Mars as a Service: Cloud Computing for the Red Planet Exploration Era

By Dr. Jose Luis Vazquez-Poletti

February 3, 2011

What do clouds and a distant red planet with a thin atmosphere have in common? Dr. Jose Luis Vazquez-Poletti from Universidad Complutense de Madrid explains how cloud computing is being deployed in innovative space missions that take aim at Mars.  He reports on the outcome of a meeting of the Mars MetNet Mission, which was held at the Finnish Meteorological Institute headquarters in Helsinki and describes in detail some of the cutting-edge research that is making use of cloud-based resources to handle the massive data expected.

The MetNet project aims to go where no other Mars missions have gone before, at least in terms of the way it will gather and then process data. This mission to Mars will be based on the power of a new type of dandelion seed-shaped, semi-hard landing vehicle called the MetNet Lander.

The leaders of the mission hope to deploy several of these oddly-shaped landers (as shown to the left) on Martian soil. While these lofty goals will take shape over a number of years, the first step in the mission to launch a MetNet Mars precursor mission with the first few landers being deployed in the coming year.

The main idea behind these vehicles is that by using a state-of-the-art inflatable entry and descent systems (instead of rigid heat shields and parachutes like those from the earlier semi-hard landing devices) the ratio of the payload mass to the overall mass is optimized. This means that more mass and volume resources are spared for the science payload.

The scientific payload of the Mars MetNet Mission encompasses separate instrument packages for the Martian surface operation phase. At the Martian surface, the lander will take panoramic pictures and will also perform observations of pressure, temperature, humidity, magnetism, as well as atmospheric optical depth.

The network of MetNet landers will provide valuable scientific data, decisive for studying the Martian atmosphere and its phenomena. Countries involved are Finland (Finnish Meteorological Institute), Russia  (Lavochkin Space Association and Russian Space Institute) and Spain (Instituto Nacional de Técnica Aerospacial).

The collaboration developed in Mars MetNet by our group, the Distributed Systems Architecture Research Group led by Prof. Ignacio M. Llorente from the Universidad Complutense de Madrid has much to do with cloud computing… in fact, the collaborative effort is dedicated to using cloud computing for boosting all possible applications pertaining to the Mars mission, as will be explained in greater detail in a moment.

Project Details

We began this collaboration with the Mars MetNet Mission more than a year ago, when they were dealing with the tracing of Phobos, the biggest Martian moon which orbits at about 9,400 Km (5,800 miles) distance from the planet’s center, completing its cycle nearly 3 times a day (a Martian day lasts 24:39 hours).

The prediction of each Phobos’ eclipse is important for the onboard instruments, which obviously depend on the landing coordinates. The challenge arises when the approximated landing area is not known until two hours before the touchdown. For this reason, an application for tracing Phobos was developed by the Meiga-MetNet Team, in order to provide a Phobos cyclogram, which is the trajectory of the Martian moon in Astronomy terms, using coordinates, dates and time intervals as an input. This way, the MetNet lander would achieve its exact location on the Martian surface by comparing the position of Phobos and the cyclogram, that is to be sent to the probe before the landing procedure.

Martian Clouds

We performed an initial parallelization of the application so that the complete set of coordinates pertaining to the approximated landing area can be processed with a desired grain. This process of profiling brought us to the conclusion that the needed hardware could be too expensive for executing this HPC application only twice a year. We had no way of even knowing if there would be other uses for this costly hardware either.

For this reason we turned to Amazon EC2, the de facto standard public cloud, attracted by its high speed deployment and its “pay-as-you-go” basis. Because all the possible setups that Amazon EC2 was offering by means of instance types and number, we crafted and validated an execution model for the application considering time, cost and a metric involving both [1].  This way, the optimal infrastructure could be obtained given a problem size.

Considering one of the possible setups, its baremetal equivalent could be a cluster consisting in 37 nodes of the latest HP Proliant DL170 G6 Server (for example). Taking its web price of $4,909 per node, we would get our machines for $181,633 without considering any other expenses like shipping or insurances. Great, but… what about electricity? Administrator’s salary? Startup time? Even more, are we going to use this infrastructure at full power in a 24×7 fashion? Probably not.

