Name
Abstract | ||
|---|---|---|
The P2P-based system for the distributed storing of session data of Internet service providers' access nodes called P2P-based storage platform is presented. Session data is continuously changing due to customers connected to access nodes, i.e., it is highly volatile. However, it has to be stored persistently as it is required for data forwarding, traffic filtering, and deriving statistics. Failing access nodes must be able to restore their data after reentering the network. Today, the session data is stored in the access nodes' flash memory, which is limited in life time and size and intended for other purposes. Contrary, the P2P-based storage platform allows to store session data in the access nodes' available RAMs connected by the distributed hash table-based P2P network Kad. A Kad network consisting of 8,000 access nodes for distributed storage of session data is setup for simulation. The simulation results show the traffic overhead to be minimal, linear scalability, and prove the high availability of the stored session data. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ISCC.2013.6754994 | Computers and Communications |
Keywords | Field | DocType |
Internet,file organisation,flash memories,peer-to-peer computing,random-access storage,statistics,telecommunication traffic,Internet service provider access nodes,Kad-based distributed storage system,P2P-based storage platform,P2P-based system,RAM,access nodes flash memory,data forwarding,deriving statistics,distributed hash table-based P2P network Kad,extensive analysis,session data,traffic filtering,Distributed Data Storing,Kad,P2P,Scalability,Simulation | Flash memory,Computer science,Distributed data store,Computer network,Session ID,Multiplexing,High availability,Operating system,Scalability,Distributed hash table,The Internet | Conference |
ISSN | Citations | PageRank |
1530-1346 | 1 | 0.38 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan Skodzik | 1 | 18 | 5.22 |
| Peter Danielis | 2 | 42 | 13.13 |
| Vlado Altmann | 3 | 17 | 4.16 |
| Dirk Timmermann | 4 | 846 | 101.52 |