{"id":1632,"date":"2010-09-01T07:45:00","date_gmt":"2010-09-01T07:45:00","guid":{"rendered":"http:\/\/localhost\/projects\/horsesforsources\/cern-lse-083010\/"},"modified":"2010-09-01T07:45:00","modified_gmt":"2010-09-01T07:45:00","slug":"cern-lse-083010","status":"publish","type":"post","link":"https:\/\/www.horsesforsources.com\/cern-lse-083010\/","title":{"rendered":"Finding a needle in 20 million haystacks: CERN’s Computing Grid creates a vision for Cloud Business Services"},"content":{"rendered":"

\"\"In order to understand better\u00a0the business potential of Cloud-esque environments to drive innovation, you could do a lot worse than have a look at the\u00a0scientists who’ve been using their own version of Cloud for years:\u00a0 Grid Computing.<\/strong>\u00a0\u00a0 When you get into areas such as particle physics, these folks need all the computing grunt and pooled brain-power they can muster to succeed.\u00a0<\/p>\n

At HfS, we’ve partnered with the Outsourcing Unit at the London School of Economics<\/a> (LSE)\u00a0to determine the future potential of Cloud Business Services<\/em> by studying the needs, concerns, intentions and views\u00a0of business-line executives, and not solely the IT department.\u00a0<\/p>\n

There’s been so much noise focused on the technology implications of Cloud, and not enough attention placed on how business executives intend to apply<\/em> Cloud services within their own business environments.\u00a0 At the end of the day, some firms will succeed in driving down IT\u00a0infrastructure costs using Cloud models, but the real\u00a0momentum will come from the business processes<\/em>\u00a0that can be delivered to organizations that\u00a0have all the associated application workflow and infrastructure already provisioned in the Cloud.\u00a0\u00a0\u00a0\u00a0<\/p>\n

We’ll be launching a study very shortly with the LSE and will appreciate all of you taking part, but first we wanted to talk about the LSE’s experiences with the Worldwide LHC Computing Grid<\/strong> (WLCG); a global collaboration phenomenon that\u00a0links grid infrastructures and computer centres worldwide.\u00a0Its purpose\u00a0is to distribute, store and analyse the immense amounts of data generated by\u00a0\u00a0a gigantic scientific instrument on the Franco-Swiss border,\u00a0called a\u00a0Large Hadron Collider <\/a>(LHC) at The European Organization for Nuclear Research (CERN<\/a>), which\u00a0is\u00a0used by physicists to study the smallest known atomic particles.\u00a0 This LHC is the largest scientific instrument on the planet, producing 15 Petabytes (15\u00a0million Gigabytes) of data annually, which thousands of scientists around the world access and analyse.<\/p>\n

The idea is to provision\u00a0a data storage and analysis infrastructure for the entire high-energy physics community – not too dissimilar from a Private Cloud environment\u00a0where users can plug in to the shared environment and access the\u00a0 applications\u00a0they need, without stacks of IT hardware in\u00a0the basement\u00a0to house the data, or IT personnel on site needed to maintain and support the infrastructure.\u00a0 Today, the WLCG combines the computing resources of more than 100,000 processors from over 130 sites in 34 countries, producing a massive distributed computing infrastructure that provides more than 8,000 physicists around the world with near real-time access to LHC data, and the power to process it.<\/p>\n

OK – that’s a lot of numbers, so we managed to grab the LSE’s Dr Will Venters as he was venturing off the squash-court to\u00a0his local pub,\u00a0to explain more to us business philistines why this project is to relevant to Cloud services and outsourcing…<\/p>\n

\"\"<\/a><\/p>\n

Dr. Will Venters, the London School of Economics<\/p>\n<\/div>\n

Phil Fersht: <\/strong>Will, you\u2019re involved in a fascinating research study\u00a0that\u00a0focuses on how\u00a0thousands of particle physicists around the world are collaboratively using the grid \u2013 a microcosm of the cloud \u2013 to capture, process and analyze huge volumes of data being produced by CERN, Europe\u2019s particle physics laboratory in Geneva. For readers who aren\u2019t well-versed in particle physics, would you please give us a brief overview so we can understand the importance of using the grid for the data the physicists are working with?<\/span><\/p>\n

