Invention Grant
- Patent Title: Auto-scaling cloud-based memory-intensive applications
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Application No.: US16737099Application Date: 2020-01-08
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Publication No.: US11307895B2Publication Date: 2022-04-19
- Inventor: Joe H. Novak , Sneha K. Kasera , Ryan Stutsman
- Applicant: UNIVERSITY OF UTAH RESEARCH FOUNDATION
- Applicant Address: US UT Salt Lake City
- Assignee: UNIVERSITY OF UTAH RESEARCH FOUNDATION
- Current Assignee: UNIVERSITY OF UTAH RESEARCH FOUNDATION
- Current Assignee Address: US UT Salt Lake City
- Agency: Workman Nydegger
- Main IPC: G06F9/50
- IPC: G06F9/50 ; G06F9/455 ; G06F9/4401 ; G06F9/54

Abstract:
Improved techniques for dynamically responding to a fluctuating workload. Resources are reactively scaled for memory-intensive applications and automatically adapted to in response to workload changes without requiring pre-specified thresholds. A miss ratio curve (MRC) is generated for an application based on application runtime statistics. This MRC is then modeled as a hyperbola. An area on the hyperbola is identified as satisfying a flatten threshold. A resource allocation threshold is then established based on the identified area. This resource allocation threshold indicates how many resources are to be provisioned for the application. The resources are scaled using a resource scaling policy that is based on the resource allocation threshold.
Public/Granted literature
- US20200218574A1 AUTO-SCALING CLOUD-BASED MEMORY-INTENSIVE APPLICATIONS Public/Granted day:2020-07-09
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