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+# Assignment Proposal
+
+## Title
+
+Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform: An AIOps Solution
+
+## Names and KTH ID
+
+- Emir Catir (catir@kth.se)
+- Robin Claesson (robcla@kth.se)
+
+## Deadline
+
+- Week 4
+
+## Category
+
+- Scientific Paper
+
+## Description
+
+The paper "[Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform: An AIOps Solution](https://dl.acm.org/doi/abs/10.1145/3385187)" describes the process of building an ultralarge-scale AIOps solution to combat the challenges cloud computing environments face. The process is thoroughly described and reviewed by the authors.
+
+**Relevance**
+
+This research is relevant to DevOps because it brings a perspective on how DevOps can leverage AI to improve resilience by reducing downtime with the help of automed node failure detection.