Dr. Will Venters:<\/strong>\u00a0 Sure Phil. Particle physicists recreate the conditions just after the \u201cbig bang\u201d and analyze particle collisions to discover the mechanisms by which the universe, and therefore the atoms and molecules that form all matter came into being. They reproduce these collisions in CERN\u2019s Large Hadron Collider, or LHC, which produces vast numbers of three-dimensional pictures of particle collisions for the physicists to analyze for \u201cnew physics\u201d events. One of the most interesting examples is to discover the Higgs Boson, the so-called \u201cgod particle,\u201d which could provide an explanation for \u201cmass\u201d in the universe, hence linking gravity into the standard physics model. But finding one Higgs is like finding a needle in 20 million haystacks, so the physicists must analyze a massive number of pictures \u2013 which equates to 12 to 14 million gigabytes of data per year \u2013 if they are going to find enough evidence to prove it actually exists. So the LHC Computing Grid, which consists of many distributed computers, CPUs and disk servers at over 170 computer centers around the world, was created to give 8,000 physicists in 34 countries the ability to draw on very large amounts of computing power to collaboratively review and analyze all the particle collisions created in the LHC.<\/p>\n

As a lecturer in information systems at the London School of Economics, I was fascinated by how they coordinate themselves and go about developing and managing this widely distributed resource. I therefore got a research grant and employed a team to follow the particle physics community in the UK and CERN as developed its grid for the LHC..<\/p>\n

Phil Fersht: <\/strong>So what have you observed during your research?<\/span><\/p>\n

Dr. Will Venters<\/strong>: The particle physics community has a long history of developing quite advanced prototype computer systems. It\u2019s also a community with a long history of collaborative work practice. And they collectively understood the only way they were going to be able to realize the data from the LHC was to get the grid to work. One very interesting thing we observed is they didn\u2019t go about it way normal project managers would do it. They approached it as scientists and as a scientific endeavor, rather than as developing a large-scale computer system the way a big systems integrator might. They have very informal organizational structures. There is a strong hierarchy in that somebody is the leader, but they don\u2019t have the power or muscle to drive things. They just use more charisma and soft leadership type techniques in order to drive the project forward. But it\u2019s a project being collectively driven by a very committed group of people. Interestingly, they use pretty un-advanced collaboration tools. They use blogs, wikis and very simple video conferencing \u2013 but they use them an awful lot. They\u2019ve developed a way of working with these relatively simple web tools that not only helps pull the project together but also helps hold the sense of community together in a much different way than the formal control type management you might see elsewhere.<\/p>\n

Phil Fersht:<\/strong>\u00a0 The dynamics within this collaborative community sound fascinating. Can you talk a bit more about more about the scientists go about organizing discussions, learning from each other, sharing findings\u00a0etc.?<\/span><\/p>\n

Dr. Will Venters:<\/strong>\u00a0\u00a0We developed a distinctive description of the physicists work practices based on the idea of paradox and tensions\u2026 the only way we can effectively describe what this community is doing is the idea of paradox. While they\u2019re individually being quite fluid and flexible, they were also quite tightly focused on developing their grid and getting it to work so they could produce data. But there was tension coupled with anxious confidence due to the community\u2019s long history of previous creative and successful work. One of the things we observed was the idea of learned improvisation \u2013 that you don\u2019t improvise just because you can. You actually learn how to do it in the same way you learn play to jazz, and even though jazz is highly improvisational, there are actually themes running through it. Similarly, this community had themes running through it, and the members improvised based on many things they\u2019d done and learned in the past. Another thing we observed was the tension between wanting to organize, control and have strong collaborative structures, versus the need to say, \u201cWe\u2019re all clever individuals and work really hard, and so we should all be allowed to have individuality and the ability to work on our own.\u201d When you visit CERN, you see the kind of rocket science side of things, this massive, great experiment. But parts of CERN are like a 1950\u2019s university campus with drab offices and basements filled with old bits of rusting technology. I think that well describes how they are collectively comfortable with accepting bits of imperfection as long as the important parts are working.<\/p>\n

