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
Adaptive Computing has proven leadership in accelerating IT to speed and improve business based on our 10 + years in delivering workload management and IT decision engine software. This leadership has been recognized in many ways with:50+patents filed or approved51% revenue growth in 2010 Acceleration centric investments in 2010 from leaders like Intel Capital, Epic ventures and Tudor Ventures who recognize our HPC market strength and cloud solution leadership and opportunityGlobal partnerships with organizations like HP, IBM, Cray, Microsoft and many others who utilize our innovative and leading decision engine to make their solutions more competitive and innovative for their customersAnd most importantly by customers who us to accelerate and manage their IT environments, the most dynamic and scale-intensive on the planet, a few of which are called out here, with heterogeneous, extreme-scale, multiple data centers with complex workloads, resources and priorities and decisions that we help accelerate in self-optimizing environment.In fact our software is used on well over $2 billion of hardware
Adaptive got its start in managing workloads for HPC. So traditionally we’ve played a huge role accelerating productivity, increase uptime, enforce SLAs and make benefits work multiple cluster locations and clouds.Moab HPC Suite – Enterprise Edition provides enterprise-ready HPC workload management that brings together the key enterprise HPC use cases and capabilities as well as implementation and 24x7 support services into a single integrated product to speed the realization of benefits from their HPC system including:Productivity accelerationto get more results done faster at a lower cost with the scalability and intelligent management to maximize utilization and throughput, and even lower power consumption when workload demand fluctuates. This includes overall system and resource productivity, including scarce resources like GPGPUs and Intel Xeon Phi coprocessors. It also includes user and admin productivity with fast and simple job submission and management and reduced complexity, time and management of the cluster and its workload. Uptime automationensures workload completes successfully and reliably, avoiding failures and missed organizational opportunities and objectives. Auto-SLA enforcementschedules and adjusts workload to consistently meet service guarantees and business priorities so the right workloads are completed at the optimal times while enforcing department usage budgetsGrid- and Cloud-ready HPC managementextends the benefits of your traditional HPC environment to more efficiently manage workload and better meet workload demand with Pay-for-use showback and chargeback and the ability tomanage and share workload across multiple remote clusters to meet growing workload demand or surges(with purchase of Moab Grid Suite option)
In 2010 we announced our cloud management suite which gave data centers a full cloud lifecycle saving time and saving money.
Speaker notes: According to Gartner in a multitude of surveys we found the need to harness the power of Big Data is growing to create business opportunity from the results derived from big data. Business leaders feel the results will enhance business performance through better innovation that will deliver a competitive advantage for the business and ultimately ensure success.#1 - In Gartner's 2013 big data study, information and business leaders most often associate the term "opportunity" with "big data.Survey Analysis, Big Data Adoption in 2013 Shows Substance Behind the Hype, Lisa Kart, Nick Heudecker, Frank Buytendijk. September 13, 2013. Page 1, Subhead#2 - Enhanced information use, including big data, is key to enhancing business performance in many industries.Top Industries Predicts 2014: The Pressure for Fundamental Transformation Continues to Accelerate, Kimberly Harris-Ferrante. October 4, 2013. Page 1, 3rd bullet under Key Findings#3 – Results from the Gartner-Forbes 2012 Board of Directors Survey revealed that 50% of respondents see IT as a way to change the rulesof competition in their industry.Three Big Data Challenges for the CIO, Stephen Prentice. July 24, 2012 Refresh November 7, 2013. Page 2, 2nd paragraph under Analysis.
The Enterprise is advancing simulation and big data analysis to pursue game-changing discoveries for the business. These discoveries are not possible without big workflow optimization and scheduling software that enhances the complex, compute-intensive simulation process and analyzes big data faster, more accurately and most cost effectively. Withconverged environments, data analyst can speed the time to discovery. Eureka.
With this constellation, we are able to task, capture and deliver imagery to our customers in as little as 90 minutes; delivering critical, life saving information literally when seconds count.
Our archive holdings are over 2.3Billion Sq KM.
That’s over 15 copies of the earth, and we are now adding a new copy about every 30 days.
That’s 2 PB a year of new data being added.
For example, when typhoon Hainan devastated large portions of Indonesia. Our 16 PB archive of previous collected imagery is combined with the latest acquisitions to build near real-time updates to first responders. This image set a before and after sequence of damage during this event. You can see the devastation to the temple, and destruction of hundreds of homes.
Quote 1 - Earl Joseph, VP of Tech. Computing at IDCQuote 2 - Chirag Dekate, Ph.D., research manager, High-Performance Systems at IDC