On the other hand and according to our model, Amazon EC2 provides the needed infrastructure for $7.50.

During the meeting, I performed a comprehensive presentation explaining what Cloud Computing is and its elements to the rest of the Mars MetNet Scientific Team. The best way to make a base scientist understand Cloud Computing is to provide a good assortment of working examples and success stories. Of course, I recommended “HPC in the Cloud” as one of the main sources of news about our favorite technology.

Among these examples was the NASA case. They begun with the Nebula initiative in 2009, providing an alternative to the costly construction of additional data centers whenever NASA scientist or engineers require additional processing. This is accomplished in a fancy way and, in my point of view, following a real life “on demand” definition, as truck containers are delivered to the demanding research centers. These shipping containers can hold up to 15,000 CPU cores or 15 petabytes of storage while proving 50% more energy efficient than traditional data centers.

However, NASA decided last December 2010 to make another step on its Cloud path: they started to use the Amazon public cloud for its ATHLETE (All-Terrain Hex-Limbed Extra-Terrestrial Explorer), to be commissioned to future Mars exploring Missions. Machine instances from Amazon EC2 are used for processing satellite high-definition images in order to take navigation decisions.

But one year before NASA, the Mars MetNet Mission was already using Amazon EC2 as I explained at the beginning of this article. The results obtained for the locations of the different Martian probes were presented during the meeting and the detection of eclipses was confirmed by the experimental (and historic) data retrieved. This confirmed that the Phobos tracing model will help the Mars MetNet Mission and that Cloud Computing will be an indispensable tool, due to the huge amount of computational power needed in a very short term of time.

After my presentation, a new application was proposed. This time it has to do with the process of the meteorological data from landers pertaining to previous Mars Missions. This work has much to do with what could be addressed as “Archaeological Computing”, because much of the raw data is about 30  years old! Despite its age, the meteorological information obtained from the landers will be very useful for the Mars MetNet Mission.

The amount of data is huge and parallelization may solve some of the problems, considering several processes which respond to certain parameters. These parameters are provided by a Meteorological Model, developed within the Finnish Meteorological Institute. However, computing resource availability is another thing to take into account regarding the numerous application executions needed, so this is where a public cloud infrastructure helps reaching the goal.

But the advantages are more, because the final framework is intended to be used with the data obtained by the Mars MetNet probe, and it will be increased while more probes from the meteorological network become part of the Martian landscape.

To conclude, space missions are bringing many HPC challenges and adopting cloud computing is a decisive move for meeting them. Additionally, all research done on cloud computing for fulfilling the space mission’s demands will revert in other areas, as other achievements outside computing already did–like lyophilized food or Velcro straps.

If you are curious about the landing procedure of these dandelion-seed-shaped landers, I really encourage you to visit the Mars MetNet Mission website and watch the animation.

About the Author

Dr. Jose Luis Vazquez-Poletti is Assistant Professor in Computer Architecture at Universidad Complutense de Madrid (Spain), and a Cloud Computing Researcher. He is (and has been) directly involved in EU funded projects, such as EGEE (Grid Computing) and 4CaaSt (PaaS Cloud), as well as many Spanish national initiatives. His interests lie mainly in how the Cloud benefits real life applications, specially those pertaining to the High Performance Computing domain.

Dr. Vazquez-Poletti is also the author of a popular article that appeared in HPC in the Cloud describing a range of upcoming cloud computing research projects pending in Europe.

Linkedin: http://es.linkedin.com/in/jlvazquezpoletti/

Website: http://dsa-research.org/jlvazquez/

[1] J. L. Vázquez-Poletti, G. Barderas, I. M. Llorente and P. Romero: A Model for Efficient Onboard Actualization of an Instrumental Cyclogram for the Mars MetNet Mission on a Public Cloud Infrastructure. PARA2010: State of the Art in Scientific and Parallel Computing, Reykjavík (Iceland), June 2010. Proceedings to appear in Lecture Notes in Computer Science (LNCS).
 

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!

