Abstract: One embodiment provides a method, including: producing, for each of a plurality of containers, a resource profile for each thread in each of the plurality of containers; identifying, for each of the plurality of containers and from, at least in part, the resource profiles, container dependencies between threads on a single of the plurality of containers; determining service dependencies between threads across different of the plurality of containers; scheduling, based upon the container dependencies and the service dependencies, threads to cores, wherein the scheduling is based upon minimizing thread processing times; and publishing the container dependencies and the service dependencies on a registry of the node clusters.

Abstract: Edge application deployment in a network is provided. The network includes a plurality of edge sites with edge computing infrastructure. Edge application deployment is performed, including deploying a pseudo application instance (pApp) of the edge application at each edge site of a first group of edge sites of the plurality of edge sites, and deploying a real application instance (rApp) of the edge application at each edge site of a second group of one or more edge sites of the plurality of edge sites. The pApp is a lightweight, application-specific instance of the rApp with less application functionality than the rApp. Further, the first group of edge sites is larger than the second group, and a user device interaction with the edge application is through a selected pApp of the first group of edge sites to an rApp of the second group.

Abstract: Edge application deployment in a network is provided. The network includes a plurality of edge sites with edge computing infrastructure. Edge application deployment is performed, including deploying a pseudo application instance (pApp) of the edge application at each edge site of a first group of edge sites of the plurality of edge sites, and deploying a real application instance (rApp) of the edge application at each edge site of a second group of one or more edge sites of the plurality of edge sites. The pApp is a lightweight, application-specific instance of the rApp with less application functionality than the rApp. Further, the first group of edge sites is larger than the second group, and a user device interaction with the edge application is through a selected pApp of the first group of edge sites to an rApp of the second group.

Abstract: An ensemble of autoencoder models can be trained using different seeds. The trained ensemble of autoencoder models can be run on new time series data to generate a prediction associated with the new time series data. The new time series data can include multiple dimensions per time step. Reconstruction errors can be determined for the prediction. Dimensions having highest reconstruction errors can be selected among the multiple dimensions based on a threshold. The prediction can be segmented based on bursts of the reconstruction errors over time, where temporal segments can be obtained. At least one common pattern including a set of dimensions among the selected dimensions across the temporal segments can be obtained to represent a failure fingerprint.

Abstract: An ensemble of autoencoder models can be trained using different seeds. The trained ensemble of autoencoder models can be run on new time series data to generate a prediction associated with the new time series data. The new time series data can include multiple dimensions per time step. Reconstruction errors can be determined for the prediction. Dimensions having highest reconstruction errors can be selected among the multiple dimensions based on a threshold. The prediction can be segmented based on bursts of the reconstruction errors over time, where temporal segments can be obtained. At least one common pattern including a set of dimensions among the selected dimensions across the temporal segments can be obtained to represent a failure fingerprint.