Publication | Open Access
Autopilot
252
Citations
32
References
2020
Year
Unknown Venue
Resource OrchestrationEngineeringCloud Resource ManagementOperations ResearchData ScienceManagementBig DataCapacity ManagementPrivate Cloud SystemsAuto-scalingJob NeedsComputer ScienceCpu CoresEdge ComputingCloud ComputingBusinessResource AllocationWorkload ManagementResource Optimization
In many public and private Cloud systems, users need to specify a limit for the amount of resources (CPU cores and RAM) to provision for their workloads. A job that exceeds its limits might be throttled or killed, resulting in delaying or dropping end-user requests, so human operators naturally err on the side of caution and request a larger limit than the job needs. At scale, this results in massive aggregate resource wastage.
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