An Impetus for Big Data Clouds

By Nicole Hemsoth

May 20, 2011

The intersection between the “big data buzz” and cloud computing holds some interest for those considering HPC clouds, especially as it invokes a number of concerns about data movement and management.

This week we spent some time weighing the possibilities that await big data clouds with Impetus Technologies, a software product engineering company that straddles the cloud/big data line.

While Impetus is but one of a growing number of companies on the big data cloud track, Vineet Tyagi who heads the company’s labs division, has been watching the lead-up to this merger of cloud computing and massive information for some time.

We talked about this momentum and the role of key open source data management technologies several months ago, but since then, conversations about the big data cloud have gathered more steam. In light of the increased interest, his company is hosting a web-based session that will address the numerous scalability, maintenance, performance challenges and security concerns that involve big data clouds. Impetus hopes to put these challenges in context by using real-world examples, a feature that can be more helpful for such problems than an abstract discussion.

We reached out to Tyagi to get some early answers to some of the questions they will be addressing on May 27 (details about the big data cloud session here).

HPCc: Cloud computing and big data are increasingly being used in the same sentence since in many ways, the cheap offsite storage saves room and other costs in the short term. However,  don’t you think the future of “big data in the cloud” is limited by significant data movement issues? How are these overcome?

Tyagi: Cloud based deployments and big data problems certainly go hand in hand WHEN this big data is already present in the Cloud. Network usage is still a major revenue earner for Cloud vendors which means that getting your data in and out of the cloud is still relatively expensive. Some cloud vendors are trying to make this easier by providing alternative bulk upload mechanisms. For example, AWS allows you to ship your data in hard drives by courier/post that can be offline uploaded to AWS cloud storage.   

HPCc: What are some big data problems that are best suited to the cloud (and by cloud we mean a service like EC2) and on the flip side, which ones are best kept in house?

Tyagi: Any business problems where the big data sources can be generated or captured in the cloud are a perfect fit for cloud deployments. Web applications, web crawlers or data churning applications, OLTP or OLAP solutions deployed on cloud can benefit from the elastic compute nature of the cloud for running the application as well as to reap the additional benefits of big data analytics solutions deployed on the same cloud.

HPCc: What is your opinion of the quality and usability of Amazon’s HPC-geared Cluster Compute Instance type? How often have you worked with customers creating or migrating applications to and what were the biggest problems and benefits?

Tyagi: The AWS HPC Cloud offering is certainly going to be a major game changer with new opportunities for software developers to harness this on-demand computing power. The biggest benefit with HPC centric solutions is that it allows problem resolutions in considerably lesser cost vis-à-vis the traditional solutions. This benefit is enhanced by use of HPC Cloud since now the CAPEX costs for HPC are reduced to zero.

The biggest concerns include assuaging the issues with cloud security, building up the customer confidence in the Cloud and then readying the application for the Cloud deployment.

Choosing the right cloud is also a problem when planning to move the application to a cloud PaaS or SaaS where the application might need to be re-written. Even in the IaaS offerings, various decisions have to be taken into consideration with respect to the Cloud resources quality, SLAs, support, security compliance etc.

HPCc: As your company plays a different role in several arenas, we are curious—what is the role of open source software in the cloud computing paradigm shift as a whole?

Tyagi: Open source is one of the key drivers for cloud computing since the open source community recognized its potential early on and was able to quickly transform and evolve around the cloud.

HPCc: Can you provide one of the best examples you know of that involves very large datasets and the cloud?

Tyagi: There are plenty of examples but one of the most famous one is the NY Times AWS usage. The New York Times used 100 Amazon EC2 instances and a Hadoop application to process 4TB of raw image TIFF data (stored in S3) into 11 million finished PDFs in the space of 24 hours at a computation cost of about $240.

And one funny anecdote, rather a rumor that is making rounds is that the NY Times engineers made a mistake in running the process the first time so they had to run it twice and ended up paying $480.

