For example, as I write this on a Monday afternoon, the green/yellow/red indicators for average performance of the application are showing red for several West Coast locations in the CloudSleuth Global Provider View.
The performance of the application was evaluated using a set of 1000 gene-disease associations, which was generated using the 'The Human Phenotype Ontology' (HPO) (Kohler et al., 2014) dataset as a source for disease genes and associated phenotypes.
The successful performance of this application is achieved by the new definition of the set of independent variables, which permits the NSGA-II to optimize the selection of the elements to be reconnected.
While most of the models showed excellent results in improving the schedule and operation performance, most of the applications are off-line or post-evaluation.
Another foundation to guarantee the performance of these applications is the efficient data transmission.
Software testing techniques differ in the type of faults they are more prone to detect, and their performance varies depending on the features of the application being tested.
For example, in file sharing applications (e.g., Gnutella [3]), Skype voice streaming, and live video streaming applications [15], the performance of these applications is improved through assigning nodes with high network bandwidth, long on-line time, or high processing capability as super-peers.
The overall performance of each application is quantified in Table 1.
The enhancement of thermal performance of cold application is under investigation and implementing thermal energy storage (TES) systems by using phase change materials (PCM) is one of the solutions to better storage.
