June 29, 2022, 1:11 a.m. | Rahul Yedida, Rahul Krishna, Anup Kalia, Tim Menzies, Jin Xiao, Maja Vukovic

stat.ML updates on arXiv.org arxiv.org

Cloud-based software has many advantages. When services are divided into many
independent components, they are easier to update. Also, during peak demand, it
is easier to scale cloud services (just hire more CPUs). Hence, many
organizations are partitioning their monolithic enterprise applications into
cloud-based microservices.


Recently there has been much work using machine learning to simplify this
partitioning task. Despite much research, no single partitioning method can be
recommended as generally useful. More specifically, those prior solutions are
"brittle"; i.e. …

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