As a side note: As mentioned above, last year we spent some time talking to Vineet in person during the Cloud Expo event in Santa Clara, California where he shared some insights on using cloud computing to tackle some large data problems. The “mafia connection” to the cloud is a rather interesting one well—just as carmaker Chevy once named a car Nova, which in Spanish means “no go” (quite an oversight) so too does the phrase “in the cloud” have some interesting associations outside of the English language.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Topological Quantum Superconductor Progress Reported

February 20, 2018

Overcoming sensitivity to decoherence is a persistent stumbling block in efforts to build effective quantum computers. Now, a group of researchers from Chalmers University of Technology (Sweden) report progress in devisi Read more…

By John Russell

Fluid HPC: How Extreme-Scale Computing Should Respond to Meltdown and Spectre

February 15, 2018

The Meltdown and Spectre vulnerabilities are proving difficult to fix, and initial experiments suggest security patches will cause significant performance penalties to HPC applications. Even as these patches are rolled o Read more…

By Pete Beckman

Intel Touts Silicon Spin Qubits for Quantum Computing

February 14, 2018

Debate around what makes a good qubit and how best to manufacture them is a sprawling topic. There are many insistent voices favoring one or another approach. Referencing a paper published today in Nature, Intel has offe Read more…

By John Russell

HPE Extreme Performance Solutions

Safeguard Your HPC Environment with the World’s Most Secure Industry Standard Servers

Today’s organizations operate in an environment with ever-evolving threats, and in order to protect themselves they must continuously bolster their security strategy. Hewlett Packard Enterprise (HPE) and Intel® are addressing modern security challenges with the world’s most secure industry standard servers powered by the latest generation of Intel® Xeon® Scalable processors. Read more…

Brookhaven Ramps Up Computing for National Security Effort

February 14, 2018

Last week, Dan Coats, the director of Director of National Intelligence for the U.S., warned the Senate Intelligence Committee that Russia was likely to meddle in the 2018 mid-term U.S. elections, much as it stands accused of doing in the 2016 Presidential election. Read more…

By John Russell

Fluid HPC: How Extreme-Scale Computing Should Respond to Meltdown and Spectre

February 15, 2018

The Meltdown and Spectre vulnerabilities are proving difficult to fix, and initial experiments suggest security patches will cause significant performance penal Read more…

By Pete Beckman

Brookhaven Ramps Up Computing for National Security Effort

February 14, 2018

Last week, Dan Coats, the director of Director of National Intelligence for the U.S., warned the Senate Intelligence Committee that Russia was likely to meddle in the 2018 mid-term U.S. elections, much as it stands accused of doing in the 2016 Presidential election. Read more…

By John Russell

AI Cloud Competition Heats Up: Google’s TPUs, Amazon Building AI Chip

February 12, 2018

Competition in the white hot AI (and public cloud) market pits Google against Amazon this week, with Google offering AI hardware on its cloud platform intended Read more…

By Doug Black

Russian Nuclear Engineers Caught Cryptomining on Lab Supercomputer

February 12, 2018

Nuclear scientists working at the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF) have been arrested for using lab supercomputing resources to mine crypto-currency, according to a report in Russia’s Interfax News Agency. Read more…

By Tiffany Trader

The Food Industry’s Next Journey — from Mars to Exascale

February 12, 2018

Global food producer and one of the world's leading chocolate companies Mars Inc. has a unique perspective on the impact that exascale computing will have on the food industry. Read more…

By Scott Gibson, Oak Ridge National Laboratory

Singularity HPC Container Start-Up – Sylabs – Emerges from Stealth

February 8, 2018

The driving force behind Singularity, the popular HPC container technology, is bringing the open source platform to the enterprise with the launch of a new vent Read more…

By George Leopold

Dell EMC Debuts PowerEdge Servers with AMD EPYC Chips

February 6, 2018

AMD notched another EPYC processor win today with Dell EMC’s introduction of three PowerEdge servers (R6415, R7415, and R7425) based on the EPYC 7000-series p Read more…

By John Russell

‘Next Generation’ Universe Simulation Is Most Advanced Yet

February 5, 2018

The research group that gave us the most detailed time-lapse simulation of the universe’s evolution in 2014, spanning 13.8 billion years of cosmic evolution, is back in the spotlight with an even more advanced cosmological model that is providing new insights into how black holes influence the distribution of dark matter, how heavy elements are produced and distributed, and where magnetic fields originate. Read more…

