Virtualizing mixed-criticality systems: A survey on industrial trends and issues
Virtualization is gaining attraction in the industry as it promises a flexible way to integrate,
manage, and re-use heterogeneous software components with mixed-criticality levels, on a …
manage, and re-use heterogeneous software components with mixed-criticality levels, on a …
React: Enabling real-time container orchestration
Fog and edge computing offer the flexibility and decentralized architecture benefits of cloud
computing without suffering from the latency issues inherent in the cloud. This makes fog …
computing without suffering from the latency issues inherent in the cloud. This makes fog …
Rt-kubernetes: Containerized real-time cloud computing
This paper presents RT-Kubernetes, a software architecture with the ability to deploy real-
time software components within containers in cloud infrastructures. The deployment of …
time software components within containers in cloud infrastructures. The deployment of …
Self managed virtual machine scheduling in cloud systems
Abstract In Cloud systems, Virtual Machines (VMs) are scheduled to hosts according to their
instant resource usage (eg to hosts with most available RAM) without considering their …
instant resource usage (eg to hosts with most available RAM) without considering their …
Strong temporal isolation among containers in OpenStack for NFV services
In this article, the problem of temporal isolation among containerized software components
running in shared cloud infrastructures is tackled, proposing an approach based on …
running in shared cloud infrastructures is tackled, proposing an approach based on …
Rt-cases: Container-based virtualization for temporally separated mixed-criticality task sets
This paper presents the notion of real-time containers, or rt-cases, conceived as the
convergence of container-based virtualization technologies, such as Docker, and hard real …
convergence of container-based virtualization technologies, such as Docker, and hard real …
An online learning model based on episode mining for workload prediction in cloud
The resource provisioning is one of the challenging problems in the cloud environment. The
resources should be allocated dynamically according to the demand changes of the …
resources should be allocated dynamically according to the demand changes of the …
A sequential pattern mining model for application workload prediction in cloud environment
The resource provisioning is one of the challenging problems in the cloud environment. The
resources should be allocated dynamically according to the demand changes of the …
resources should be allocated dynamically according to the demand changes of the …
A reliability-aware resource provisioning scheme for real-time industrial applications in a Fog-integrated smart factory
Timeliness and reliability are two major requirements of industrial applications. Hence, these
two requirements should be carefully taken into account in design of a smart factory. Using a …
two requirements should be carefully taken into account in design of a smart factory. Using a …
Effective capacity modulation as an explicit control knob for public cloud profitability
In this article, we explore the efficacy of dynamic effective capacity modulation (ie, using
virtualization techniques to offer lower resource capacity than that advertised by the cloud …
virtualization techniques to offer lower resource capacity than that advertised by the cloud …