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Recap: introduction to e-science

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1 Recap: introduction to e-science
New IT is coming closer to medical practice New IT is already used in “Big science” e-Science e-Science approach used for medical research e-Science research topics infrastructure data management distributed processing user interfaces collaboration MIK 2.1 DBNS - Computing on e-infrastructures, 2013

2 MIK 2.1 DBNS - Computing on e-infrastructures, 2013
Course Overview Lectures Introduction to e-Science Computing on e-infrastructures Practice Introduction to WS-PGRADE Exercises Wrap-up MIK 2.1 DBNS - Computing on e-infrastructures, 2013

3 Computing on e-infrastructures
MIK 2.1 Databases and Networksystems Guest lecture “e-science” Silvia Delgado Olabarriaga Bioinformatics Laboratory, KEBB

4 Computing on e-infrastructures
Grid computing Workflow management Science gateway MIK 2.1 DBNS - Computing on e-infrastructures, 2013

5 Types of e-infrastructures
Not only computing: Also.. High-performance computing (HPC) Virtual computing High-throughput computing (HTC) Network Data services Visualization Collaboration Support MIK 2.1 DBNS - Computing on e-infrastructures, 2013

6 e-science infrastructures in NL
MIK 2.1 DBNS - Computing on e-infrastructures, 2013

7 High Performance Computing (HPC)
Cluster set of loosely connected computers that work together so that in many respects they can be viewed as a single system Homogeneous vs. heterogeneous, fast network, shared data space GPU (Graphical Processing Unit) massively parallel processing units Stream processing, SIMD (single instruction multiple data) Supercomputer computer at the frontline of current processing capacity, particularly speed of calculation memory, processors, special architecture MIK 2.1 DBNS - Computing on e-infrastructures, 2013

8 MIK 2.1 DBNS - Computing on e-infrastructures, 2013
Cloud Computing Internet-based computing shared resources, software and information are provided to computers and other devices on-demand, similar to a public utility such as the electricity grid. Refers to both the applications delivered as services over the Internet and the hardware and systems software in the data centers that provide those services. Virtualization MIK 2.1 DBNS - Computing on e-infrastructures, 2013

9 MIK 2.1 DBNS - Computing on e-infrastructures, 2013
Cloud Computing Types Public cloud Private cloud Utility computing: service being sold Novelties appearance of infinite computing resources available on demand ability to pay for use Michael Armbrust et al. “A View of Cloud Computing”. Communications of the ACM, Vol. 53 No. 4, Pages 50-58 MIK 2.1 DBNS - Computing on e-infrastructures, 2013

10 MIK 2.1 DBNS - Computing on e-infrastructures, 2013
…. XXX As a Service Infrastructure as a service (IaaS) Platform as a service (PaaS) Software as a service (SaaS) Storage as a service (STaaS) (on demand, pay as go) MIK 2.1 DBNS - Computing on e-infrastructures, 2013

11 High Throughput Computing: Grid
“a system that uses open, general-purpose protocols to federate distributed resources…” resources: computing, data, storage, services, software, equipment, expertise Jan Foster, “What is the grid? A three point check list”, 2002 Key: FEDERATION “organization or group within which smaller divisions have some degree of internal autonomy” MIK 2.1 DBNS - Computing on e-infrastructures, 2013

12 Virtual Organizations (VO)
Grid certificate MIK 2.1 DBNS - Computing on e-infrastructures, 2013

13 Example: Life Science Grid
VARIOUS VO: VLEMED LSGRID BBMRI MIK 2.1 DBNS - Computing on e-infrastructures, 2013

14 Overview: e-infrastructures
MIK 2.1 DBNS - Computing on e-infrastructures, 2013

15 Discussion in groups (5min)
What is the difference/similarity/relationship between Cluster and supercomputer Cluster and grid Grid and cloud computing High performance and high throughput computing Parallel and distributed computing? What could be the role of such computing infrastructures for the information infrastructure in healthcare? MIK 2.1 DBNS - Computing on e-infrastructures, 2013

