FREE RIDER PROBLEM FOR FREE
FREE RIDER PROBLEM FREE

There is a huge increase in demand for cloud resources. Most of the cloud service providers such as Google, Amazon, Facebook, and many others are expanding and building new datacenters worldwide. Cloud accounts for 95 percent of global data center traffic.

Cloud computing-based traffic has increased significantly, and global cloud datacenter traffic is forecasted to an estimate of 19.5 Zettabytes per year by 2021 by Cisco. A large percentage of individuals use the cloud for sharing and storing data free-of-charge. Moreover, enterprise usage of the cloud is much higher when compared to individuals’ usage of the cloud. Cloud Computing use massive datacenters which lead to communication overhead as the number of users increases. For example, Amazon provides different sizes of virtual machine instances – Small, Medium, Large and Extra Large. Cloud providers provide resources in the form of various instances of platform, infrastructure, and storage as services to users. It uses virtualization techniques to provide required resources to users dynamically in the form of virtual machines (VMs).

FREE RIDER PROBLEM FREE

Simulation results show that our scheme is effective in mitigating the free rider problem in the distributed cloud.Ĭloud computing refers to delivering configurable computing and network resources over the internet to users on-demand. A secure time instant key is generated based on a key management scheme that enables good users’ more time to access resources as their participation is high, whereas free riders are given limited or no time as their participation is low.

FREE RIDER PROBLEM FOR FREE

This participation will be low for free riders thereby limiting their access to resources.

We propose an incentive-based scheme based on game theory for providers to participate in the cloud by providing resources. In this paper, we propose a 3-pronged solution KeyPIn-a Key-based, Participation-based, and Incentive-based scheme to mitigate the free rider problem in a distributed cloud environment. In a distributed cloud, resource providers share resources in a P2P fashion. However, this allows for the existence of free riders who do not provide resources to others, but at the same time use resources that others provide. In a distributed cloud, unlike centralized resource management, users provide and share resources.

Free rider problem