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Big Workflow Launch from Adaptive Computing

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In this slidecast, Rob Clyde from Adaptive Computing describes Big Workflow-- the convergence of Cloud, Big Data, and HPC in enterprise computing.

"The explosion of big data, coupled with the collisions of HPC and cloud, is driving the evolution of big data analytics," said Rob Clyde, CEO of Adaptive Computing. "A Big Workflow approach to big data not only delivers business intelligence more rapidly, accurately and cost effectively, but also provides a distinct competitive advantage. We are confident that Big Workflow will enable enterprises across all industries to leverage big data that inspires game-changing, data-driven decisions."

Learn more: http://bit.ly/bigworkflow
Watch the video presentation: http://wp.me/p3RLHQ-bp2

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Big Workflow Launch from Adaptive Computing

  1. 1. Big Workflow Accelerate Insights Unify – Optimize – Guarantee 1 © 2013 ADAPTIVE COMPUTING, INC.
  2. 2. Adaptive Computing Highlights ▪ Experts in scheduling and optimization software for cloud, big data and HPC ▪ 10+ years battle-tested technology ▪ 50+ patents issued or pending ▪ Backed by top-tier investors: ▪ Global partnerships: Partners: 2 © 2013 ADAPTIVE COMPUTING, INC.
  3. 3. Broad Customer Base ▪ ▪ ▪ ▪ 3 Oil & Gas/Energy Finance, Insurance Manufacturing Government ▪ Research ▪ Pharma, Life Sciences, Bioinformati cs, Atmospheric, etc. © 2013 ADAPTIVE COMPUTING, INC.
  4. 4. Intelligent Workload Management for HPC Productivity acceleration Uptime automation • Prevent job • Max utilization 90-99% failures • Auto-respond • Max job throughput to failures • 20%+ lower power • Reduce missed USER deadlines • Simple submit/manage • Reduce support • Faster time to results costs ADMIN SYSTEM • Reduce management time/cost/complexity 4 Auto SLA enforcement • Auto adjust workload to meet SLAs • Balance competing priorities • Share resources fairly • Auto enforce usage budgets © 2013 ADAPTIVE COMPUTING, INC. Grid- & Cloud-ready management • More efficiently meet workload demand • Pay-for-use showback and chargeback • Extend collaboration • Dynamic resource provision/re-purpose • Share workload across wide area grids
  5. 5. Full Cloud Lifecycle Agile Service Delivery Basic Cloud Optimized Cloud Deliver services fast, efficiently and successfully Self-service catalog requests Auto decomissioning Auto self-healing Across the Service Lifecycle Optimized service placement Auto provisioning Showback and chargeback for usage Auto VM migration to maintain performance Reporting and management dashboard Adaptive Services and Resources Automated Management Adapt services to meet SLA’s, demand, and changing conditions Auto power management to reduce costs 5 Maximize utilization, reduce costs/complexity Capacity management optimization Auto incident response Auto maintenance and © 2013 ADAPTIVE COMPUTING, INC. future reservations
  6. 6. It’s not just about HPC or cloud for efficiency – It’s about HPC + Cloud for a purpose: Accelerate Insights Solving the Big Data Challenge 6 © 2013 ADAPTIVE COMPUTING, INC.
  7. 7. Traditional IT vs. Big Data Traditional IT Cloud ▪ ▪ ▪ ▪ ▪ ▪ ▪ Equilibrium/ Uptime Steady state - run forever Many apps per server Light compute load Light data load No scheduling needed Examples 7 ▪ ▪ ▪ Email servers Web servers CRM systems Simulation & Big Data Analysis ▪ ▪ ▪ ▪ ▪ ▪ ▪ Changing needs and load Run until insights Many servers per app Compute intensive Data intensive Scheduling crucial Examples ▪ Monte Carlo simulations ▪ Recommender systems ▪ © 2013 ADAPTIVE COMPUTING, INC. Weather prediction
  8. 8. Leverage Big Data for Data Driven Decisions Today’s Business Must Accelerate Insights To Gain A Competitive Advantage 8 © 2013 ADAPTIVE COMPUTING, INC.
