Concurrency control in a system for distributed databases (SDD-1)
ACM Transactions on Database Systems (TODS)
Reliability mechanisms for SDD-1: a system for distributed databases
ACM Transactions on Database Systems (TODS)
Concurrency Control in Distributed Database Systems
ACM Computing Surveys (CSUR)
The Byzantine Generals Problem
ACM Transactions on Programming Languages and Systems (TOPLAS)
ACM Transactions on Computer Systems (TOCS)
Time, clocks, and the ordering of events in a distributed system
Communications of the ACM
Ethernet: distributed packet switching for local computer networks
Communications of the ACM
SIGMOD '81 Proceedings of the 1981 ACM SIGMOD international conference on Management of data
A recovery algorithm for a distributed database system
PODS '83 Proceedings of the 2nd ACM SIGACT-SIGMOD symposium on Principles of database systems
Determining the last process to fail
PODS '83 Proceedings of the 2nd ACM SIGACT-SIGMOD symposium on Principles of database systems
Notes on Data Base Operating Systems
Operating Systems, An Advanced Course
The failure and recovery problem for replicated databases
PODC '83 Proceedings of the second annual ACM symposium on Principles of distributed computing
Host groups: a multicast extension for datagram internetworks
SIGCOMM '85 Proceedings of the ninth symposium on Data communications
ACM Transactions on Computer Systems (TOCS)
An Internet multicast system for the stock market
ACM Transactions on Computer Systems (TOCS)
Broadcast Protocols for Distributed Systems
IEEE Transactions on Parallel and Distributed Systems
A Reliable Multicast Protocol with Delay Guarantees
NETWORKING '02 Proceedings of the Second International IFIP-TC6 Networking Conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; and Mobile and Wireless Communications
Comparison of Database Replication Techniques Based on Total Order Broadcast
IEEE Transactions on Knowledge and Data Engineering
Practical impact of group communication theory
Future directions in distributed computing
An ordered and reliable broadcast protocol for distributed systems
Computer Communications
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Atomic broadcast and failure detection are powerful primitives for distributed database systems In the distributed database system LAMBDA, they are provided as network primitives In this paper, we show how atomic broadcast and failure detection simplify transaction commitment, concurrency control, and crash recovery Specifically, we give a simple two-phase non-blocking commit protocol, whereas three phases are required in a point-to-point network We also give a simplified read-one/write-all update algorithm for replicated data and an easily implemented log-based recovery algorithm providing uninterrupted transaction processingThe benefits of performing the atomic broadcast and failure detection at the network level are also discussed Performing these functions at the network level not only simplifies database protocols but also better utilizes the broadcast network fewer messages are transmitted Comparisons between LAMBDA and existing distributed database systems are also made