Cloud
Higher national K–12 student participation in the HSe4Metrics platform directly drives higher cloud costs
The higher the cloud costs, the better
Look to the numbers: When driven by nationwide K–12 adoption of the HSe4Metrics platform, higher cloud usage could benefit a corporate sponsor through extraordinary public exposure and corporate relevance—not only among K–12 students, but also among appreciative parents, families, and a wide range of other population sectors, collectively representing a substantial share of the U.S. population. For a corporate sponsor, historically difficult-to-improve profit margins or stagnant market share could become key numbers to watch.
Likewise, by sponsoring the platform, a federal agency could help significantly strengthen the nation’s most valuable resource—its human capital. Choosing a single hard-number metric to reflect the potential national economic benefits would be difficult, although GDP would be an obvious candidate.
A boon, not a burden—and a societal good. Major social media companies invest billions of dollars annually in computing infrastructure to support their enormous user populations. Thus, for the HSe4Metrics platform—which combines the powerful mechanics of social media with a societal innovation designed to serve the public good—a theoretical monthly cloud cost approaching $1 billion could signal widespread platform adoption and broad national K–12 participation—and potentially extraordinary benefits for the sponsor.
Cloud costing parameters: Daily Active Users (DAUs) for the HSe4Metrics platform may include (i) million K–12 students, (ii) million pre-K–12 young people, an assumed (iii)% of parents of K–12 students who regularly visit the platform, and (iv)% of parents of pre-K–12 young people. Additionally, an average of (v) million teachers and members of the general public may visit the platform, with their frequency of participation accounted for. This would result in an estimated total of (vi) DAUs.
Cloud computing costs would include computing time, storage, networking, data transfer, content delivery, caching, databases, and AI processing—and would depend on actual participation, usage patterns, system architecture, and service pricing.
Key code 216