What is the Cloud?
What is the difference between Cloud storage and Cloud Computing?
Cloud Storage is when nodes are kept in durable, safe spaces, with the nodes storing information to keep it safe and accessible. Cloud Computing differs in that the nodes are instead intended to process information by giving the Cloud the intended code to use rather than only storing the data and grabbing the data from the cloud to process locally.
The Cloud is able to store large amounts of data…
One of the assets about Clouds are that they are able to store and hold great amounts of data. Computing Clouds can utilize memory clusters to store large amounts of data together.
…which allows for collective processing and analyzing.
The stored data is then processed in parallel, with each node processing individual chunks of the data. This is much faster than processing it sequentially on a single, local node (i.e. you’re own computer) due to breaking the data into parallel pieces and using the same code to process it many times at once.
The Cloud is not a single “thing”, it is actually a collection of smaller things
Its a collection of nodes that are owned by companie(s) or institution(s). These nodes are able to handle individual tasks, store information, and/or process information with given code.
The Cloud interfaces with many aspects of our lives
Cloud Computing is used in many various parts of life, it has been used in processing the sequences of genomes within the field of Biology, in Physics with data collected from the Hadron Collider, and implementing machine learning.
What does OpenCloud do and how can it help me?
We can take big data research and process it
The OpenCloud will utilize memory clusters to store the data created by the researcher, and then run the computational code within the cloud across many nodes to breakup to overall data into chunks and process them in parallel and then provide the results to the researcher.
It can be used to further research success
OpenCloud can improve the success of a researcher’s projects by working collaboratively with the researcher. Rather than only providing a means to compute data, we will sit down and discuss a solution to apply cloud computing techniques and algorithms to optimize the processing, as well as ensure efficiency and accuracy. By optimizing the speed of processing, we can reduce a researcher’s processing cycle so that they can apply the results sooner and continue with their research.
How do I become a member?
Becoming a member is easy! Simply download and fill out this form here and email it to Laurie de la Paz (contact information on the form) to begin the approval process.