Real-Time Containers: A Survey

Container-based virtualization has gained a significant importance in a deployment of software applications in cloud-based environments. The technology fully relies on operating system features and does not require a virtualization layer (hypervisor) that introduces a performance degradation. Container-based virtualization allows to co-locate multiple isolated containers on a single computation node as well as to decompose an application into multiple containers distributed among several hosts (e.g., in fog computing layer). Such a technology seems very promising in other domains as well, e.g., in industrial automation, automotive, and aviation industry where mixed criticality containerized applications from various vendors can be co-located on shared resources. However, such industrial domains often require real-time behavior (i.e, a capability to meet predefined deadlines). These capabilities are not fully supported by the container-based virtualization yet. In this work, we provide a systematic literature survey study that summarizes the effort of the research community on bringing real-time properties in container-based virtualization. We categorize existing work into main research areas and identify possible immature points of the technology

Rule-Based Security Monitoring of Containerized Environments

Containers have to be secured in a multi-tenant environment. To secure the use of containerized environments, the effectiveness of a rule-based security monitoring approach have been investigated. The approach of this paper can be used to detect a wide range of potentially malicious behaviour of workloads in containerized environments. Additionally is able to monitor the actual container runtime for misuse and misconfiguration. In order to evaluate the detection capabilities of the open-source tools utilized in a container, various scenarios of undesired behaviour are closely examined. In addition, the performance overhead and functional limitations associated with workload monitoring are discussed. The proposed approach is effective in many of the scenarios examined and its performance overhead is adequate, if appropriate event filtering is applied

CONSERVE: A framework for the selection of techniques for monitoring containers security

Context:\ua0Container-based virtualization is gaining popularity in different domains, as it supports continuous development and improves the efficiency and reliability of run-time environments.\ua0Problem:\ua0Different techniques are proposed for monitoring the security of containers. However, there are no guidelines supporting the selection of suitable techniques for the tasks at hand.\ua0Objective:\ua0We aim to support the selection and design of techniques for monitoring container-based virtualization environments.\ua0Approach: First, we review the literature and identify techniques for monitoring containerized environments. Second, we classify these techniques according to a set of categories, such as technical characteristic, applicability, effectiveness, and evaluation. We further detail the pros and cons that are associated with each of the identified techniques.\ua0Result:\ua0As a result, we present CONSERVE, a multi-dimensional decision support framework for an informed and optimal selection of a suitable set of container monitoring techniques to be implemented in different application domains.\ua0Evaluation:\ua0A mix of eighteen researchers and practitioners evaluated the ease of use, understandability, usefulness, efficiency, applicability, and completeness of the framework. The evaluation shows a high level of interest, and points out to potential benefits