Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective
Mobile Edge Computing (MEC) is considered an essential future service for the
implementation of 5G networks and the Internet of Things, as it is the best method of …
implementation of 5G networks and the Internet of Things, as it is the best method of …
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 …
Horizontal and vertical scaling of container-based applications using reinforcement learning
Software containers are changing the way distributed applications are executed and
managed on cloud computing resources. Interestingly, containers offer the possibility of …
managed on cloud computing resources. Interestingly, containers offer the possibility of …
Geo-distributed efficient deployment of containers with kubernetes
Software containers are changing the way applications are designed and executed.
Moreover, in the last few years, we see the increasing adoption of container orchestration …
Moreover, in the last few years, we see the increasing adoption of container orchestration …
The state‐of‐the‐art in container technologies: Application, orchestration and security
E Casalicchio, S Iannucci - Concurrency and Computation …, 2020 - Wiley Online Library
Containerization is a lightweight virtualization technology enabling the deployment and
execution of distributed applications on cloud, edge/fog, and Internet‐of‐Things platforms …
execution of distributed applications on cloud, edge/fog, and Internet‐of‐Things platforms …
ElasticFog: Elastic resource provisioning in container-based fog computing
The recent increase in the number of Internet of Things (IoT) devices has led to the
generation of a large amount of data. These data are generally processed by cloud servers …
generation of a large amount of data. These data are generally processed by cloud servers …
Load-balancing of kubernetes-based edge computing infrastructure using resource adaptive proxy
Kubernetes (K8s) is expected to be a key container orchestration tool for edge computing
infrastructures owing to its various features for supporting container deployment and …
infrastructures owing to its various features for supporting container deployment and …
DSTS: A hybrid optimal and deep learning for dynamic scalable task scheduling on container cloud environment
S Muniswamy, R Vignesh - Journal of Cloud Computing, 2022 - Springer
Containers have grown into the most dependable and lightweight virtualization platform for
delivering cloud services, offering flexible sorting, portability, and scalability. In cloud …
delivering cloud services, offering flexible sorting, portability, and scalability. In cloud …
Container-based bioinformatics with Pachyderm
JA Novella, P Emami Khoonsari, S Herman… - …, 2019 - academic.oup.com
Motivation Computational biologists face many challenges related to data size, and they
need to manage complicated analyses often including multiple stages and multiple tools, all …
need to manage complicated analyses often including multiple stages and multiple tools, all …
Dynamic multi-metric thresholds for scaling applications using reinforcement learning
Cloud-native applications increasingly adopt the microservices architecture, which favors
elasticity to satisfy the application performance requirements in face of variable workloads …
elasticity to satisfy the application performance requirements in face of variable workloads …