Results 51 to 60 of about 168,797 (129)

NimbusGuard: A Novel Framework for Proactive Kubernetes Autoscaling Using Deep Q-Networks

2026 40th International Conference on Information Networking (ICOIN)
Cloud native architecture is about building and running scalable microservice applications to take full advantage of the cloud environments. Managed Kubernetes is the powerhouse orchestrating cloud native applications with elastic scaling. However, traditional Kubernetes autoscalers are reactive, meaning the scaling controllers adjust resources only ...
Chamath Wanigasooriya, Indrajith Ekanayake   +1 more
openaire   +2 more sources

Adaptive Financial Infrastructure: A DevOps–Machine Learning Framework for Predictive Resource and Operational Optimization

Systems
Financial systems operate under strict requirements for availability, low latency, resilience, and regulatory compliance, yet infrastructure management in these environments remains largely reactive.
Pavel-Cristian Crăciun, Andreea-Maria Trăistaru, Oana-Alexandra Dragomirescu, Ana-Ramona Bologa, Robert-Cristian Necula   +4 more
doaj   +1 more source

ATOM: Model-driven autoscaling for microservices

, 2019
Microservices based architectures are increasingly widespread in the cloud software industry. Still, there is a shortage of auto-scaling methods designed to leverage the unique features of these architectures, such as the ability to independently scale a
Woodside, M., Casale, G., Gias, A.U.
core   +1 more source

DATURA: A Deep Learning-Based Adaptive Traffic-Aware Unified Resource Autoscaling Framework for VNFs in 5G/B5G Networks

IEEE Open Journal of the Communications Society
This paper introduces DATURA, a Deep Learning(DL)–based Adaptive Traffic-aware Unified Resource Autoscaling framework for virtual network functions (VNFs) in 5G and beyond networks.
Kanchan Kumar Tiwari, Krishna M. Sivalingam   +1 more
doaj   +1 more source

Effective priority-based resource allocation for proactive auto-scaling framework in workload prediction using hybrid tree-enhanced vector machine model

Discover Sustainability
Cloud computing (CC) is a paradigm offering on-demand access to software, platforms, and infrastructure as a service (IaaS). IaaS enables cloud providers to supply resources like Virtual Machines (VMs) and storage, making resource management critical for
Satya Nagamani Pothu, Swathi Kailasam
doaj   +1 more source

Revolutionizing Cloud Management with AI-Powered Kubernetes Autoscaling Solutions [PDF]

The proliferation of microservices and containerization, orchestrated predominantly by Kubernetes, has introduced significant challenges in cloud resource management.
Mundigehalla Prabhakar, Chethan
core   +2 more sources

Towards a Proactive Autoscaling Framework for Data Stream Processing at the Edge using GRU and Transfer Learning

CoRR
Processing data at high speeds is becoming increasingly critical as digital economies generate enormous data. The current paradigms for timely data processing are edge computing and data stream processing (DSP). Edge computing places resources closer to where data is generated, while stream processing analyzes the unbounded high-speed data in motion ...
Eugene Armah, Linda Amoako Bannning
openaire   +2 more sources

LA-IMR: Latency-Aware, Predictive In-Memory Routing and Proactive Autoscaling for Tail-Latency-Sensitive Cloud Robotics

CoRR
Hybrid cloud-edge infrastructures now support latency-critical workloads ranging from autonomous vehicles and surgical robotics to immersive AR/VR. However, they continue to experience crippling long-tail latency spikes whenever bursty request streams exceed the capacity of heterogeneous edge and cloud tiers.
Eunil Seo, Chanh Nguyen 0001, Erik Elmroth   +2 more
openaire   +3 more sources

Consistent use of proactive control and relation with academic achievement in childhood [PDF]

, 2020
As children become older, they better maintain task-relevant information in preparation of upcoming cognitive demands. This is referred to as proactive control, which is a key component of cognitive control development.
Meaney, Julie-Anne, Morey, Candice, Auyeunga, Bonnie, Schäffner, Simone, Könen, Tanja, Karbach, Julia, Hadley, Lauren V., Schaeffner, Simone, Morey, Candice C, Chevalier, Nicolas, Morey, Candice C., Auyeung, Bonnie, Hadley, Lauren, Kubota, Maki, K�nen, Tanja, Auyeung, Bonnie; id_orcid, Meaney, Julie-Ann, Hadley, Lauren V   +17 more
core   +1 more source

Autoscaling Method for Docker Swarm Towards Bursty Workload [PDF]

The autoscaling mechanism of cloud computing can automatically adjust computing resources according to user needs, improve quality of service (QoS) and avoid over-provision.
Huang, Qichen, Ding, Zhijun, Wang, Song
core