Robert Birke, Andrej Podzimek, et al.
IEEE TNSM
Motivated by the increasing popularity of hosting in-memory big-data analytics in cloud, we present a profiling methodology that can understand how different memory subsystems, i.e., cache and memory bandwidth, are susceptible to the impact of interference from co-located applications. We first describe the design of the proposed tool and demonstrate a case study consisting of five Spark applications on real-life data set.
Robert Birke, Andrej Podzimek, et al.
IEEE TNSM
Mathias Bjorkqvist, Robert Birke, et al.
NOMS 2016
Yijun Ying, Robert Birke, et al.
ICAC 2015
Joel Vallone, Robert Birke, et al.
IWQoS 2015