Abstract: In microservices, requests’ workflows with the complex dependency graphs pose challenges to auto-scaling strategies. This paper presents QueueFlower, an adaptive and dependency- agnostic ...

Abstract: Simultaneously optimizing monetary cost and makespan of workflow execution is substantial to enhance the competitiveness of cloud services, but it still imposes challenges. Heuristics-based ...

While automation promises a future where robots can do work around the clock, seven days a week, without tiring, downtime caused by unexpected issues still holds us back from that future. Festo this ...

AI-driven TMS tools are transforming dispatch, routing, and load planning for faster, data-based decisions. Fleets are shifting from manual systems to cloud-based TMS for real-time visibility and cost ...