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QoS-Aware and Resource Efficient Microservice Deployment in Cloud-Edge Continuum., , , , , , и . IPDPS, стр. 932-941. IEEE, (2021)QoS-awareness of Microservices with Excessive Loads via Inter-Datacenter Scheduling., , , , , и . IPDPS, стр. 324-334. IEEE, (2022)CHARM: Collaborative Host and Accelerator Resource Management for GPU Datacenters., , , , , , и . ICCD, стр. 307-315. IEEE, (2021)Astraea: towards QoS-aware and resource-efficient multi-stage GPU services., , , , , , и . ASPLOS, стр. 570-582. ACM, (2022)Laius: Towards latency awareness and improved utilization of spatial multitasking accelerators in datacenters., , , , , , , и . ICS, стр. 58-68. ACM, (2019)QoS-Aware Irregular Collaborative Inference for Improving Throughput of DNN Services., , , , , , и . SC, стр. 69:1-69:14. IEEE, (2022)Nodens: Enabling Resource Efficient and Fast QoS Recovery of Dynamic Microservice Applications in Datacenters., , , , , и . USENIX Annual Technical Conference, стр. 403-417. USENIX Association, (2023)Characterizing and orchestrating VM reservation in geo-distributed clouds to improve the resource efficiency., , , , , , , , и . SoCC, стр. 94-109. ACM, (2022)BLAD: Adaptive Load Balanced Scheduling and Operator Overlap Pipeline For Accelerating The Dynamic GNN Training., , , , , и . SC, стр. 37:1-37:13. ACM, (2023)