Abstract: A system and method for attributing the performance of an organization employee or team to events in the employees' career record and predicting future performance. The system acquires historical career record data comprising data of an employee or team of employees, including key performance indexes (KPIs) of the employee/team; finds at least one signpost—an individual data point or group of data points in the career record data having a comparatively high correlation with one of the KPIs of the employee/team or with increases/decreases of the KPI; monitors the career record for new occurrences of the signposts; predicts the KPI or whether the KPI will increase/decrease as a function of the occurrence of the signpost, and transmits the predicted KPI or increase/decrease thereof and its attribution to the occurrence of the signpost to a data consumer. In some embodiments, the system provides prescriptive measures for improving future performance.

Abstract: A method for managing content in a network having one or more user devices and one or more edge computing systems includes determining a likelihood that a user device will connect to an edge computing system during a time window, based on the determined likelihood, storing on the edge computing system information reflecting an activity pattern associated with the user device, receiving a request for content from the user device, generating metadata based on the stored information and the request, and transmitting the metadata to the user device.

Abstract: A method for managing content in a network having one or more user devices and one or more edge computing systems includes determining a likelihood that a user device will connect to an edge computing system during a time window, based on the determined likelihood, storing on the edge computing system information reflecting an activity pattern associated with the user device, receiving a request for content from the user device, generating metadata based on the stored information and the request, and transmitting the metadata to the user device.

Abstract: Client and cloud synchronization may be provided. First, a request may be received. Then the request may be labeled with a package metadata tag yielding a labeled request. The package metadata tag may identify a package assigned to a client device corresponding to the request. Next, the labeled request may be routed to a version of a first cloud service component based on the package metadata tag. The labeled request may then be routed from the version of the first cloud service component to a version of a second cloud service component based on the package metadata tag.

Abstract: Client and cloud synchronization may be provided. First, a request may be received. Then the request may be labeled with a package metadata tag yielding a labeled request. The package metadata tag may identify a package assigned to a client device corresponding to the request. Next, the labeled request may be routed to a version of a first cloud service component based on the package metadata tag. The labeled request may then be routed from the version of the first cloud service component to a version of a second cloud service component based on the package metadata tag.

Abstract: Cloud image rendering may be provided. First, a first request for a multi-layered image may be received. Then, the requested multi-layered image may be rendered on a cloud computing system. The rendered multi-layered image may then be sent to a first requestor corresponding to the first request. Next, the rendered multi-layered image may be cached on a cache located on the cloud computing system. A second request for the multi-layered image may then be received. In response, the rendered multi-layered image may be sent to a second requestor corresponding to the second request from the cache located on the cloud computing system.