Containers and Cloud: From LXC to Docker to Kubernetes

By D. Bernstein. IEEE Cloud Computing, 2014

1,068 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f125b540d7453eb58d38f933588f4b80c80959f2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

Citations in the corpus

Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications (2019, background): “First, the coarse-grained, one-at-a-time GPU allocation model1 hinders the scheduling ability of GPU cluster managers (Gu et al., 2019; Xiao et al., 2018; Hindman et al., 2011; Bernstein, 2014; Vavilapalli et al., 2013; Dutta & Huang, 2019; NVIDIA, 2020b).”
Cloud Container Technologies: A State-of-the-Art Review (2019, methodology): “Recent Linux distributions-part of the Linux container project LXC-provide kernel mechanisms such as namespaces and cgroups to isolate processes on a shared operating system [S5].”
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey (2019, background): “Kubernetes is as a mainstream container-centric system for the deployment, maintenance, and scaling of applications in cloud computing [55].”
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats (2020, background): “centers and other production environments that perform well-deﬁned tasks, which are frequently the target of attacks [22], [74], [106]. Hosts that exhibit more diverse behaviors, such as workstations [18], pose a greater challenge for IDS in general. Modern provenance capture systems (e.g., CamFlow)”
Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study (2017, methodology): “First, FNs are deployed in the access network, and the Device-Fog distance is typically limited up to one hop.”
Osmotic Computing: A New Paradigm for Edge/Cloud Integration (2016, methodology): “For example, Docker [4] provides container-based virtualization, initially based on Linux Containers (LXC), that can completely encapsulate an”
The rise of serverless computing (2019, methodology): “To isolate the execution of functions from different users in a multi-tenant environment, container technologies [22], such as Docker, are often used.”