Analysis of a replicated data base
Performance Evaluation
An approach to decentralized computer systems
IEEE Transactions on Software Engineering
On multisystem coupling through function request shipping
IEEE Transactions on Software Engineering
Concurrency control performance modeling: alternatives and implications
ACM Transactions on Database Systems (TODS)
Concurrency control in distributed database systems
Concurrency control in distributed database systems
A hybrid Distributed Centralized System Structure for Transaction Processing
IEEE Transactions on Software Engineering
Conflict detection tradeoffs for replicated data
ACM Transactions on Database Systems (TODS)
Analysis of Hybrid Concurrency Control Schemes for a High Data Contention Environment
IEEE Transactions on Software Engineering
On the analytical modeling of database concurrency control
Journal of the ACM (JACM)
Dynamic and static load sharing in hybrid distributed-centralized database system
Computer Systems Science and Engineering
On the modeling of parallel access to shared data
Communications of the ACM
Distributed Database Management
Distributed Database Management
Analysis of Replication in Distributed Database Systems
IEEE Transactions on Knowledge and Data Engineering
Modeling and Analysis of a Time-Stamp History Based Certification Protocol for Concurrency Control
IEEE Transactions on Knowledge and Data Engineering
Concurrency Control Using Locking with Deferred Blocking
Proceedings of the Sixth International Conference on Data Engineering
The Effect of Skewed Data Access on Buffer Hits and Data Contention an a Data Sharing Environment
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
Basic Timestamp, Multiple Version Timestamp, and Two-Phase Locking
VLDB '83 Proceedings of the 9th International Conference on Very Large Data Bases
PODC '82 Proceedings of the first ACM SIGACT-SIGOPS symposium on Principles of distributed computing
Performance of update algorithms for replicated data in a distributed database.
Performance of update algorithms for replicated data in a distributed database.
Concurrency control performance issues
Concurrency control performance issues
On the analytical modeling of database concurrency control
Journal of the ACM (JACM)
SimDS: a simulation environment for the design of distributed database systems
ACM SIGMIS Database
Performance Modeling of Distributed and Replicated Databases
IEEE Transactions on Knowledge and Data Engineering
Performance Analysis of Concurrency Control Using Locking with Deferred Blocking
IEEE Transactions on Software Engineering
Improving Performance in Replicated Databases through Relaxed Coherency
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
Cloud-TM: harnessing the cloud with distributed transactional memories
ACM SIGOPS Operating Systems Review
Database system performance evaluation models: A survey
Performance Evaluation
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A system structure and protocols for improving the performance of a distributed transaction processing system when there is some regional locality of data reference are presented. A distributed computer system is maintained at each region, and a central computer system with a replication of all databases at the distributed sites is introduced. It provides the advantage of distributed systems principally for local transactions, and has the advantage of centralized systems for transactions accessing nonlocal data. Specialized protocols keep the copies at the distributed and centralized systems consistent without incurring the overhead and delay of generalized protocols for fully replicated databases. The advantages achievable through this system structure and the tradeoffs between protocols for concurrency and coherency control of the duplicate copies of the databases are studied. An approximate analytic model is used to estimate the system performance. It is found that the performance is sensitive to the protocol and that substantial performance improvement can be obtained as compared with distributed systems.