CSLC-C: Cost-Sensitive, Low Carbon Computing
CSLC-C optimizes a low carbon -- cost tradeoff for computing task schedules and deployment in Google Cloud
What problem does CSLC-C solve?
Cloud usage cost models are location sensitive. CSLC-C factors CO2 emissions reduction and cost into optimal cloud location selection for dynamically allocated cloud resources.
What does CSLC-C bring to the table?
CSLC-C optimizes a low carbon -- cost tradeoff for computing task scheduling & deployment in the Google Cloud Platform (GCP)
What you have done during the hackathon?
Note: Each of the individual components above have been developed and tested. However, we have not yet completed the integration of these components within GCP. We will continue until this is completed.
What is CSLC-C's impact to the industry?
The CSLC-C solution allows more organizations to actively engage in CO2 emissions reduction for cloud resources earlier by allowing cost to be factored into their decision-making process.
Factoring costs into the decision of when to initiate or how much to expand a CO2 emissions reduction program reduces financial risk and facilitates earlier program adoption.
When viewed globally, the impact would be significant.
What are the necessities in order to continue the project?
We will complete the prototype within the Google Cloud Platform (GCP); however, interest from the business community will be essential to continuing the project beyond the prototype.
What is the value of CSLC-C?
UN Sustainable Development Goals, including CO2 emission reduction, should be incorporated into corporate objectives and processes. Many shareholders, including institutional investors, will demand a balance of profits and sustainability considerations.
Organizations need solutions to cost-effectively and efficiently address this balance. The CLSC-C app is a simple example of one way this balance can be achieved.
The URL to the prototype [Github, Website,...] are as follows:
The video presentation is at: https://youtu.be/DGIijGL3ttg
The source code is at: https://github.com/orgs/Carbon-Hack- 22/repositories
The Text presentation is included under "Assets" on this project page.
The link to the application in GCP is forthcoming.