
Design and Analysis of an Efficient Friend-to-Friend Content Dissemination System
Abstract
Design and analysis of an efficient friend-to-friend Opportunistic communication, off-loading and decentralized distribution has been proposed as a cost-effective means of disseminating content when users are geographically clustered into communities.
Design and Analysis of an Efficient Friend-to-Friend Despite its promise, none of the proposed systems have been widely adopted due to unbounded high content delivery latency, security and privacy concerns.presents a new hybrid content storage and distribution system that addresses user confidence and privacy concerns, lowers content distribution and storage costs, and shows how mobile social networking services can be uniquely combined to develop.
Design and Analysis of an Efficient Friend-to-Friend The past few years have seen a rapid growth in the use of free social networking applications such as Facebook,Twitter and Google+.projects on Design and Analysis of an Efficient In addition,other centralized content hosting services that support the distributionof user generated content.
The UGC shared through these services is increasingly being generated and consumed by users using their mobile devices, requiring content transfer between mobile devices and content hosts, (UGC) such as YouTube and Flickr are also becoming widely used.
This will impact both users and mobile operators as it will (a) exacerbate mobile network congestion, and (b) make privacy and data ownership issues even more acute.As service providers will not only have full control over user data, they will also have access to more private information available through mobile devices, such as location.
Conclusion
We proposed a new distributed content storage and dissemination architecture that uses intelligent content replication to address issues of lack of trust and timeliness of delivery, and loss of privacy that has hindered the adoption and deployment of friend-to-friend content delivery.
First, we showed that in opportunistic content dissemination architectures the problem of content replication is NP-hard.Then we developed a community-based greedy algorithm for efficient content replication, projects reports on Design and Analysis taking advantage of social networking friends’routine behavioral patterns.
Different dynamic centrality metrics were proposed as the greedy choice property to identify the most influential users in a community.projects reports on Design and Analysis Using both real and synthetic data sets, we demonstrated that our community-based greedy algorithm results in delivery success rates of up to 80% with less than 10% replication.
Projects on Design and Analysis of an Efficient In addition, approximately 60 percent of the content can be delivered in less than one day. However, the results show that it is not possible to consistently identify most influential users within a community to optimize delivery as they are highly environmentally dependent.
Project Name | :Design and Analysis of an Efficient Friend-to-Friend Content Dissemination System |
Project Category | : Mobile Computing |
Pages Available | : 55-65/pages |
Project PPT cost | : Rs 500/ $10 |
Project Synopsis | : Rs 500/ $10 |
Project Cost | : Rs 1999/$ 30 |
Delivery Time | : within 12 Hours |
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