Toward a Smarter Cloud: Self-Aware Autoscaling of Cloud Configurations and Resources
Research output: Contribution to journal › Article › peer-review
Colleges, School and Institutes
Promoting self-Aware autoscaling to intelligently handle the dynamics and uncertainty of changing workloads, configurations, and demands on resources at runtime can facilitate more scalable, elastic, and dependable cloud-based services.
|Number of pages||4|
|Publication status||Published - 1 Sep 2015|
- autoscaling, autoscaling-control granularity, cloud computing, Cloud Cover, QoS interference, quality of service, self-Awareness