  9. 9. What’s the Big Deal About Big Data Gartner Quotes  In Gartner's 2013 big data study, information and business leaders most often associate the term "opportunity" with “big data”.  Enhanced information use, including big data, is key to enhancing business performance in many industries.  Results from the Gartner-Forbes 2012 Board of Directors Survey revealed that 50% of respondents see IT as a way to change the rules of competition in their industry. 9 © 2013 ADAPTIVE COMPUTING, INC.
  10. 10. Challenges in the Data Center ▪ The data center is the logjam ▪ Process intensive data analysis and simulation ▪ ▪ ▪ ▪ ▪ ▪ Manual Time-consuming Multi step Complex dependencies Multi application Under/over used, siloed environments ▪ IT can collect and store data ▪ IT struggles to extract results to impact the business 10 © 2013 ADAPTIVE COMPUTING, INC.
  11. 11. Eliminate the Logjam ▪ Streamline the workflow ▪ By leveraging ▪ Scheduling and optimization ▪ Advanced policies ▪ All data center environments HPC, Cloud and Big Data ▪ Big Data + Workflow = Big Workflow ▪ Eliminate the logjam with Big Workflow 11 © 2013 ADAPTIVE COMPUTING, INC.
  12. 12. Big Workflow Accelerates Insights that Inspire Game-Changing, Data-Driven Decision ▪ Unify datacenter resources ▪ ▪ ▪ ▪ As a single, adaptive ecosystem Public and Private Cloud HPC VMs and Bare Metal ▪ Optimize the analysis process ▪ Increase throughput and productivity ▪ Reduce cost, complexity and errors ▪ Guarantee Service to the business ▪ ▪ ▪ ▪ 12 Ensure SLAs Maximize Uptime Prove services were delivered Verify resources were allocated fairly © 2013 ADAPTIVE COMPUTING, INC.
  13. 13. REALLY BIG DATA DigitalGlobe Case Study Global Satellite Imagery Provider 13 © 2013 ADAPTIVE COMPUTING, INC.
  14. 14. DigitalGlobe – 14 © 2013 ADAPTIVE COMPUTING, INC.
  15. 15. DigitalGlobe’s Big Data Challenges 15 © 2013 ADAPTIVE COMPUTING, INC.
  16. 16. Big Data Challenges 16 © 2013 ADAPTIVE COMPUTING, INC.
  17. 17. Big Data Challenges Each Year Digital Globe Collects 17 © 2013 ADAPTIVE COMPUTING, INC.
  18. 18. Typhoon Haiyan ▪ How can DigitalGlobe Respond <90 mins.? ▪ Moab is at the data center core ▪ Breaks down siloes ▪ Increases maximum workflow capacity ▪ Optimizes the analysis process ▪ “Without Moab, DigitalGlobe could not do what we do responsively” 18 © 2013 ADAPTIVE COMPUTING, INC. Several hours before Typhoon Haiyan made landfall, DG activated FirstLook. In the first few days, 19,000 square kilometers of imagery, in the hardest hit areas, was collected.
  19. 19. IDC Agrees "The most surprising findings of the 2013 study are the substantially increased penetration of co-processors and accelerators at HPC sites around the world, along with the large proportion of sites that are applying Big Data technologies and methods to their problems, and the steady growth in cloud computing for HPC.” ▪ ▪ ▪ Big Data Growth – $10.9 billion in 2013 October 2103 – $23.8 billion in 2016 2013 Worldwide HPC End User Study High Performance Data Analysis Report – 67% said they perform Big Data analysis on their HPC systems, – 30% of the available computing cycles devoted on average to Big Data analysis work Cloud Computing Report – The sites exploiting cloud computing to address parts of their HPC workloads rose from 13.8% in 2011 to 23.5% in 2013, with public and private cloud use about equally represented “Two thirds of HPC sites are now performing big data analysis as part of their HPC workloads, as well as an uptick in combined uses of cloud computing and supercomputing. As there is no shortage of big data to analyze and no sign of it slowing down, combined uses of cloud and HPC will occur with greater frequency, creating market opportunities for solutions such as Adaptive’s Big Workflow.” 19 © 2013 ADAPTIVE COMPUTING, INC.
  20. 20. BIG WORKFLOW It’s not just about HPC or cloud for efficiency It’s about HPC + Cloud for a purpose: Accelerate Insights 20 © 2013 ADAPTIVE COMPUTING, INC.

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