Byzantine fault-tolerant deferred update replication

Replication is a well-established approach to increasing database availability. Many database replication protocols have been proposed for the crash-stop failure model, in which servers fail silently. Fewer database replication protocols have been proposed for the byzantine failure model, in which servers may fail arbitrarily. This paper considers deferred update replication, a popular database replication technique, under byzantine failures. The paper makes three contributions. First, it shows that making deferred update replication tolerate byzantine failures is quite simple. Second, the paper presents a byzantine-tolerant mechanism to execute read-only transactions at a single server. Third, we consider byzantine client attacks against deferred update replication and discuss effective countermeasures against these attacks.

[1]  Ronald L. Rivest,et al.  The MD5 Message-Digest Algorithm , 1992, RFC.

[2]  Rodrigo Rodrigues,et al.  Efficient middleware for byzantine fault tolerant database replication , 2011, EuroSys '11.

[3]  Ricardo Jiménez-Peris,et al.  Middleware based data replication providing snapshot isolation , 2005, SIGMOD '05.

[4]  Fernando Pedone,et al.  Tashkent: uniting durability with transaction ordering for high-performance scalable database replication , 2006, EuroSys.

[5]  Hari Balakrishnan,et al.  Tolerating byzantine faults in transaction processing systems using commit barrier scheduling , 2007, SOSP.

[6]  Rachid Guerraoui,et al.  Transaction reordering in replicated databases , 1997, Proceedings of SRDS'97: 16th IEEE Symposium on Reliable Distributed Systems.

[7]  Jennifer Widom,et al.  Database Systems: The Complete Book , 2001 .

[8]  Gustavo Alonso,et al.  A new approach to developing and implementing eager database replication protocols , 2000, TODS.

[9]  Leslie Lamport,et al.  The Byzantine Generals Problem , 1982, TOPL.

[10]  Rodrigo Rodrigues,et al.  Byzantine Clients Rendered Harmless , 2005, DISC.

[11]  AlonsoGustavo,et al.  A new approach to developing and implementing eager database replication protocols , 2000 .

[12]  John Lane,et al.  Byzantine replication under attack , 2008, 2008 IEEE International Conference on Dependable Systems and Networks With FTCS and DCC (DSN).

[13]  Miguel Castro,et al.  Practical byzantine fault tolerance and proactive recovery , 2002, TOCS.

[14]  Jean-Philippe Martin,et al.  Fast Byzantine Consensus , 2006, IEEE Transactions on Dependable and Secure Computing.

[15]  Fernando Pedone.  The database state machine and group communication issues , 1999 .

[16]  Hector Garcia-Molina,et al.  Applications of Byzantine agreement in database systems , 1986, TODS.

[17]  Gustavo Alonso,et al.  Ganymed: Scalable Replication for Transactional Web Applications , 2004, Middleware.

[18]  Whitfield Diffie,et al.  Multiuser cryptographic techniques , 1976, AFIPS '76.

[19]  Leslie Lamport,et al.  The part-time parliament , 1998, TOCS.

[20]  Willy Zwaenepoel,et al.  C-JDBC: Flexible Database Clustering Middleware , 2004, USENIX Annual Technical Conference, FREENIX Track.

[21]  Rodrigo Rodrigues,et al.  Byzantium: Byzantine-Fault-Tolerant Database Replication Providing Snapshot Isolation , 2008, HotDep.

[22]  Fernando Pedone,et al.  Database replication using generalized snapshot isolation , 2005, 24th IEEE Symposium on Reliable Distributed Systems (SRDS'05).

[23]  Adi Shamir,et al.  A method for obtaining digital signatures and public-key cryptosystems , 1978, CACM.

[24]  Christoph M. Kirsch,et al.  Proceedings of the sixth conference on Computer systems , 2011, Eurosys 2011.