16 Recap: Computing on e-infrastructures
Grid computing Workflow management Science gateway MIK 2.1 DBNS - Computing on e-infrastructures, 2013

17 MIK 2.1 DBNS - Computing on e-infrastructures, 2013
Workflow is… (adapted from wikipedia) sequence of connected steps; depiction of a sequence of operations designed to achieve processing intents of some sort, such as physical transformation, service provision, or information processing. MIK 2.1 DBNS - Computing on e-infrastructures, 2013

18 Workflow Reference Model
MIK 2.1 DBNS - Computing on e-infrastructures, 2013

19 Basic workflow concepts
Components, processes, activities Inputs, outputs (ports) Process Input port Output port MIK 2.1 DBNS - Computing on e-infrastructures, 2013

20 MIK 2.1 DBNS - Computing on e-infrastructures, 2013
Workflow step1 step2 step3 step4 Linked components Data passed around Processes started when data is available MIK 2.1 DBNS - Computing on e-infrastructures, 2013

21 Workflow Management System
Start program to execute processes Pass data between processes Manage intermediate data Distribute computation (parallel processes) Retry failed processes Keep track of what which processes were executed where and which data has been generated by which process (provenance) MIK 2.1 DBNS - Computing on e-infrastructures, 2013

22 MIK 2.1 DBNS - Computing on e-infrastructures, 2013
Which workflow system? SHaring Interoperable Workflows for large-scale scientific simulations on Available DCIs MIK 2.1 DBNS - Computing on e-infrastructures, 2013

23 MIK 2.1 DBNS - Computing on e-infrastructures, 2013
Example: WS-Pgrade Components Web services, grid jobs, other workflows Web portal MIK 2.1 DBNS - Computing on e-infrastructures, 2013

24 Recap: Computing on e-infrastructures
Grid computing Workflow management Science gateway MIK 2.1 DBNS - Computing on e-infrastructures, 2013

25 What is a Science Gateway?
Interface to an e-infrastructure community-developed set of tools, applications, and data integrated via a portal, usually in a graphical user interface customized for a specific community Also known with other terms Portal, Virtual research environment, collaboratory, Virtual laboratory, problem solving environment, … MIK 2.1 DBNS - Computing on e-infrastructures, 2013

26 Types of science gateways
Depending on functionality that is offered Generic Run jobs, access to files, grid authentication, status, … Dedicated to some scientific area Neuroscience, protein docking, molecular chemistry Depending on the technology used Custom Scripts, php, web applications Based on framework Portal framework, grid portal framework MIK 2.1 DBNS - Computing on e-infrastructures, 2013

27 MIK 2.1 DBNS - Computing on e-infrastructures, 2013
AMC generic Gateway Workflows Grid, cluster, server Monitoring Collaboration MIK 2.1 DBNS - Computing on e-infrastructures, 2013

28 AMC Computational Neuroscience Gateway
MIK 2.1 DBNS - Computing on e-infrastructures, 2013

29 Browse data, run applications
MIK 2.1 DBNS - Computing on e-infrastructures, 2013

30 MIK 2.1 DBNS - Computing on e-infrastructures, 2013
Monitor processing Application Output Data Input Data MIK 2.1 DBNS - Computing on e-infrastructures, 2013

31 MIK 2.1 DBNS - Computing on e-infrastructures, 2013
Under the hood Commit/ MIK 2.1 DBNS - Computing on e-infrastructures, 2013

32 Recap: Computing on e-infrastructures
Grid computing Workflow management Science gateway MIK 2.1 DBNS - Computing on e-infrastructures, 2013

33 MIK 2.1 DBNS - Computing on e-infrastructures, 2013
Recap There are various types of e-infrastructures Different characteristics, different usages Grid computing is one of them FEDERATION is the keyword Coordination of processing and data on distributed infrastructures is difficult Workflow management systems help coordination Science gateways provide high level interfaces (web) MIK 2.1 DBNS - Computing on e-infrastructures, 2013

34 Questions?


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