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Dependency Aware Incident Linking in Large Cloud Systems
In this paper, we propose the dependency-aware incident linking (DiLink) framework which leverages both textual and service dependency graph information to improve the accuracy and coverage of incident links not only coming from same service, but also from different services and workloads.
A thermodynamical approach towards multi-criteria decision making (MCDM)
We demonstrate that the ranking of the alternatives is more meaningful if we use exergy in place of energy.
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