MERSEM uses evolutionary reinforcement learning to allocate graph workloads in edge-cloud systems, reducing SLA violations by up to 45% and carbon emissions by up to 12% versus prior methods.
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Sustainable Graph Analytics Workload Scheduling with Evolutionary Reinforcement Learning in Edge-Cloud Systems
MERSEM uses evolutionary reinforcement learning to allocate graph workloads in edge-cloud systems, reducing SLA violations by up to 45% and carbon emissions by up to 12% versus prior methods.