By Tiffany Trader

Inventor Claims to Have Solved Floating Point Error Problem

January 17, 2018

"The decades-old floating point error problem has been solved," proclaims a press release from inventor Alan Jorgensen. The computer scientist has filed for and Read more…

By Tiffany Trader

Japan Unveils Quantum Neural Network

November 22, 2017

The U.S. and China are leading the race toward productive quantum computing, but it's early enough that ultimate leadership is still something of an open questi Read more…

By Tiffany Trader

AMD Showcases Growing Portfolio of EPYC and Radeon-based Systems at SC17

November 13, 2017

AMD’s charge back into HPC and the datacenter is on full display at SC17. Having launched the EPYC processor line in June along with its MI25 GPU the focus he Read more…

By John Russell

Researchers Measure Impact of ‘Meltdown’ and ‘Spectre’ Patches on HPC Workloads

January 17, 2018

Computer scientists from the Center for Computational Research, State University of New York (SUNY), University at Buffalo have examined the effect of Meltdown Read more…

By Tiffany Trader

IBM Begins Power9 Rollout with Backing from DOE, Google

December 6, 2017

After over a year of buildup, IBM is unveiling its first Power9 system based on the same architecture as the Department of Energy CORAL supercomputers, Summit a Read more…

By Tiffany Trader

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Fast Forward: Five HPC Predictions for 2018

December 21, 2017

What’s on your list of high (and low) lights for 2017? Volta 100’s arrival on the heels of the P100? Appearance, albeit late in the year, of IBM’s Power9? Read more…

By John Russell

Russian Nuclear Engineers Caught Cryptomining on Lab Supercomputer

February 12, 2018

Nuclear scientists working at the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF) have been arrested for using lab supercomputing resources to mine crypto-currency, according to a report in Russia’s Interfax News Agency. Read more…

By Tiffany Trader

Leading Solution Providers

Chip Flaws ‘Meltdown’ and ‘Spectre’ Loom Large

January 4, 2018

The HPC and wider tech community have been abuzz this week over the discovery of critical design flaws that impact virtually all contemporary microprocessors. T Read more…

By Tiffany Trader

Perspective: What Really Happened at SC17?

November 22, 2017

SC is over. Now comes the myriad of follow-ups. Inboxes are filled with templated emails from vendors and other exhibitors hoping to win a place in the post-SC thinking of booth visitors. Attendees of tutorials, workshops and other technical sessions will be inundated with requests for feedback. Read more…

By Andrew Jones

How Meltdown and Spectre Patches Will Affect HPC Workloads

January 10, 2018

There have been claims that the fixes for the Meltdown and Spectre security vulnerabilities, named the KPTI (aka KAISER) patches, are going to affect applicatio Read more…

By Rosemary Francis

GlobalFoundries, Ayar Labs Team Up to Commercialize Optical I/O

December 4, 2017

GlobalFoundries (GF) and Ayar Labs, a startup focused on using light, instead of electricity, to transfer data between chips, today announced they've entered in Read more…

By Tiffany Trader

Tensors Come of Age: Why the AI Revolution Will Help HPC

November 13, 2017

Thirty years ago, parallel computing was coming of age. A bitter battle began between stalwart vector computing supporters and advocates of various approaches to parallel computing. IBM skeptic Alan Karp, reacting to announcements of nCUBE’s 1024-microprocessor system and Thinking Machines’ 65,536-element array, made a public $100 wager that no one could get a parallel speedup of over 200 on real HPC workloads. Read more…

By John Gustafson & Lenore Mullin

Flipping the Flops and Reading the Top500 Tea Leaves

November 13, 2017

The 50th edition of the Top500 list, the biannual publication of the world’s fastest supercomputers based on public Linpack benchmarking results, was released Read more…

By Tiffany Trader

V100 Good but not Great on Select Deep Learning Aps, Says Xcelerit

November 27, 2017

Wringing optimum performance from hardware to accelerate deep learning applications is a challenge that often depends on the specific application in use. A benc Read more…

By John Russell

SC17: Singularity Preps Version 3.0, Nears 1M Containers Served Daily

November 1, 2017

Just a few months ago about half a million jobs were being run daily using Singularity containers, the LBNL-founded container platform intended for HPC. That wa Read more…

By John Russell

  • arrow
  • Click Here for More Headlines
  • arrow
Share This