Invention Grant
- Patent Title: Systems and methods for determining optimal cost-to-serve for cloud applications in the public cloud
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Application No.: US16677145Application Date: 2019-11-07
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Publication No.: US11307957B2Publication Date: 2022-04-19
- Inventor: Ashraya Raj Mathur , Bruno Manuel Torres Gomez , Ronnie Fong , Steven Bougon , Jiten Oswal , Mihirsinh Raol , Jianxun Jason Ding
- Applicant: salesforce.com, inc.
- Applicant Address: US CA San Francisco
- Assignee: salesforce.com, inc.
- Current Assignee: salesforce.com, inc.
- Current Assignee Address: US CA San Francisco
- Agency: LKGlobal | Lorenz & Kopf, LLP
- Main IPC: G06F11/34
- IPC: G06F11/34 ; G06F11/30 ; G06F11/32 ; G06F9/50

Abstract:
Systems and methods for an elastic cost-to-serve system including a first module to orchestrate an elastic server set; a second module to orchestrate a load test and to apply one or more use-case scenarios for each orchestrated server set; a third module to generate a cost metrics model of the orchestrated server set for predictive cost modeling; a fourth module coupled to the third module to collect a plurality of performance metrics across the server resources and associated client devices; a fifth module to post-process the collected performance metrics across a load testing duration and to provide analytics of the server set performance; and a sixth module coupled to analyze the performance metrics adapting available resources and to apply a heuristic of the cost metrics model to predict a model of cost optimization of the server set.
Public/Granted literature
- US20210141708A1 SYSTEMS AND METHODS FOR DETERMINING OPTIMAL COST-TO-SERVE FOR CLOUD APPLICATIONS IN THE PUBLIC CLOUD Public/Granted day:2021-05-13
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