Performance and Cost Analysis between Elasticity Strategies over Pipeline-structured Applications

ML-driven classification scheme for dynamic interference-aware resource scheduling in cloud infrastructures

“…A cloud system can offer this set of capabilities by the benefit of virtualization techniques, executing multiple virtual instances placed on different physical machines, located in data centers [4]. This strategy allows cloud computing providers to use their infrastructure more accomplished through heuristics, such as bin-packing, which considers only resource capacity aspects, overlooking their source of overhead [12,13].…”

An Interference-Aware Application Classifier Based on Machine Learning to Improve Scheduling in Clouds

“…Traditionally, resource scheduling in cloud computing is based on heuristics such as bin-packing which considers resource capacity [4], [5]. In previous work [6], we have introduced an interference-aware scheduling model for web-applications.…”