Results 1 to 10 of about 168,797 (129)
Graph-PHPA: Graph-based Proactive Horizontal Pod Autoscaling for Microservices using LSTM-GNN [PDF]
2022 IEEE 11th International Conference on Cloud Networking (CloudNet), 2022 Microservice-based architecture has become prevalent for cloud-native applications. With an increasing number of applications being deployed on cloud platforms every day leveraging this architecture, more research efforts are required to understand how different strategies can be applied to effectively manage various cloud resources at scale.
Mingming Liu
exaly +6 more sources
Frontiers in Computer ScienceThe advancement of cloud computing technologies has led to increased usage in application deployment in recent years. Kubernetes, a widely used container orchestration platform for deploying applications on cloud systems, provides benefits such as ...
Pasan Bhanu Guruge +1 more
exaly +4 more sources
Proactive autoscaling for edge computing systems with kubernetes [PDF]
Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2021 With the emergence of the Internet of Things and 5G technologies, the edge computing paradigm is playing increasingly important roles with better availability, latency-control and performance. However, existing autoscaling tools for edge computing applications do not utilize heterogeneous resources of edge systems efficiently, leaving scope for ...
Li Ju, Prashant Singh, Salman Toor
openaire +4 more sources
An Autoscaling System Based on Predicting the Demand for Resources and Responding to Failure in Forecasting [PDF]
Sensors, 2023 In recent years, the convergence of edge computing and sensor technologies has become a pivotal frontier revolutionizing real-time data processing. In particular, the practice of data acquisition—which encompasses the collection of sensory information in
Jieun Park, Junho Jeong
doaj +2 more sources
Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes
Mathematics, 2023 Most enterprise customers now choose to divide a large monolithic service into large numbers of loosely-coupled, specialized microservices, which can be developed and deployed separately.
Subrota Kumar Mondal +6 more
doaj +2 more sources
Proactive automatic up-scaling for Kubernetes [PDF]
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2023 Modern challenges in microservice architecture requires autoscaling (upscaling and down-scaling). As an example Black Friday can be considered when load to system increases significantly and obviously more computing capabilities are need to serve it ...
D. Gutman, O. Syrota
doaj +2 more sources
Proactive Random-Forest Autoscaler for Microservice Resource Allocation
IEEE Access, 2023 Cloud service providers have been shifting their workloads to microservices to take advantage of their modularity, flexibility, agility, and scalability. However, numerous obstacles remain to achieving the most out of microservice deployments, especially
Athanasios Stouraitis +2 more
exaly +3 more sources
EncyclopediaThe deployment of virtual machines (VMs) within the Infrastructure as a Service (IaaS) layer across public, private, or hybrid cloud infrastructures is prevalent in various organisational settings for hosting essential business services.
Kamran Munir, Zaheer Khan
exaly +3 more sources
International Journal of Information Management Data Insights, 2023 The emergence of Multiplayer Mobile Gaming (MMG) applications is intertwined with a plethora of Quality of Service and Quality of Experience requirements.
Theodoros Theodoropoulos +7 more
doaj +1 more source
Proactive Auto-Scaling Approach of Production Applications Using an Ensemble Model
IEEE Access, 2023 The resource usage behaviors of application workloads are currently the primary concern of cloud providers offering hosting services. These services should be able to adapt to workload changes by automatically provisioning and de-provisioning resources ...
Mohamed Samir +2 more
doaj +1 more source