Cloud Computing Mick Watson Director of ARK-Genomics The Roslin Institute.

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Presentation transcript:

Cloud Computing Mick Watson Director of ARK-Genomics The Roslin Institute

Structure What is a computer – Desktops / servers / clusters – Clients / servers Virtualisation The Cloud Accessing the Amazon cloud Costs etc

What is a computer?

What is a server?

What is a cluster? A cluster is a connected set of computers (nodes) Any job can be run on any of the nodes A server may be a single PC, it may be cluster

An operating system? An OS is the software that runs the computer: – E.g. Windows – E.g. Linux – E.g. Mac OSX – E.g. Android – E.g. Solaris – E.g. iOS

Virtualisation You can run an entire computer inside a computer Take OS and data and all running processes Create an “image” Recreate that image inside another PC Access it as if it was a (physical) normal PC

What is “the cloud”? There is not just one! – Amazon EC2 – Rackspace – Etc “The Cloud” refers to a large cluster of computers, in which you can create, for a fee, as many virtual computers as you like

AMAZON EC2

We will use Amazon EC2 Terminology: – EC = “Elastic Compute” – Image – a preconfigured computer image. Like a template. – Instance – an virtual version of an image that you can log in to and use Select a pre-configured Amazon Machine Image (AMI) to get up and running immediately. Or create an AMI containing your applications, libraries, data, and associated configuration settings. Configure security and network access Choose which instance type(s) you want, then start, terminate, and monitor as many instances as you like. Pay only for the resources that you actually consume, like instance- hours or data transfer Close down the image(s) when finished

Linux Linux refers to an entire family of operating systems: – Red Hat – Ubuntu – Debian etc Linux is free Many of the computers that power the internet run Linux Almost all bioinformaticians use it Powerful, extendable and open

The power is the command line Don’t panic!

BioLinux A Linux operating system designed for bioinformatics More than 500 bioinformatics software programs installed on top of Ubuntu 10.4 base There are BioLinux AMIs on EC2 – CloudBioLinux We have created our own AMI based on CloudBioLinux

How powerful? Once you have selected the “type” of computer (AMI) you must then select the size and power M1 Small Instance (Default) 1.7 GiB of memory, 1 EC2 Compute Unit (1 virtual core with 1 EC2 Compute Unit), 160 GB of local instance storage, 32-bit or 64-bit platform M1 Medium Instance 3.75 GiB of memory, 2 EC2 Compute Units (1 virtual core with 2 EC2 Compute Units each), 410 GB of local instance storage, 32-bit or 64-bit platform M1 Large Instance 7.5 GiB of memory, 4 EC2 Compute Units (2 virtual cores with 2 EC2 Compute Units each), 850 GB of local instance storage, 64-bit platform M1 Extra Large Instance 15 GiB of memory, 8 EC2 Compute Units (4 virtual cores with 2 EC2 Compute Units each), 1690 GB of local instance storage, 64-bit platform M3 Extra Large Instance 15 GiB of memory, 13 EC2 Compute Units (4 virtual cores with 3.25 EC2 Compute Units each), EBS storage only, 64-bit platform M3 Double Extra Large Instance 30 GiB of memory, 26 EC2 Compute Units (8 virtual cores with 3.25 EC2 Compute Units each), EBS storage only, 64-bit platform

How powerful? Once you have selected the “type” of computer (AMI) you must then select the size and power Micro Instance 613 MiB of memory, up to 2 ECUs (for short periodic bursts), EBS storage only, 32-bit or 64-bit platform (free) High-Memory Extra Large Instance 17.1 GiB memory, 6.5 ECU (2 virtual cores with 3.25 EC2 Compute Units each), 420 GB of local instance storage, 64-bit platform High-Memory Double Extra Large Instance 34.2 GiB of memory, 13 EC2 Compute Units (4 virtual cores with 3.25 EC2 Compute Units each), 850 GB of local instance storage, 64-bit platform High-Memory Quadruple Extra Large Instance 68.4 GiB of memory, 26 EC2 Compute Units (8 virtual cores with 3.25 EC2 Compute Units each), 1690 GB of local instance storage, 64-bit platform High-CPU Medium Instance 1.7 GiB of memory, 5 EC2 Compute Units (2 virtual cores with 2.5 EC2 Compute Units each), 350 GB of local instance storage, 32-bit or 64-bit platform High-CPU Extra Large Instance 7 GiB of memory, 20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each), 1690 GB of local instance storage, 64-bit platform

How powerful? Once you have selected the “type” of computer (AMI) you must then select the size and power Cluster Compute Quadruple Extra Large 23 GiB memory, 33.5 EC2 Compute Units, 1690 GB of local instance storage, 64-bit platform, 10 Gigabit Ethernet Cluster Compute Eight Extra Large 60.5 GiB memory, 88 EC2 Compute Units, 3370 GB of local instance storage, 64-bit platform, 10 Gigabit Ethernet Cluster GPU Quadruple Extra Large 22 GiB memory, 33.5 EC2 Compute Units, 2 x NVIDIA Tesla “Fermi” M2050 GPUs, 1690 GB of local instance storage, 64-bit platform, 10 Gigabit Ethernet High I/O Quadruple Extra Large 60.5 GiB memory, 35 EC2 Compute Units, 2 * 1024 GB of SSD- based local instance storage, 64-bit platform, 10 Gigabit Ethernet

THE PRACTICAL

In this course you will start a new Amazon EC2 instance and begin to learn some of the essentials of the linux command- line Don’t panic.