Results 151 to 160 of about 3,474 (205)
Computational identification of novel acetylcholinesterase inhibitors as potential treatments for Alzheimer's disease. [PDF]
Matallana Rincón S +2 more
europepmc +1 more source
Could the quality characteristics of virgin olive oil influence its geographical classification using untargeted infrared spectroscopy and chemometrics? [PDF]
De Angelis D +4 more
europepmc +1 more source
Burst-Aware Predictive Autoscaling for Containerized Microservices [PDF]
Autoscaling methods are used for cloud-hosted applications to dynamically scale the allocated resources for guaranteeing Quality-of-Service (QoS). The public-facing application serves dynamic workloads, which contain bursts and pose challenges for ...
Jorda Polo +2 more
exaly +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Practical Efficient Microservice Autoscaling
ACM SIGMETRICS Performance Evaluation Review, 2023Motivation. In recent years, the adoption of microservices in production systems has been steadily growing. With their loosely-coupled and lightweight components, microservices are easier to manage than traditional monolithic applications. However, microservices introduce new challenges towards efficient resource management because their high number of
Md Rajib Hossen, Mohammad A. Islam 0001
openaire +2 more sources
Autoscaling for Hadoop Clusters
2016 IEEE International Conference on Cloud Engineering (IC2E), 2016Unforeseen events such as node failures and resource contention can have a severe impact on the performance of data processing frameworks, such as Hadoop, especially in cloud environments where such incidents are common. SLA compliance in the presence of such events requires the ability to quickly and dynamically resize infrastructure resources ...
Anshul Gandhi +4 more
openaire +1 more source
COPA: A Combined Autoscaling Method for Kubernetes
2021 IEEE International Conference on Web Services (ICWS), 2021Autoscaling is one of the major features of Cloud Computing aiming to improve the Quality-of-Service(QoS) in response to fluctuating workloads. Existing state-of-the-art autoscaling methods for Kubernetes focus on single scaling mode, that is, only horizontal scaling and only vertical scaling.
Zhijun Ding, Qichen Huang
openaire +1 more source
Optimal autoscaling in a IaaS cloud
Proceedings of the 9th international conference on Autonomic computing, 2012An application provider leases resources (i.e., virtual machine instances) of variable configurations from a IaaS provider over some lease duration (typically one hour). The application provider (i.e., consumer) would like to minimize their cost while meeting all service level obligations (SLOs).
Hamoun Ghanbari +4 more
openaire +2 more sources
Autoscaling Performance Measurement Tool
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018More companies are shifting focus to adding more layers of virtualization for their cloud applications thus increasing the flexibility in development, deployment and management of applications. Increase in the number of layers can result in additional overhead during autoscaling and also in coordination issues while layers may use the same resources ...
Anshul Jindal +2 more
openaire +1 more source

