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We designed multiple SISO feedback controllers to achieve desired CPU usages and memory consumptions under workload.
The reason for this difference is that, OCSO utilizes smaller numbers of VMs for considerable amount of time whilst smaller numbers of VMs would mean smaller amount of VM (idle) running overhead, which then produces a smaller total CPU usages.
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Then, the CPU share is calculated as the predicted CPU usage plus 10% of the CPU capacity, similar to previous work [12].
The idea of this definition is that application performance gets worse as the required CPU usage is near to the allocated CPU share.
CPU usage can be best assessed at peak times and thus peak CPU workload times.
For CPU occupancy measurements, we appropriately instrument NCRAWL with the Linux getrusage system call, which accurately estimates CPU usage time.
Reduce RPC thread CPU usage while not connected to a client.
Moreover, our algorithm allows inaccurate CPU usage estimation and only requires trivial modification on FCFS.
It does not act on the nice value or other priority stuff, but on the real cpu usage.
This chapter introduces hardware resource usage tuning, specifically dealing with central processing unit (CPU) usage, memory usage, and I/O usage.
These were small "supervisor programs" that provided basic I/O operations (such as controlling punch card readers and printers) and kept accounts of CPU usage for billing.
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