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公开(公告)号:US12236254B1
公开(公告)日:2025-02-25
申请号:US17304334
申请日:2021-06-18
Applicant: Amazon Technologies, Inc.
Inventor: Alexey Gadalin , Alexander Gregory Bestavros , Ethan John Faust , Anton Valter , Yuxuan Liu
Abstract: This disclosure describes techniques for increasing the baseline performance of a burstable instance to an increased performance level for a limited time period. For example, a user may schedule a time period which the burstable instance has access to 100% of a CPU, instead of competing with other burstable instances even during periods of bursting as in prior techniques. In some cases, the user uses credits to reserve the time periods at which the increased performance level is requested. After receiving the reservation, a resource system selects computing resources to host the burstable instance such that the burstable instance, can operate at the requested increased performance level. After the time period has ended, the burstable instance may return to the baseline performance level.
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公开(公告)号:US11886926B1
公开(公告)日:2024-01-30
申请号:US17117321
申请日:2020-12-10
Applicant: Amazon Technologies, Inc.
Inventor: Alexey Gadalin , Alexander Gregory Bestavros , Anton Valter , Ethan John Faust , Roland Paterson-Jones
CPC classification number: G06F9/5077 , G06F9/45558 , G06F9/4856 , G06F11/3409 , G06F2009/4557
Abstract: Techniques and technologies for migrating workloads between different VM instance types based on changes in resource utilization over a period of time. Selecting one VM instance type to host workloads can result in use of a VM instance type that is optimized for the workload during one timeframe of a period of time, but is over-provisioned or under-provisioned for the workload during another timeframe of a period of time. Accordingly, a service provider network may analyze historical utilization patterns of workloads over a period of time, and identify different VM instance types that are optimized for the workloads during different timeframes of the period of time. The service provider network may then cause the workloads to be migrated between the different VM instance types over the period of time such that the workloads are hosted on VM instances that are optimized for the current resource utilization of the workloads.
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