Data Intensive Research Enabling and Optimising flexible 'big data' Workflows
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1 Data Intensive Research Enabling and Optimising flexible 'big data' Workflows Ian Corner Design and Implementation Lead IM&T June 2015 INFORMATION MANAGEMENT AND TECHNOLOGY (IM&T)
2 Introducing CSIRO Commonwealth Scientific and Industrial Research Organisation
3 Who we are People ~6000 Darwin Sites 55 Cairns Atherton Flagships 9 Alice Springs Townsville 2 sites Budget $1B+ Rockhampton 64% of our people hold university degrees over 2000 hold doctorates 500 hold masters We mentor 832 postgraduate research students with our university partners Perth 3 sites Murchison Geraldton 2 sites Adelaide Toowoomba Myall Vale Narrabri Parkes Mopra Gatton Irymple Griffith 3 sites Sydney 5 sites Belmont Geelong Wodonga Werribee 2 sites Hobart Sandy Bay Newcastle Bribie Island Armidale 2 sites Canberra 7 sites Melbourne 5 sites Brisbane 6 sites
4 Big ideas start here Top 10 applied research agency globally Top 1% of global research institutions in 14 of 22 research fields Top 0.1% in 4 research fields industry partners totaling $220M+ per year Key connector of Australian institutions in 6 research fields according to network analysis
5 Our operating model NATIONAL FACILITIES & COLLECTIONS Infrastructure and biological collections managed by CSIRO for the benefit of research and industry. IMPACT SCIENCE Nine National Research Flagships with a focus on the biggest challenges facing the nation. CSIRO SERVICES Commercial, customercentric products and services for industry, government and the community. SUPPORT SERVICES
6 CSIRO Collections Commonwealth Scientific and Industrial Research Organisation Australia Some of our existing collections: 12,000,000 insects 5,000 fish 1,000 strains of more than 300 microalgae species 1,000,000 herbarium, some dating back to Captain Cook s 1770 expedition to Australia 200,000 irreplaceable scientific specimens of wildlife
7 CSIRO Yesterdays Collections Physical specimens. Captured and preserved
8 CSIRO Todays Collections Digitised in the field. Automated sensing.
9 Data Intensive Research Optimising the Workflow
10 For 'big data' to have a future... As data growth and proliferation continues to outpace research grade infrastructure, do we need a new approach to the problem? What good is 'big data' if It is unable to speak? It only ever repeats the same story? It can not repeat the same story twice? It speaks so slowly the message is lost?
11 For 'big data' to have a future... As data growth and proliferation continues to outpace research grade infrastructure, do we need a new approach to the problem? 4 years ago CSIRO had: an estimated 89PB of data heading its way... What is a PB?
12 For 'big data' to have a future... As data growth and proliferation continues to outpace research grade infrastructure, do we need a new approach to the problem? 4 years ago we had: data without 'context'... Oh dear!
13 For 'big data' to have a future... As data growth and proliferation continues to outpace research grade infrastructure, do we need a new approach to the problem? 4 years ago we were: disconnected from compute... You mean we need a server to process this? 89PB
14 For 'big data' to have a future... As data growth and proliferation continues to outpace research grade infrastructure, do we need a new approach to the problem? 4 years ago we were: using 'enterprise' grade infrastructure for research 89PB Wow Shiny!
15 For 'big data' to have a future... As data growth and proliferation continues to outpace research grade infrastructure, do we need a new approach to the problem? 4 years ago CSIRO: Had an estimated 89PB of data heading its way... Had data without 'context'... Was disconnected from compute Was using enterprise grade infrastructure for research Operating in an environment of reduced funding... We had to identify and develop better ways!
16 'big data' needs to be discoverable... We started with 'discoverable'... 89PB
17 'big data' needs to be managed... We delineated the 'responsibility' between infrastructure owners and data managers.
18 'big data' needs to have relationships... We established the 'relationship' with owners, domain specialists, users and consumers.
19 'big data' needs to be optimised... Within the dataset we developed 'categories to communicate value to infrastructure.
20 'big data' needs to map to workflows... Again within the dataset we created user defined labels enabling mapping to the workflow.
21 'big data' needs to be consumable... We laid the foundation for 'delivery to non-domain consumers.
22 'big data' needs integrated workflows... We laid the foundation for 'delivery of integrated workflows.da
23 'big data' needs to be high impact... We want published and peer reviewed workflows to be 'easily mapped' into future workflows Generalised workflow Dr Edward King
24 'big data' needs to be reproducible... We laid one foundation for provenance
25 'big data' needs provenance... We laid the foundation for a 'provenance' framework.
26 'big data' summary requirements Big data needs to be: Discoverable Related to: Owners Contributors Domain specialists Manageable: Infrastructure Dataset Mappable to workflows Consumable Traceable (i.e. provenance)
27 Data Intensive Research Fit-for-purpose infrastructure
28 For 'big data' to have a future... As data growth and proliferation continues to outpace research grade infrastructure, do we need a new approach to the problem? At the infrastructure layer we had to accept that: Not all data is equal Unstructured data requires boundaries Infrastructure will come and go Data must be preserved Workflow must be optimized Provenance must be established and maintained
29 Well connected 'big data' Tight coupling and understanding the scale of data Has anyone here actually seen a GB?
30 Well connected 'big data' Tight coupling and understanding the scale of data Now what would a TB look like?
31 Well connected 'big data' Tight coupling and understanding the scale of data And a PB?
32 Well connected 'big data' Tight coupling and understanding the scale of data Orders of magnitude? x 1000 x 1000
33 Well connected 'big data' Tight coupling and understanding the scale Orders of magnitude? x 1000 x 1000
34 Well connected 'big data' Tight coupling and understanding the scale of data Orders of magnitude? x 2 ^ 10 x 2 ^ 10
35 Well connected 'big data' Tight coupling and understanding the scale of data Of course we are here to discuss Exascale
36 'big data' needs to be well connected We ensured the datasets were 'well connected' through... Tight Coupling between: Data, Code, and Compute.
