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Auto-Scaling Techniques in Cloud Computing: Issues and Research Directions
SensorsIn the dynamic world of cloud computing, auto-scaling stands as a beacon of efficiency, dynamically aligning resources with fluctuating demands. This paper presents a comprehensive review of auto-scaling techniques, highlighting significant advancements ...
Saleha Alharthi +3 more
doaj +1 more source
Minimum-Cost Design of Auto-Scaling Server Farms Providing Reliability Guarantees
IEEE Open Journal of the Communications SocietyAs next-generation mobile networks increasingly rely on virtualized infrastructure to deliver critical services, ensuring both the efficiency and reliability of server farms becomes essential.
Jesus Perez-Valero +4 more
doaj +1 more source
Autoscaling Method for Docker Swarm Towards Bursty Workload
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
Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods [PDF]
Edge computing breaks with traditional autoscaling due to strict resource constraints, thus, motivating more flexible scaling behaviors using multiple elasticity dimensions.
Furutanpey, Alireza; orcid: +4 more
core +1 more source
A Trend Detection-Based Auto-Scaling Method for Containers in High-Concurrency Scenarios
IEEE AccessCloud computing technology is widely embraced due to its ability to meet diverse computing resource demands from users. As the user base grows, the challenge for cloud service providers to dynamically allocate resources to applications according to real ...
Haipeng Liu +3 more
doaj +1 more source
PID control based Cluster Autoscaling for Kubernetes
Containerized cloud based microservices are deployed using Kubernetes framework in recent approaches in the industry. Kubernetes offers in-built autoscaling tools like the Horizontal Pod Auto-scaler and Vertical Pod Auto-scaler for provisioning resources
Padhi, Sagar Swarajya
core
Self-adaptive, Requirements-driven Autoscaling of Microservices
Microservices architecture offers various benefits, including granularity, flexibility, and scalability. A crucial feature of this architecture is the ability to autoscale microservices, i.e., adjust the number of replicas and/or manage resources ...
Nakagawa, Elisa Yumi +3 more
core
ENOVA: Autoscaling towards Cost-effective and Stable Serverless LLM Serving
Since the increasing popularity of large language model (LLM) backend systems, it is common and necessary to deploy stable serverless serving of LLM on multi-GPU clusters with autoscaling.
Bright, Zachary +7 more
core
Enabling autoscaling for in-memory storage in cluster computing framework [PDF]
, 2019 2019 Spring.Includes bibliographical references.IoT enabled devices and observational instruments continuously generate voluminous data. A large portion of these datasets are delivered with the associated geospatial locations.
Shrestha, Bibek Raj, author +3 more
core
CPU throttling-aware AI-based autoscaling for Kubernetes
International audience5G networks are moving towards cloud-native architectures and expect higher performances, customizability, and cost efficiency compared to previous generations.
Kuranage, Menuka Perera Jayasuriya +4 more
core +1 more source