Kubernetes scheduling: Taxonomy, ongoing issues and challenges
C Carrión - ACM Computing Surveys, 2022 - dl.acm.org
Continuous integration enables the development of microservices-based applications using
container virtualization technology. Container orchestration systems such as Kubernetes …
container virtualization technology. Container orchestration systems such as Kubernetes …
[HTML][HTML] Container scheduling techniques: A survey and assessment
Containers have emerged as the most promising lightweight virtualization technology in
providing cloud services due to its flexible deployment, portability, and scalability especially …
providing cloud services due to its flexible deployment, portability, and scalability especially …
Custom scheduling in Kubernetes: A survey on common problems and solution approaches
Z Rejiba, J Chamanara - ACM Computing Surveys, 2022 - dl.acm.org
Since its release in 2014, Kubernetes has become a popular choice for orchestrating
containerized workloads at scale. To determine the most appropriate node to host a given …
containerized workloads at scale. To determine the most appropriate node to host a given …
A survey of Kubernetes scheduling algorithms
As cloud services expand, the need to improve the performance of data center infrastructure
becomes more important. High-performance computing, advanced networking solutions …
becomes more important. High-performance computing, advanced networking solutions …
Cost-aware real-time job scheduling for hybrid cloud using deep reinforcement learning
L Cheng, A Kalapgar, A Jain, Y Wang, Y Qin… - Neural Computing and …, 2022 - Springer
Hybrid cloud computing enables enterprises to get the best of both private and public cloud
models. One of its primary benefits is to reduce operational costs, and the prerequisite is that …
models. One of its primary benefits is to reduce operational costs, and the prerequisite is that …
Elastic resource management for deep learning applications in a container cluster
The increasing demand for learning from massive datasets is restructuring our economy.
Effective learning, however, involves nontrivial computing resources. Most businesses utilize …
Effective learning, however, involves nontrivial computing resources. Most businesses utilize …
Energy, performance and cost efficient cloud datacentres: A survey
Abstract In major Information Technology (IT) companies such as Google, Rackspace and
Amazon Web Services (AWS), virtualization and containerization technologies are usually …
Amazon Web Services (AWS), virtualization and containerization technologies are usually …
Cloud-native computing: A survey from the perspective of services
The development of cloud computing delivery models inspires the emergence of cloud-
native computing. Cloud-native computing, as the most influential development principle for …
native computing. Cloud-native computing, as the most influential development principle for …
Speculative container scheduling for deep learning applications in a kubernetes cluster
In the past decade, we have witnessed a dramatically increasing volume of data collected
from various sources. To maximize utilization, various machine and deep learning models …
from various sources. To maximize utilization, various machine and deep learning models …
Task offloading of deep learning services for autonomous driving in mobile edge computing
As the utilization of complex and heavy applications increases in autonomous driving,
research on using mobile edge computing and task offloading for autonomous driving is …
research on using mobile edge computing and task offloading for autonomous driving is …