37 Well connected 'big data' Tight coupling What are the basic connections? DATA Data on USB, NAS or TAPE. CODE COMPUTE
38 Well connected 'big data' Tight coupling Useful analytical tool with: no way to run nothing to analyse DATA CODE COMPUTE App licensed to a machine, code on your PC.
39 Well connected 'big data' Tight coupling Older HPC: Bring your own: Code, Data, Licenses? DATA Ouch! Benchmarks only! CODE COMPUTE
40 Well connected 'big data' Tight coupling Various other scenarios... Desktop without the grunt to scale DATA CODE Modern HPC COMPUTE CODE
41 Well connected 'big data' Tight coupling This is where your workflow comes to life and we focus on: Collecting the data Improving workflows Accelerating outcomes DATA Scientific Computing CODE COMPUTE
42 'big data' needs to be well connected... We ensured the datasets were 'well connected' through... Tight Coupling between: Data, Code, and Compute. Low latency / non-blocking infrastructure.
43 Well connected 'big data' Low latency non-blocking infrastructure Dedicated, non-blocking, short, point-to-point links,...
44 'big data' needs to be well connected... We ensured the datasets were 'well connected' through... Tight Coupling between: Data, Code, and Compute. Low latency / non-blocking infrastructure. 'Fit-for-purpose' provision of infrastructure.
45 Well connected 'big data' Fit-for-purpose infrastructure Below the line we split the technology from the workflow and abstracted the brands.
46 Well connected 'big data' Fit-for-purpose infrastructure 'Above the line' we focused on business outcomes, the generic pool of infrastructure customised to the profile of the research.
47 Well connected 'big data' Fit-for-purpose infrastructure On the line' we right-size...
48 'big data' needs to be well connected... We ensured the datasets were 'well connected' through... Tight Coupling between: Data, Code, and Compute. Low latency / non-blocking infrastructure. 'Fit-for-purpose' provision of infrastructure. Ability to 'right-size' the provisioned infrastructure: Scale Up, Scale Down, and or Scale Out.
49 Well connected 'big data' Integrated ability to right size Integrated ability to right-size infrastructure to meet changing demands
50 Data Intensive Research So where does that leave us?
51 Can we transition from having 'lots of data' into 'big data' while 'reducing cost' per PB?
52 Can we transition from having 'lots of data' into 'big data' while 'improving data management practices?'
53 Can we transition from having 'lots of data' into 'big data' while 'accelerating workflows?' STACC team have delivered storage and analysed our requirements for computing (shortly to be delivered) that has enabled us to retire significant legacy hardware, including a home-grown cluster. This solid foundational infrastructure means we are better able to deliver reliably for clients and, we now spend more time on core tasks rather than worrying about IT upkeep, admin and maintenance. Their ability to prioritise our request and streamline delivery when one of our key legacy servers went bad during the pre-provisioning phase is very much appreciated. (Edward King, CMAR, Hobart, Tasmania) This reduced our processing time per scene to about 7 1/2 minutes. Thus the total processing time for the job was reduced from 15 days to less than 24 hours. Also we reduced the I/O traffic to the data service 95%, eliminating any concerns about degrading I/O latency for other users. (Drew Deveraux, CCI, Floreat, Western Australia). I don t understand the reasons, but doubling the CPUs has made a big difference on CES-07 for example, an ARCGIS process that took about 3 days previously ran overnight! (Kristen Williams, CES, Black Mountain, Australian Capital Territory).STACC provided the streamflow forecasting team a secure, reliable storage system that has become vital to our research. It's made the secure storage of large volumes of data, and the sharing of these data, laughably easy. (James Bennett, CLW, Highett, Victoria)
54 Can we transition from having 'lots of data' into 'big data' while 'opening up new workflow possibilities'
55 Can we transition from having 'lots of data' into 'big data' while 'opening up new workflow possibilities'
56 BOWEN Research Cloud (previously STACC) Over the past 3 years, the STACC project has enabled a significant shift to what Cloud Computing really means in the context of the research workflow. It is very pleasing to see so much adoption of the capabilities across all domains of CSIRO research, which have been developed by IM&T throughout the project. It is even more exciting to see the capability extend into the broader future objectives - as a long term service supported by IM&T that will enable the connectedness and acceleration of research workflows, which will no doubt lead to big impact science outcomes! (Angus Vickery Deputy CIO, Scientific Computing Group, CSIRO)
57 CSIRO IM&T Strategy Global Data Mirrors Virtual Labs, Sci-Cloud National Digital Hub PB Petabyte Age 412PB Exabyte Age
58 For 'big data' to have a future... What good is 'big data' if If its unable to speak? If it only ever repeats the same story? If it can not repeat the same story twice? If it speaks so slowly the message is lost? If it cannot work in harmony? If it doesn't speak to the world?
59 Thank you INFORMATION MANAGEMENT AND TECHNOLOGY (IM&T)
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