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We present in this paper a novel method to predict application runtimes on backfilling parallel systems. The method is based on mining historical data to obtain important parameters. These parameters are then applied to predict the runtime of future applications. It has been shown in previous works that both underestimate and inaccuracy in prediction have adverse impacts on scheduling performance...
The challenges being thrown to modern world by the need to counteract against malicious software (malware) are going on to increase own importance. This fact stays actual, in spite of obvious great results in improving the efficacy of procedures of malware propagation detection, analysis and updating the bases of signatures and detection rules. The important aspect of this problem is looking for more...
Efficient processing of similarity joins is important for a large class of data analysis and data-mining applications. This primitive finds all pairs of records within a predefined distance threshold of each other. However, most of the existing approaches have been based on spatial join techniques designed primarily for data in a vector space. Treating data collections as metric objects brings a great...
The evolution towards cross-organizational collaboration and interaction patterns has led to the emergence of scalable, Web services-based composition infrastructures. The success of service-oriented architecture (SOA) was mainly influenced by the standardization of composition languages such as BPEL. However, compositions require humans to be in the loop and ways to interface with people in a service-oriented...
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