A review of edge computing: Features and resource virtualization
With the advent of Internet of Things (IoT) connecting billions of mobile and stationary
devices to serve real-time applications, cloud computing paradigms face some significant …
devices to serve real-time applications, cloud computing paradigms face some significant …
Research on auto-scaling of web applications in cloud: survey, trends and future directions
Cloud computing emerging environment attracts many applications providers to deploy web
applications on cloud data centers. The primary area of attraction is elasticity, which allows …
applications on cloud data centers. The primary area of attraction is elasticity, which allows …
Dynamic network slice scaling assisted by prediction in 5G network
J Zhou, W Zhao, S Chen - IEEE Access, 2020 - ieeexplore.ieee.org
Network slicing is a key technology in fifth-generation (5G) mobile networks. Slicing divides
a physical network into multiple dedicated logical networks to meet the requirements of …
a physical network into multiple dedicated logical networks to meet the requirements of …
K-agrued: A container autoscaling technique for cloud-based web applications in kubernetes using attention-based gru encoder-decoder
J Dogani, F Khunjush, M Seydali - Journal of Grid Computing, 2022 - Springer
Cloud service providers can operate several execution instances on a single physical server
using virtualization technology, which improves resource utilization. In recent years …
using virtualization technology, which improves resource utilization. In recent years …
gym-hpa: Efficient auto-scaling via reinforcement learning for complex microservice-based applications in kubernetes
Containers have revolutionized application deployment and life-cycle management in
current cloud platforms. Applications have evolved from large monoliths to complex graphs …
current cloud platforms. Applications have evolved from large monoliths to complex graphs …
SARM: service function chain active reconfiguration mechanism based on load and demand prediction
J Cai, K Qian, J Luo, K Zhu - International Journal of Intelligent …, 2022 - Wiley Online Library
Network function virtualization is a promising technology for providing personalized services
via agile service function chains (SFCs). Flexible SFC orchestration and rational resource …
via agile service function chains (SFCs). Flexible SFC orchestration and rational resource …
CloudSimSDN‐NFV: Modeling and simulation of network function virtualization and service function chaining in edge computing environments
Software‐defined networking (SDN) has evolved and brought an innovative paradigm shift
in computer networks by utilizing a programmable software controller with open protocols …
in computer networks by utilizing a programmable software controller with open protocols …
[HTML][HTML] Gwydion: Efficient auto-scaling for complex containerized applications in Kubernetes through Reinforcement Learning
Containers have reshaped application deployment and life-cycle management in recent
cloud platforms. The paradigm shift from large monolithic applications to complex graphs of …
cloud platforms. The paradigm shift from large monolithic applications to complex graphs of …
An encoder-decoder deep learning approach for multistep service traffic prediction
T Theodoropoulos, AC Maroudis… - 2021 IEEE Seventh …, 2021 - ieeexplore.ieee.org
The prediction of traffic in regards to data services can be leveraged by cloud and edge
computing orchestration mechanisms in order to minimize the costly number of resources …
computing orchestration mechanisms in order to minimize the costly number of resources …
Cost-aware automatic scaling and workload-aware replica management for edge-cloud environment
C Li, J Liu, B Lu, Y Luo - Journal of Network and Computer Applications, 2021 - Elsevier
As the mobile edge computing develops continually, many emerging and diversified edge
applications, such as Internet of vehicles, virtual reality games and lightweight deep learning …
applications, such as Internet of vehicles, virtual reality games and lightweight deep learning …