Abstract: A method, apparatus and computer program product for scheduling placement of containers in association with a set of hosts. The technique utilizes metrics that characterize container-specific risks. A first metric is a host interface risk for a container that quantifies how similar or dissimilar the container is relative to other containers running on a host. Preferably, host interface risk is derived with respect to a system call interface comprising a set of system calls, and the metric is based at least in part on a measure of dissimilarity among system calls. A second metric is a data sensitivity score that quantifies a degree to which sensitive data accesses are associated to the container. Based at least in part on the host interface risk scores and the data sensitivity scores, one or more containers are automatically scheduled for placement on the set of hosts to minimize security risk for the set of hosts.

Abstract: A potential prognostic biomarker is based on a combination of a composite score generated by sequence analysis of global human endogenous retrovirus (hERV)/retro-transposon transactivation and a cell signature generated using deconvolution of immune cells within a tumor sample for predicting the efficacy of chemotherapeutic agents and immune checkpoint inhibitors. Correlation analysis of the composite score with cell signature within a tumor sample enables survival analysis in individuals receiving chemotherapeutic agents and immune checkpoint inhibitors.