In the epidemic model an update is initiated on a single site and is propagated to other sites in a lazy manner. When combined with version vectors and event logs, this propagation mechanism delivers updates in causal order despite communication failures. We integrate quorums into the epidemic model to process transactions on replicated data while ensuring global serializability. We present a detailed simulation of a distributed replicated database and demonstrate the performance improvements.
|Number of pages||8|
|Journal||IEEE International Performance, Computing and Communications Conference, Proceedings|
|Publication status||Published - 1 Jan 2000|
|Event||IEEE International Performance, Computing, and Communications Conference (IPCCC 2000) - Phoenix, AZ, USA|
Duration: 20 Feb 2000 → 22 Feb 2000
ASJC Scopus subject areas
- Media Technology