Fostering Lustre Advancement Through Development and Contributions

January 17, 2018

Six months after organizational changes at Intel's High Performance Data (HPDD) division, most in the Lustre community have shed any initial apprehension around the potential changes that could affect or disrupt Lustre Read more…

By Carlos Aoki Thomaz

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 received a patent for a "processor design, which allows rep Read more…

By Tiffany Trader

SRC Spends $200M on University Research Centers

January 16, 2018

The Semiconductor Research Corporation, as part of its JUMP initiative, has awarded $200 million to fund six research centers whose areas of focus span cognitive computing, memory-centric computing, high-speed communicat Read more…

By John Russell

HPE Extreme Performance Solutions

HPE and NREL Take Steps to Create a Sustainable, Energy-Efficient Data Center with an H2 Fuel Cell

As enterprises attempt to manage rising volumes of data, unplanned data center outages are becoming more common and more expensive. As the cost of downtime rises, enterprises lose out on productivity and valuable competitive advantage without access to their critical data. Read more…

US Seeks to Automate Video Analysis

January 16, 2018

U.S. military and intelligence agencies continue to look for new ways to use artificial intelligence to sift through huge amounts of video imagery in hopes of freeing analysts to identify threats and otherwise put their Read more…

By George Leopold

Fostering Lustre Advancement Through Development and Contributions

January 17, 2018

Six months after organizational changes at Intel's High Performance Data (HPDD) division, most in the Lustre community have shed any initial apprehension aroun Read more…

By Carlos Aoki Thomaz

SRC Spends $200M on University Research Centers

January 16, 2018

The Semiconductor Research Corporation, as part of its JUMP initiative, has awarded $200 million to fund six research centers whose areas of focus span cognitiv Read more…

By John Russell

When the Chips Are Down

January 11, 2018

In the last article, "The High Stakes Semiconductor Game that Drives HPC Diversity," I alluded to the challenges facing the semiconductor industry and how that may impact the evolution of HPC systems over the next few years. I thought I’d lift the covers a little and look at some of the commercial challenges that impact the component technology we use in HPC. Read more…

By Dairsie Latimer

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

Momentum Builds for US Exascale

January 9, 2018

2018 looks to be a great year for the U.S. exascale program. The last several months of 2017 revealed a number of important developments that help put the U.S. Read more…

By Alex R. Larzelere

ANL’s Rick Stevens on CANDLE, ARM, Quantum, and More

January 8, 2018

Late last year HPCwire caught up with Rick Stevens, associate laboratory director for computing, environment and life Sciences at Argonne National Laboratory, f Read more…

By John Russell

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

The @hpcnotes Predictions for HPC in 2018

January 4, 2018

I’m not averse to making predictions about the world of High Performance Computing (and Supercomputing, Cloud, etc.) in person at conferences, meetings, causa Read more…

By Andrew Jones

US Coalesces Plans for First Exascale Supercomputer: Aurora in 2021

September 27, 2017

At the Advanced Scientific Computing Advisory Committee (ASCAC) meeting, in Arlington, Va., yesterday (Sept. 26), it was revealed that the "Aurora" supercompute 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

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

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

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

GlobalFoundries Puts Wind in AMD’s Sails with 12nm FinFET

September 24, 2017

From its annual tech conference last week (Sept. 20), where GlobalFoundries welcomed more than 600 semiconductor professionals (reaching the Santa Clara venue Read more…

By Tiffany Trader

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

Leading Solution Providers

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

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

Delays, Smoke, Records & Markets – A Candid Conversation with Cray CEO Peter Ungaro

October 5, 2017

Earlier this month, Tom Tabor, publisher of HPCwire and I had a very personal conversation with Cray CEO Peter Ungaro. Cray has been on something of a Cinderell Read more…

By Tiffany Trader & Tom Tabor

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

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

HPC Chips – A Veritable Smorgasbord?

October 10, 2017

For the first time since AMD's ill-fated launch of Bulldozer the answer to the question, 'Which CPU will be in my next HPC system?' doesn't have to be 'Whichever variety of Intel Xeon E5 they are selling when we procure'. Read more…

By Dairsie Latimer

Nvidia, Partners Announce Several V100 Servers

September 27, 2017

Here come the Volta 100-based servers. Nvidia today announced an impressive line-up of servers from major partners – Dell EMC, Hewlett Packard Enterprise, IBM Read more…

By John Russell

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

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