Presence Information Distribution in the P2P Overlay Using ALTO Service

Author(s):  
Hoanh Huu Tho Le ◽  
Tuan Nguyen Duong ◽  
Younghan Kim
2010 ◽  
Vol 30 (9) ◽  
pp. 2422-2426
Author(s):  
Wei WANG ◽  
Jin-yuan JIA ◽  
Chen-xi ZHANG ◽  
Yang YU
Keyword(s):  

2013 ◽  
Author(s):  
JOINT TACTICAL NETWORKING CENTER SAN DIEGO CA

2017 ◽  
Vol 5 (2) ◽  
pp. 110-115
Author(s):  
Prem Nath ◽  

P2P (peer-to-peer) overlays have attracted many researchers due to increase in Internet based P2P applications. A P2P overlay is a distributed system in which the independent nodes participate at their will to share resources in distributed manner. P2P overlays are designed for wired based communication systems but today P2P applications are becoming popular in wireless networks even in multi-hop wireless networks. Routing mechanism in P2P overlays is based on IP infrastructure and many protocols are deployed successfully for efficient and fair P2P applications. However, there are many challenges in designing and deployment of efficient and fair protocols for the P2P overlays. These overlays suffer from many challenges such as dynamic overlay management, lack of robust trust model, counterfeit content distribution, free riding, poor resource search scalability, security, etc. The churn rate of nodes (join and leave of nodes) in the P2P overlay makes overlay management and resource searching more challenging. The free riding nature of the nodes in a P2P overlay is undesirable and it creates unfairness in the P2P overlay. There are several mechanisms proposed such as Eigen Trust model, tit-for-tat policy, point-based incentive policy, Page Rank policy, layered taxation, advertisement of incentive, etc. for encouraging fairness in the P2P overlays. I have presented in-depth survey over free riding behaviour, its effect, and existing mechanisms to reduce free riding in structured P2P overlays.


2021 ◽  
Vol 13 (1) ◽  
pp. 59-63
Author(s):  
Stela Rutovic ◽  
Ana Isabel Fumagalli ◽  
Inna Lutsenko ◽  
Francesco Corea

Infodemiology is a research discipline that investigates parameters of information distribution in order to support public health and public policy. Wikipedia, a free online encyclopedia, is commonly used as a source of information for infodemiological studies. Using Pageviews analysis, we descriptively assessed the total monthly number of views of the Wikipedia articles in English describing main neurological diseases in the period from January 2018 to July 2020. Our results show a general trend of a decrease in interest in neurological disease-related pages throughout years and especially during the burst of interest towards coronavirus. The monitoring of infodemiological indicators shall be prioritized to reshape global campaigns and tailored advocacy programs.


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