Using new scheduling heuristics based on resource consumption information for increasing throughput on rule‐based spam filtering systems. (5th July 2015)

• Record Type: Journal Article
• Authors: Ruano‐Ordás, David; Fdez‐Glez, Jorge; Fdez‐Riverola, Florentino; Méndez, José Ramón
• Is Part Of: Software, practice & experience. Volume 46:Number 8(2016)
• Page Start: 1035
• Page End: 1051
• Publication Date: 2015-07-05
• Subjects: rule optimization schedulers -- increasing filtering throughput -- spam detection -- anti‐spam filtering platforms -- resource consumption‐based heuristics -- Wirebrush4SPAM framework; Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.2343
• Languages: English
• ISSNs: 0038-0644

Abstract

Summary: The large increase of spam deliveries since the first half of 2013 entailed hard to solve troubles in spam filters. In order to adequately fight spam, the throughput of spam filtering platforms should be necessarily increased. In this context, and taking into consideration the widespread utilization of rule‐based filtering frameworks in the spam filtering domain, this work proposes three novel scheduling strategies for optimizing the time needed to classify new incoming e‐mails through an intelligent management of computational resources depending on the Central Processing Unit (CPU) usage and Input/Output (I/O) delays. In order to demonstrate the suitability of our approaches, we include in our experiments a comparative study in contrast to other successful heuristics previously published in the scientific literature. Results achieved demonstrated that one of our alternative heuristics allows time savings of up to 10% in message filtering, while keeping the same classification accuracy. Copyright © 2015 John Wiley & Sons, Ltd.