High-performance sorting on networks of workstations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Parallel Execution of Hash Joins in Parallel Databases
IEEE Transactions on Parallel and Distributed Systems
A PC-NOW Based Parallel Extension for a Sequential DBMS
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
MIL primitives for querying a fragmented world
The VLDB Journal — The International Journal on Very Large Data Bases
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Parallel database systems have delivered on the promise of providing excellent, linear performance speedups for both decision support and transaction processing workloads across a variety of parallel system platforms. The challenge is now to extend those results across the entire open systems spectrum of loosely coupled environments while realizing the inherent high availability of such systems. The Informix eXtended Parallel Server (XPS) will accomplish that goal.XPS is the third and latest in the series of Online database servers that are based upon the Informix Dynamic Scalable Architecture (DSA). Earlier Online DSA servers have proven the effectiveness of the SMP-based high performance parallel data query (PDQ) technology that is the foundation of XPS: multi-threaded process groups, table partitioning, pipelined hash-partitioned operators, light access methods, and parallel resource management. XPS extends that PDQ technology across the continuum from small clusters of large SMP systems to massively parallel clusters of SMP or uniprocessor systems.