Title
Content Consistency Strategy for data storage in Content-Centric Networking
Abstract
In Content Centric Networking (CCN), registered data objects are frequently modified by users due to individual requirements, which results in downloading vulnerability to nodes. The overall consistency of data stored in multiple nodes is affected by two major factors, the changes in data content and the loss of data on each host, which significantly impacts the correctness and usability in the networks. To solve this problem, we apply optimization problem to minimize the overall transmission error of registered data delivered from the source node to the sink node in CCN. Specifically, we first describe the problems of transmission error rate and transmission time based on CCN. Then, we propose a specific strategy to unify the stored data and optimize system performance, and then achieve the minimized overall transmission fault for a certain amount of data. Finally, comprehensive simulations show that significant performance enhancement can be achieved by using our proposed scheme.
Year
DOI
Venue
2016
10.1109/ISCC.2016.7543716
2016 IEEE Symposium on Computers and Communication (ISCC)
Keywords
Field
DocType
Consistency,Content Centric Networks,Modified,Content Store,status switching
Computer science,Computer data storage,Usability,Correctness,Upload,Computer network,Memory management,Content centric networking,Transmission time,Optimization problem,Distributed computing
Conference
Volume
ISBN
Citations 
2016-August
978-1-5090-0680-9
0
PageRank 
References 
Authors
0.34
3
5
Name
Order
Citations
PageRank
Sun Jingting111.04
Li Hui217334.14
Xu Li329746.09
Pan Kai444.47
Yin Weijuan501.01