From 06a7e2441fac06020cf3ffe6cbb35240dff084e0 Mon Sep 17 00:00:00 2001
From: "Julian M. Kunkel" <juliankunkel@googlemail.com>
Date: Tue, 24 Nov 2020 10:21:49 +0000
Subject: [PATCH] Comment

---
 paper/main.tex | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/paper/main.tex b/paper/main.tex
index 550fb0f..a6b8f53 100644
--- a/paper/main.tex
+++ b/paper/main.tex
@@ -84,6 +84,8 @@ DKRZ --
 \maketitle
 
 \begin{abstract}
+
+\todo{Rename algorithm according to JHPS paper, evtl. describe each algorithm with one sentence?}
 One goal of support staff at a data center is to identify inefficient jobs and to improve their efficiency.
 Therefore, a data center deploys monitoring systems that capture the behavior of the executed jobs.
 While it is easy to utilize statistics to rank jobs based on the utilization of computing, storage, and network, it is tricky to find patterns in 100.000 jobs, i.e., is there a class of jobs that aren't performing well.