Exokernel: an operating system architecture for application-level resource management
SOSP '95 Proceedings of the fifteenth ACM symposium on Operating systems principles
A high performance and adaptive commit protocol for a distributed environment
ACM SIGOPS Operating Systems Review
An adaptive data replication algorithm
ACM Transactions on Database Systems (TODS)
Revisiting commit processing in distributed database systems
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Commit processing in distributed database systems and in heterogeneous multidatabase systems
Commit processing in distributed database systems and in heterogeneous multidatabase systems
A compliant persistent architecture
Software—Practice & Experience - Persistent object systems
SIGMOD '81 Proceedings of the 1981 ACM SIGMOD international conference on Management of data
Notes on Data Base Operating Systems
Operating Systems, An Advanced Course
Distributed Systems - Architecture and Implementation, An Advanced Course
Efficient commit protocols for the tree of processes model of distributed transactions
PODC '83 Proceedings of the second annual ACM symposium on Principles of distributed computing
Towards Compliant Distributed Shared Memory
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Adaptive Commitment for Real-Time Distributed Transactions
Adaptive Commitment for Real-Time Distributed Transactions
Concurrency Control and Consistency of Multiple Copies of Data in Distributed Ingres
IEEE Transactions on Software Engineering
Garbage collection for storage-oriented clusters
ACSC '04 Proceedings of the 27th Australasian conference on Computer science - Volume 26
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The compliant systems architecture (CSA) is a structuring methodology for constructing software systems that exhibit strict separation of policy and mechanism. Components of an instantiated CSA adapt to their environment under application control. This ability to evolve allows a single system to provide optimal support for arbitrary applications through flexible policy specification. Applications may determine their preferred level of participation in the specification of policy. In a distributed database system, two-phase commit (2PC) delineates a family of algorithms governed by policies that affect different performance, overhead and recovery characteristics. Whilst the literature describes many different algorithms, a given implementation employs a particular subset of policy choices. Consequently applications are captive to decisions made by the underlying system and are unable to exploit domain-specific knowledge. This paper outlines an instantiation of a distributed CSA and illustrates how it delivers flexibility within 2PC.