A method for scaling a cloud infrastructure, comprises receiving at least one of resource-level metrics and application-level metrics, estimating parameters of at least one application based on the received metrics, automatically and dynamically determining directives for scaling application deployment based...
Oracle Cloud Infrastructure supports 32 block storage volumes attached to a compute node, of which 4 are used when the database deployment is created. Thus, you have 28 opportunities to scale up storage. In each scale-up operation, you can create a storage volume of 50 GB to 16384 GB (...
Themis is a framework for autoscaling Cloud infrastructure on Amazon Web Services (AWS). It currently supports autoscaling for the following services: Elastic Map Reduce (EMR) clusters Kinesis streams Themis in Greek mythology is the goddess of divine order, justice, and fairness, just like the ...
Cloud computing is one of the fastest growing technology. Pay-as-you-go model attracts the customer to utilize the large amount of cloud services in very low cost. Scalability and virtualization plays a vital role to achieve this goal. Scalability is the ability to find the number of users ...
Designing a composable platform architect is key to scaling an AI model. To do this: Embrace composability in your architecture and decouple the models from engineering tools, infrastructure and the UX layer. Determine the right model fit for your use cases based on model performance, cost of ow...
Oracle Cloud Infrastructure.Oracle has multiple autoscaling services across its Oracle Cloud Infrastructure platform, includingCompute Autoscalingand a flexible load balancer that enables elastic load balancing for network traffic.
To test these workloads, we simulate a realistic cloud infrastructure using customized extensions of the CloudSim simulation toolkit. The simulation experiments allow us to evaluate the cloud performance under different workload conditions and assess the benefits of autoscaling policies as well as the ...
Though targeting primarily the Infrastructure as a Service (IaaS), the system models and the algorithms we propose can be applied to the other cloud delivery models and to private clouds. 展开 关键词: Computer Science - Distributed Parallel and Cluster Computing ...
BUNGEE: An Elasticity Benchmark for Self-Adaptive IaaS Cloud Environments Today's infrastructure clouds provide resource elasticity (i.e. auto-scaling) mechanisms enabling self-adaptive resource provisioning to reflect variations... NR Herbst,S Kounev,A Weber,... - ACM 被引量: 28发表: 2015年 ...
是阿里雲提供的IaaS(Infrastructure as a Service)層級雲端運算服務,可以協助您實現計算資源的即開即用和Auto Scaling。 Elastic Container Instance 是阿里雲提供的敏捷安全的Serverless容器運行服務,使用ECI作為容器運行環境,可以為您的業務系統提供更高的彈性和安全性,同時降低使用和營運成本。 雲資料庫RDS 是一種安全、...