Analyzing real cluster data for formulating allocation algorithms in cloud platforms
We analyze a large cluster trace released by Google. We provide information about static and dynamic features of dominant jobs. We show that memory usage of tasks is independent of CPU usage for most jobs. We analyze the independence of machine failures. Based on this analysis, we propose several algorithmic formulations for allocation problems.
cloud computing data analysis parallel jobs