • Under-Allocation
    • When user get insufficient resource than the required one
  • Resource Division
    • When there is sufficient resources but restricted to accept the request and assign resource

Furthermore, here we have given you the two main classifications of resource allocation. All the research allocation policies, techniques, and algorithms function under any of these types. Our developers have developed countless Volunteer Computing Projects of both these types and also achieved the best results. So, we are aware of the technical issues at the time of implementation. As well as, we know to choose appropriate research solutions for these types of resource allocation. If you need more research ideas regarding classifications or policies, then connect with our team. 

Types of Resource Allocation in Volunteer Computing 

  • Dynamic
    • Constraint-based
    • SLA-based
  • Static
    • Elastic / Extendable Resources
    • Static / Fixed Resource

With an intention to achieve the best results, our developers have practiced numerous techniques and algorithms of volunteer computing. So, we know of the performance and purpose of the algorithms before implementation itself. We ensure you that our suggested research solution will definitely best-fitting for your handpicked research problems in volunteer computing. If we found no algorithms meet the expectation, then we create new algorithms based on project requirements. Here, we have given you a list of the best result-yielding algorithms of volunteer computing.

Algorithms for Volunteer Computing 

  • Buffer-N
  • FCFS
  • PreAnt Policy
  • Random Assignment
  • Location-based
  • Round Robin
  • Bidding Strategy
  • Heuristic Algorithm
  • Probabilistic Algorithm
  • Work-Fetch
  • Min-Min Algorithm
  • Genetic Algorithm
  • Online co-scheduling
  • Reputation / Trust-based
  • Bin Packing Algorithm
  • Availability / Reliability Threshold
  • Offline Simple Task Scheduling
  • Spot and Dynamic Pricing
  • Multi-Criteria Decision Making
  • Normalized Turnaround Time
  • Cost-aware Heterogeneous Cloud Memory Model
  • Energy-Aware Dynamic Task Scheduling (EDTS)
  • Minimum Average Cost First (MACF) Algorithm
  • Optimal Resource Allocation with Predetermined Task Placement and Resource Allocation Algorithm
  • Minimal Slack Time and Minimum Distance (MSMD) Algorithm
  • Dynamic Data Allocation Advanced (2DA) Algorithm
  • Lagrange Relaxation based Aggregated Cost (LRAC)Algorithm
  • Optimal Offline and Deterministic Online Algorithm

As a new advancement, integrated technologies are growing fast in volunteer computing. In point of fact, many current research scholars are demanding their research ideas/topics from these technologies. Most importantly, integrating volunteer computing with the following technologies increase the status of Volunteer Computing Projects from others. So, we have collected numerous project topics under these combinations for the benefit of our handhold scholars / final year students.

Integrated Technologies of  Volunteer Computing Projects

  • Internet of Things
  • Edge Computing
  • Fog-Cloud Computing
  • Social Volunteer Clouds
  • Peer-to-Peer Volunteer Clouds
  • Smart Grid Computing
  • Virtualization Versus Containers
  • Cloud-enabled Ad Hoc Network
  • Blockchain-based Volunteer Computing
  • Volunteer Desktop and Storage Clouds

One special thing about volunteer computing is that it can be integrated with any of the above technologies and others. This integration concept is increasingly used to enhance services or applications. For instance: Volunteer Supported Fog Computing (VSFC). This model launch interaction between two different computing fields. As a result, it decreases energy utilization, network utilization, and communication latency.

In this way, volunteer computing is moving towards forward-thinking technologies. As well, these technologies are in the making of new contributions to social developments. So, these technologies draw the attention of scholars from all parts of the world. We are here to provide the best development support in all these technologies. Also, we accept your research ideas for project implementation. Some of the core technologies are given in the following.

Emerging Trends in Volunteer Computing 

  • Low-delay Computing
    • To predict task completion time and to achieve fast task completion
  • Secure Resource Management
    • To simulate only compiled executables for security purposes
  • VC Optimization 
    • To optimize volunteer services for specific GPUs and CPUs models 

QoS in Volunteer Computing 

For decentralized or distributed systems, quality of service (QoS) is a significant factor to achieve. Because of resource-constrained volunteers, discreet features, and intermittent availability, VC systems are yielding the best effort services. It may cause issues related to QoS-assured services. Further, it also attempted to integrate QoS between design and development.

In recent days several pieces of research are supposed to bring expected QoS-assured services in VC systems, the integration of QoS services on basic applications needs more concerns. We are here to help you in achieving your goal without the loss of quality over service.

When using prediction/estimation techniques for analyzing system behavior in different scenarios, helps to achieve the improved QoS in volunteer computing systems. Most importantly, QoS should meet the low delay factor for latency-sensitive and time-constrained applications. For example industrial control, telehealth, smart transportation, etc. Further, here we have given the few vital performance metrics that enhance the efficiency of volunteer computing systems. 

QoS Performance Metrics in Volunteer Computing 

  • Jitter
  • Delay
  • Delivery Rate
  • Energy Utilization
  • Network Usage
  • Workload Success Ratio
  • Response Time

On the whole, we have fine-tuned volunteer computing projects from top-research areas and trends. Once you communicate with us, we are ready to share countless research ideas on your interested area of volunteer computing. As well as, we provide complete code execution of your handpicked research topic in suitable development tools and technologies. Further, we give you supplementary materials like running procedure, execution video, project screenshots, software installation guidelines, etc. at the time of project delivery.

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