Results 91 to 100 of about 1,278 (112)

SBPAM: Secure Based Predictive Autoscaling Model For containerized application [PDF]

IJCI International Journal of Computers and Information, 2021
M. Shenawy, Khalid Amin, Hayam Mousa
doaj   +1 more source

Learning predictive autoscaling policies for cloud-hosted microservices using trace-driven modeling

, 2019
Autoscaling methods are important to ensure response time guarantees for cloud-hosted microservices. Most of the existing state-of-the-art autoscaling methods use rule-based reactive policies with static thresholds defined either on monitored resource ...
Bukhari F., Erradi A., Iqbal W., Abdullah M.   +3 more
core   +1 more source

Auto-Scaling Techniques in Cloud Computing: Issues and Research Directions

Sensors
In 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, Afra Alshamsi, Anoud Alseiari, Abdulmalik Alwarafy   +3 more
doaj   +1 more source

Practical Efficient Microservice Autoscaling with QoS Assurance

, 2022
Cloud applications are increasingly moving away from monolithic services to agile microservices-based deployments. However, efficient resource management for microservices poses a significant hurdle due to the sheer number of loosely coupled and ...
Islam, Mohammad A., Hossen, Md Rajib, Ahmed, Kishwar   +2 more
core  

Minimum-Cost Design of Auto-Scaling Server Farms Providing Reliability Guarantees

IEEE Open Journal of the Communications Society
As 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, Pablo Serrano, Jaime Garcia-Reinoso, Albert Banchs, Xavier Costa-Perez   +4 more
doaj   +1 more source

Predicting Failures of Autoscaling Distributed Applications

<div> <div>This replication package can be used to fully replicate the results of our paper <em><a href="https://2024.esec-fse.org/details/fse-2024-research-papers/55/Predicting-Failures-of-Autoscaling-Distributed-Applications ...
Lomio, Fracesco, El Moussa, Noura, Heydarov, Rahim, Pezzè, Mauro, Qiu, Ketai, Denaro, Giovanni   +5 more
core   +1 more source

Trust your local scaler: a continuous, decentralized approach to autoscaling

Autoscaling is a critical component of modern cloud computing environments, improving flexibility, efficiency, and cost-effectiveness. Current approaches use centralized autoscalers that make decisions based on averaged monitoring data of managed service
Lange, Stanislav, Straesser, Martin, Kounev, Samuel, Geissler, Stefan, Hossfeld, Tobias, Schumann, Lukas Kilian   +5 more
core   +1 more source

Self-adaptive, Requirements-driven Autoscaling of Microservices [PDF]

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, Sabetzadeh, Mehrdad, Nunes, João Paulo Karol Santos, Nejati, Shiva   +3 more
core  

Performance and viability analysis of deploying cloud-native 5G autoscaling platforms

5G mobile network technology is undergoing rapid deployment. Autoscaling in 5G refers to the dynamic allocation and removal of network functions based on real-time service demand.
Ren, Yi, Parr, Gerard, Zhang, Xu, Yucebas, Amber, Xiong, Ruoting   +4 more
core  

Predictive Autoscaling of Microservices Hosted in Fog Microdata Center

IEEE Systems Journal, 2021
Fog computing provides microdata center (MDC) facilities closer to the users and applications, which help to overcome the application latency and response time concerns.
Arif Mahmood, Muhammad Abdullah, Waheed Iqbal   +2 more
exaly   +2 more sources