公开(公告)号：US20230297438A1

公开(公告)日：2023-09-21

申请号：US17699296

申请日：2022-03-21

Applicant: SAP SE

Inventor： Rouven Krebs ,  Maximilian Stefanac ,  Waldemar Firus

IPC: G06F9/50 ,  G06F11/34

CPC classification number: G06F9/5077 ,  G06F9/5022 ,  G06F11/3423 ,  G06F2209/5019

Abstract: Methods, systems, and computer-readable storage media for receiving a set of timeseries, each timeseries in the set of timeseries representing a parameter of execution of the system, pre-processing each timeseries in the set of timeseries to provide a set of pre-processed timeseries, merging timeseries in the set of timeseries to provide a merged timeseries, generating a consolidated timeseries based on the merged timeseries and a periodicity, deriving a pattern based on the consolidated time series, the pattern defining a scaling factor for each period in a timeframe, and executing, by an instance manager, scaling of the system based on the pattern to selectively scale one or more of instances of the system and controllable resources based on scaling factors of the pattern.

公开(公告)号：US20230409411A1

公开(公告)日：2023-12-21

申请号：US17837211

申请日：2022-06-10

Applicant: SAP SE

Inventor： Andreas Reischmann ,  Lena Rohde ,  Felix Fischer ,  Maximilian Tomislav Stefanac ,  Waldemar Firus ,  Rouven Krebs

IPC: G06F9/50 ,  G06F9/48

CPC classification number: G06F9/5083 ,  G06F9/505 ,  G06F9/4887

Abstract: Methods, systems, and computer-readable storage media for receiving a set of timeseries, each timeseries in the set of timeseries representing a parameter of execution of the system, resampling data of at least one timeseries to provide data of all timeseries in the set of timeseries in a consistent format, generating a pattern for each timeseries to provide a set of patterns based on data of the set of timeseries, combining patterns of the set of patterns to define a pattern, the pattern representing a schedule of instances over a period of time, and executing, by an instance manager, scaling of the system based on the pattern to selectively scale one or more of instances of the system and controllable resources based on scaling factors of the pattern.