Performance of concurrency control mechanisms in centralized database systems
This book gathers into one volume the important and significant research works, past and present, on the performance and development aspects of database concurrency control mechanisms. The book brings together research papers, articles, technical reports, correspondence, etc. that have been scattered in professional journals and conference proceedings. It presents detailed, readable introductions to serializability theory and recovery techniques without using hard-to-follow mathematical tools. It also features several articles on semantics-based CCMs and their performance.
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Transactions and Database Processing
SerializabilityBased Correctness Criteria
Concurrency Control Mechanisms and Their Taxonomy
20 other sections not shown
abort ACM Transactions active transactions Almaden Research Center analysis approach ARIES/IM assumption buffer cache client commit duration concurrency control algorithms conflict serializability copy cost data contention data items Database Systems DBMS deadline deadlock delete disk distributed concurrency control Distributed Database Equation experiment Figure granule graph IEEE implementation increase insert key locking key value lock conflict lock contention lock manager lock request locking protocols log record mode multiprogramming level node NonStop SQL number of locks number of transactions O2PL object OCC schemes OODB operations optimistic algorithm optimistic concurrency control optimistic protocols parameters partition performance phase priority probability pure OCC query queue recovery replication restart rolled back Section serial serializability server SIGMOD simulation thrashing throughput timestamp timestamp ordering tion transaction processing Transactions on Database tree traversal tuple two-phase locking undo update transactions validation version pool waiting workload write