Building secure and reliable network applications
Building secure and reliable network applications
Dynamic parallel access to replicated content in the internet
IEEE/ACM Transactions on Networking (TON)
State Synchronization and Recovery for Strongly Consistent Replicated CORBA Objects
DSN '01 Proceedings of the 2001 International Conference on Dependable Systems and Networks (formerly: FTCS)
Online Reconfiguration in Replicated Databases Based on Group Communication
DSN '01 Proceedings of the 2001 International Conference on Dependable Systems and Networks (formerly: FTCS)
Non-Intrusive, Parallel Recovery of Replicated Data
SRDS '02 Proceedings of the 21st IEEE Symposium on Reliable Distributed Systems
On the Effect of Large-Scale Deployment of Parallel Downloading
WIAPP '03 Proceedings of the The Third IEEE Workshop on Internet Applications
A speed-based adaptive dynamic parallel downloading technique
ACM SIGOPS Operating Systems Review
Adding group communication and fault-tolerance to CORBA
COOTS'95 Proceedings of the USENIX Conference on Object-Oriented Technologies on USENIX Conference on Object-Oriented Technologies (COOTS)
Fault-tolerant replication based on fragmented objects
DAIS'06 Proceedings of the 6th IFIP WG 6.1 international conference on Distributed Applications and Interoperable Systems
On the efficiency of durable state machine replication
USENIX ATC'13 Proceedings of the 2013 USENIX conference on Annual Technical Conference
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Replication systems require a state-transfer mechanism in order to recover crashed replicas and to integrate new ones into replication groups. This paper presents and evaluates efficient techniques for parallel state transfer in such systems. These techniques enable a faster integration of replicas and improve overall service availability. On the basis of previous work on distributed download in client-server and peer-to-peer systems, we obtain parallel state-transfer mechanisms for replicated objects. Our algorithms support static and dynamic distributed download of state without a priori knowledge about the state size. A non-blocking transfer minimises the time of service unavailability during state transfer. In addition, partial state capturing is presented as an additional technique that improves the parallel transfer of large states.