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- ArticleJune 2014
Using Inter-file Similarity to Improve Intra-file Compression
BIGDATACONGRESS '14: Proceedings of the 2014 IEEE International Congress on Big DataPages 192–199https://doi.org/10.1109/BigData.Congress.2014.35In storage systems with vast numbers of files, compression techniques should exploit of inter-file similarity, while allowing for near-atomic access to individual files. In differential compression, collections of files are compressed by identifying ...
- ArticleJune 2014
Storing a Collection of Differentially Compressed Files Recursively
BIGDATACONGRESS '14: Proceedings of the 2014 IEEE International Congress on Big DataPages 88–95https://doi.org/10.1109/BigData.Congress.2014.22A collection of files can be compressed by storing each file in the collection as a delta file: one file refers to several other files. The copy instructions in a delta file could reference other files either in their encoded forms or in their (original)...
- research-articleJanuary 2014
Scalability in recursively stored delta compressed collections of files
The archiving and maintenance of vast quantities of data is a key challenge for the current use of information technology. When storing large repositories, possibly mirrored at multiple sites, an archiving system aims to reduce both storage and ...
- research-articleNovember 2011
A similarity measure for time, frequency, and dependencies in large-scale workloads
SC '11: Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and AnalysisArticle No.: 43, Pages 1–11https://doi.org/10.1145/2063384.2063441Performance evaluations of large-scale systems require the use of representative workloads with certifiable similar or dissimilar characteristics. To quantify the similarity of the characteristics, we describe a novel measure comprising two efficient ...
- ArticleMay 2010
Identification, Modelling and Prediction of Non-periodic Bursts in Workloads
CCGRID '10: Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid ComputingPages 485–494https://doi.org/10.1109/CCGRID.2010.118Non-periodic bursts are prevalent in workloads of large scale applications. Existing workload models do not predict such non-periodic bursts very well because they mainly focus on repeatable base functions. We begin by showing the necessity to include ...
- ArticleDecember 2009
Stream Monitoring in Large-Scale Distributed Concealed Environments
E-SCIENCE '09: Proceedings of the 2009 Fifth IEEE International Conference on e-SciencePages 156–163https://doi.org/10.1109/e-Science.2009.30We present a probabilistic tracing method that captures both user and system behaviour for large-scale distributed applications. Our method extends the notion of data stream monitoring to work within what we define as concealed environments. We detail ...
- ArticleFebruary 2007
Structured genetic algorithm representations for neural network evolution
Evolutionary Algorithms used to generate Artificial Neural Networks have relied on both binary and real value representation approaches to encode connection weights in the chromosomes. This paper documents a study which examined how the utilisation of ...
- ArticleDecember 2005
Investigating the effect of incorporating additional levels in structured genetic algorithms
AI'05: Proceedings of the 18th Australian Joint conference on Advances in Artificial IntelligencePages 1101–1107https://doi.org/10.1007/11589990_148This paper reports on a study which compared the convergence of different-leveled structured Genetic Algorithms (sGAs) used to generate Neural Networks (NNs). Results suggest that sGAs are more effective at generating NNs compared to simple GAs. Using ...
