12 research outputs found
Extending functional databases for use in text-intensive applications
This thesis continues research exploring the benefits of using functional
databases based around the functional data model for advanced database
applications-particularly those supporting investigative systems. This is a
growing generic application domain covering areas such as criminal and military
intelligence, which are characterised by significant data complexity, large data
sets and the need for high performance, interactive use. An experimental
functional database language was developed to provide the requisite semantic
richness. However, heavy use in a practical context has shown that language
extensions and implementation improvements are required-especially in the
crucial areas of string matching and graph traversal. In addition, an
implementation on multiprocessor, parallel architectures is essential to meet the
performance needs arising from existing and projected database sizes in the
chosen application area. [Continues.
Process algebra approach to parallel DBMS performance modelling
Abstract unavailable please refer to PD
Towards an Intelligent Database System Founded on the SP Theory of Computing and Cognition
The SP theory of computing and cognition, described in previous publications,
is an attractive model for intelligent databases because it provides a simple
but versatile format for different kinds of knowledge, it has capabilities in
artificial intelligence, and it can also function like established database
models when that is required.
This paper describes how the SP model can emulate other models used in
database applications and compares the SP model with those other models. The
artificial intelligence capabilities of the SP model are reviewed and its
relationship with other artificial intelligence systems is described. Also
considered are ways in which current prototypes may be translated into an
'industrial strength' working system
RAID Organizations for Improved Reliability and Performance: A Not Entirely Unbiased Tutorial (1st revision)
RAID proposal advocated replacing large disks with arrays of PC disks, but as
the capacity of small disks increased 100-fold in 1990s the production of large
disks was discontinued. Storage dependability is increased via replication or
erasure coding. Cloud storage providers store multiple copies of data obviating
for need for further redundancy. Varitaions of RAID based on local recovery
codes, partial MDS reduce recovery cost. NAND flash Solid State Disks - SSDs
have low latency and high bandwidth, are more reliable, consume less power and
have a lower TCO than Hard Disk Drives, which are more viable for hyperscalers.Comment: Submitted to ACM Computing Surveys. arXiv admin note: substantial
text overlap with arXiv:2306.0876