公开(公告)号：US12045664B1

公开(公告)日：2024-07-23

申请号：US17206562

申请日：2021-03-19

Applicant: Amazon Technologies, Inc.

Inventor： Siyu Wang ,  Chia-Yu Kao ,  Leslie Johann Lamprecht ,  Qijia Chen ,  Letian Feng

IPC: G06F9/455 ,  G06F9/50

CPC classification number: G06F9/5077 ,  G06F9/45558 ,  G06F2009/4557 ,  G06F2009/45595

Abstract: Techniques for a cloud-based workload optimization service to identify customer workloads that are optimized to run on burstable instance types. The techniques include identifying workloads that are successfully running on burstable instance types, and using historical-utilization data for those workloads to train classification models. The optimization service can extract feature data from the historical-utilization data, where the feature data represents utilization characteristics that are indicative of burstable workloads. The feature data is then used to train classification models to receive utilization data for candidate workloads, and determine whether the candidate workloads would be optimized for burstable instance types. The optimization service can then migrate suitable workloads to burstable instance types, and/or provide users with recommendations that their workloads are optimized or suitable for burstable instance types.

公开(公告)号：US11269718B1

公开(公告)日：2022-03-08

申请号：US16915993

申请日：2020-06-29

Applicant: Amazon Technologies, Inc.

Inventor： Qijia Chen ,  Alexander Zimin ,  Nam Khanh Tran ,  Paul M. Vazquez ,  Laurent Callot ,  Meredith Paige Kiessling ,  Joel Dan Castellon Arevalo

IPC: G06F11/07 ,  G06F11/34 ,  G06F9/54 ,  G06F11/30

Abstract: Methods, systems, and computer-readable media for automatically detecting root causes of anomalies occurring in information technology (IT) systems are disclosed. In some embodiments, data of a service graph depicting dependencies between nodes or services of the IT infrastructure is traversed to determine propagation patterns of anomaly symptoms/alarms through the IT infrastructure. Also, a causal inference model is used to determine probabilities that an observed propagation pattern corresponds to a stored propagation pattern, wherein a close correspondence indicates that the current anomaly is likely caused by a similar root cause as a past anomaly that caused the stored propagation pattern.