Update 04-Computing_Systems.Rmd

Author: carriewright11

04-Computing_Systems.Rmd

@@ -287,7 +287,7 @@ See [here](https://pediaa.com/difference-between-cluster-and-grid-computing/)  a
 
 ### "Cloud" computing
 
-More recently, the ["Cloud"](https://en.wikipedia.org/wiki/Cloud_computing) has become a common computing option. The term "cloud" has become a widely used buzzword [@cha_cloud_2015] that actually has a few slightly different definitions that have changed overtime, making it a bit tricky to keep track of. However, the "cloud" typially describes large computing resources that involve the connection between **multiple servers** in multiple locations [@cloud_2022] using the internet. See [here](https://www.redhat.com/en/topics/cloud-computing/cloud-vs-virtualization) for a deeper description of what the term cloud means today and how cloud computing compares to other more traditional shared computing options [@cloud_deeper].
+More recently, the ["Cloud"](https://en.wikipedia.org/wiki/Cloud_computing) has become a common computing option. The term "cloud" has become a widely used buzzword [@cha_cloud_2015] that actually has a few slightly different definitions that have changed overtime, making it a bit tricky to keep track of. However,  "cloud" typically describes large computing resources that involve the connection between **multiple servers** in multiple locations [@cloud_2022] using the internet. See [here](https://www.redhat.com/en/topics/cloud-computing/cloud-vs-virtualization) for a deeper description of what the term cloud means today and how cloud computing compares to other more traditional shared computing options [@cloud_deeper].
 
 Many of us use cloud storage regularly for Google Docs and backing up photos using iPhoto and Google. Cloud computing for research works in a similar way to these systems, in that you can perform computations or store data using an available server that is part of a larger network of servers. This allows for even more computational dependability beyond a simpler cluster or grid. Even if one or multiple servers are down, you can often still use the other servers for the computations that you might need.