Multivariate time series synthesis using generative adversarial networks
M Leznik, P Michalsky, P Willis, B Schanzel… - Proceedings of the …, 2021 - dl.acm.org
Collection and analysis of distributed (cloud) computing workloads allows for a deeper
understanding of user and system behavior and is necessary for efficient operation of …
understanding of user and system behavior and is necessary for efficient operation of …
Extending OpenStack Monasca for Predictive Elasticity Control
Traditional auto-scaling approaches are conceived as reactive automations, typically
triggered when predefined thresholds are breached by resource consumption metrics …
triggered when predefined thresholds are breached by resource consumption metrics …
Workload diffusion modeling for distributed applications in fog/edge computing environments
This paper addresses the problem of workload generation for distributed applications in
fog/edge computing. Unlike most existing work that tends to generate workload data for …
fog/edge computing. Unlike most existing work that tends to generate workload data for …