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We report significant enhancement in the electronic properties of nickel phthalocyanine (NiPc) by attaching a potassium-tetrasulpho functional group to synthesize its water soluble derivative nickel (II)4,4′,4″,4'″potassium-tetrasulphophthalocyanine (K 4 NiTSPc). To study the potential of this organic compound for electronics applications, Au/K4NiTSPc/Ag diodes have been fabricated and their...
The antimicrobial activity of two new series of bis-piperidinium compounds, with alkyl chains of dierent length, against bacterial (Escheri- chia coli, Pseudomonas aeruginosa, Staphylococcus aureus and Bacillus subtilis) and fungal strains (Aspergillus !avus, Aspergillus niger, Rhodolorula rubera, Lipomyces lopofera and Candida albicans), are described. Antimicrobial activities of the synthesized...
Self-adaptive and self-organizing systems must be self-monitoring. Recent research has shown that self-monitoring can be enabled by using correlations between monitoring variables (metrics). However, computer systems often make a very large number of metrics available for collection. Collecting them all not only reduces system performance, but also creates other overheads related to communication,...
Modern software systems expose management metrics to help track their health. Recently, it was demonstrated that correlations among these metrics allow faults to be detected and their causes localized. In particular, linear regression models have been used to capture metric correlations. We show that for many pairs of correlated metrics in software systems, such as those based on Java Enterprise Edition...
Management metrics of complex software systems exhibit stable correlations which can enable fault detection and diagnosis. Current approaches use specific analytic forms, typically linear, for modeling correlations. In this paper we use normalized mutual information as a similarity measure to identify clusters of correlated metrics, without knowing the specific form. We show how we can apply the Wilcoxon...
A correctly functioning enterprise-software system exhibits long-term, stable correlations between many of its monitoring metrics. Some of these correlations no longer hold when there is an error in the system, potentially enabling error detection and fault diagnosis. However, existing approaches are inefficient, requiring a large number of metrics to be monitored and ignoring the relative discriminative...
Autonomic systems require continuous self-monitoring to ensure correct operation. Available monitoring data exists in a variety of formats, including log files, performance counters, traces, and state and configuration parameters. Such heterogeneity, together with the extremely large volume of data that could be collected, makes analysis very complex. To allow for more-effective problem determination,...
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