With proper setup. It shouldn’t be difficult to maintain the security of the location, manage folding computers, and with this information, decide the range of the project. Computer folding software is meant to be expandable, so running it on a single computer, and running it on a whole classroom of computers should in hindsight, be possible and be easy to deploy. This can be done by using the tools already put in place by the network security experts and administrators that designed the local connections between “hubs” or sections of high traffic allocated areas of a network traffic. With this method of deployment, the relatively low powered, and hardly used physical desktop computers can be functionally turned into a botnet of local power accumulation for protein dynamics all while the computers would’ve been turned off, hibernated, or otherwise suspended. This scalability of this idea makes it easy for contribution to scientific good, both locally, and in the future, developed to help the community, paid by taxes, and maintained through the cloud, or on location, by the same person who manages the existing network resources. This means no extra cost besides electricity need to be associated with this type of software deployment making this method even more necessary for locations with large amounts of processing power that frequents a consistent working schedule. As for people that are needed, we run into the first problem with this plan. To get all this software on all these computers, it’s a simple task, however, the control of what is or is not permitted to execute on these computers is almost completely at the discretion of the network supervisor, or IT administrator meaning the duties of getting this unknown code in the school’s eye, to the computers is going to be a challenge.
Proteins in living things is a set of code, programmed in everything. The method in which we guess the effects of proteins to micro-bacteria, to Dirty water, to clean water, etc., to create an understanding of protein dynamics via software using the same mathematical equations as mathematicians have found as constants in our universe. As an end goal to progress the technology, and work toward a greater good using government funding. This is a manageable and feasible idea because the premise of running calculations to improve human livability should be supported by the same system sought to educate human livability. With no initial associated risk academic societies must understand not the current potential, but the future potential for such a system(s) in place. This is going to work because it contributes toward the ultimate power of comprehension among humans. Among the local water systems, CPU/GPU folding, future proofs world problems by decreasing the likelihood of a transmittable or obtainable body of infraction, that could be considered as world threatening. Considering our current and future political climate, the adoption of newer simulations has a vast slew of positives that span far beyond just the local watershed and could have even more influential effects on communities with less prioritization regarding water rights and management. The end goal of this project and projects like it is to inspire academic institutes to donate otherwise unused compute power for global harmonization.
The projected scalability of this project is a main concern as with any network of compute power. The process a single computer goes through when running protein folding simulations should be predictable and static for expansion to a network, and the computers should keep their full functionality during working hours, this means a student who needs to use the computer should have no indication that the machine’s status was affected, this means the computer should never store data on disk during this time. The software packages distributed should be extraordinarily lightweight and autonomous in functionality, as the end goal of this is to create an autonomous system using hardware that otherwise is powered off the entire night. Human understanding of protein dynamics will significantly improve my local watershed by providing data mining, and simulation capabilities for scientists specializing in water treatment and human science. With this idea I hope to inspire network administrators to encourage the use of folding and other process unit farming. And by demonstrating the feasibility of running simulations on off hours and explaining the usefulness of this data for scientific purposes on a global level, looking forward the implications of such networks will increasingly play a larger role in global collaboration to solve scientific problems. Works Cited
Rice University. “New computer program accurately simulates protein folding dramatically faster than previous methods.”
ScienceDaily. ScienceDaily, 8 July 2010. .
Kuzmanic A;Bowman GR;Juarez-Jimenez J;Michel J;Gervasio FL;. (n.d.). Investigating Cryptic Binding Sites by Molecular Dynamics Simulations. Retrieved November 09, 2020, from https://pubmed.ncbi.nlm.nih.gov/32134250