Why of cloud computing


Teaching: 5 min
Exercises: 0 min
  • What is cloud computing?

  • What are the tradeoffs of cloud computing?

  • Understand benefits of working on a remote computer system

There are a number of reasons why accessing a remote machine is invaluable to any scientists working with large datasets. In the early history of computing, working on a remote machine was standard practice - computers were bulky and expensive. Today we work on laptops or desktops that are more powerful than the sum of the world’s computing capacity 20 years ago, but many analyses (especially in genomics) are too large to run on these laptops/desktops. These analyses require larger machines, often several of them linked together, where remote access is the only practical solution.

In recent years, computational power has become a commodity and entire companies have been built around a business model that allows you to “rent” one or more linked computers for as long as you require, at relatively low cost. This is the basic principle behind the cloud. You define your computational requirements and off you go.

You’ll know you need to start working on the cloud when:

The cloud is a part of our everyday life (e.g. using Amazon, Google, Netflix, or an ATM involves remote computing). The topic is fascinating, but this lesson says ‘5 minutes or less’ so let’s get connected.

Choosing a cloud platform

The most important thing about the cloud is choice - instead of purchasing a physical computer, you can obtain on-demand computing at almost any scale. This power comes with advantages and disadvantages:

Advantages of Cloud Computing

Disadvantages of Cloud Computing

* You can use some of Amazon Web Services (AWS) for free, or see if you qualify for AWS Cloud Credits for Research (See: https://aws.amazon.com/research-credits/ ). The free level of service will not be sufficient for working with the amount of data we are using for our lessons.

Cloud platform choices

There are several cloud providers to choose from. Some scientific clouds may either be free or allocate resources competitively. Commercial clouds can be very powerful, but choice can be overwhelming. We will come back to this at the end of the lesson, but for right now, we’re going to continue using the Amazon Web Services as our resource.

Learn more about cloud computing in bioinformatics
Fusaro VA, Patil P, Gafni E, Wall DP, Tonellato PJ (2011) Biomedical Cloud Computing With Amazon Web Services. PLoS Comput Biol 7(8): e1002147. doi: 10.1371/journal.pcbi.1002147

Key Points

  • Cloud computing increases processing speed and efficiency