Phil Fersht:<\/strong>\u00a0\u00a0When you look at the project in its entirety and where it is today \u2013 what has been achieved that wouldn\u2019t have been without the grid?<\/span><\/p>\n

Dr. Will Venters:<\/strong> They wouldn\u2019t be able to do the extremely high level of precision analysis required without access to the grid. The huge volume of data produced by the LHC needs something in the form of grid technology to allow the physicists to keep track of it and to do the analysis. They couldn\u2019t do it with clusters of computers or individual computers \u2013 they would just get lost in a jumble of data.<\/p>\n

This project has also driven forward the science agenda in other sciences. In some sense, they\u2019ve shown leadership in how to develop grid computing which has led to new developments in other areas of science.<\/p>\n

Phil Fersht:<\/strong> What\u2019s next for this project? Do you think this grid will move into more of a Cloud-based environment, or do you think it\u2019s going to build upon its own infrastructure?<\/span><\/p>\n

Dr. Will Venters:<\/strong> There is a move to see if the National Grid Service (electrical power)\u00a0in the U.K. should become more of a Cloud type of resource for supercomputing. They are looking at whether they should be using cloud for peak demand and when the demand outstrips the capacity of even their grid. They are also looking at whether they should be providing a cloud resource to other areas. But once they can do the data analysis out of the LHC, their interest in the development of the grid will start to wane as working with 12 to 14 million gigabytes of information will become a trivial challenge in the long term. Their experience on previous experiments, and their hope, suggests that 10 years down the line they could buy a commodity piece of hardware, sit it in a machine room and it will probably be able to do the analysis on the LHC data on its own. Then the next experiment will come along demanding something new and different, and they\u2019ll start developing something new themselves.<\/p>\n

Phil Fersht:<\/strong>\u00a0\u00a0 In terms of the business world and what we see going on commercially with the development of Cloud, etc., what do you think are going to be the key opportunities and challenges for businesses trying to move into these types of collaborative networks?<\/span><\/p>\n

Dr. Will Venters:<\/strong>I think a huge benefit they have in working in distributed collaborative ways is a sense of working and collaborating together, being open rather than closed. But the challenge is learning how to coordinate a group of individuals who have individual aspirations and motivations to a higher goal or bigger aim. Another challenge is supporting an unstructured network \u2013 what we call a knowledge infrastructure \u2013 not only their website, the wikis, the blogs and the communication infrastructure but also their sense of history and their sense of organizing themselves, who they communicate with and how they organize themselves into clusters of competence around particular areas. But the benefit comes from understanding they don\u2019t need to be constrained by how they organize what they\u2019ve done in the past, and how they manage that history and culture alongside these things so they can capitalize on what they know, and develop new knowledge, new techniques and new technologies. I think that the knowledge infrastructure around their work is the key part of it, and perhaps something the businesses would benefit from learning. But I also think doing so would require a large amount of cultural change to achieve what the particle physicists have. There are dramatic differences in culture and history of collaboration.<\/p>\n

Phil Fersht:<\/strong> \u00a0In\u00a0many organizations, it can\u00a0get a bit\u00a0political\u00a0when we dare to question the stranglehold that many\u00a0IT departments have\u00a0over managing these networks and their infrastructure. Do you think we\u2019re still many years away from these types of Cloud networks\u00a0 becoming a mainstream business reality, or do you think it is closer than we envision, given the speed in which the LHC grid was developed?<\/span><\/p>\n

Dr. Will Venters:<\/strong> I think at some level it\u2019s a big challenge for business. To put it into perspective, a person I know recently told me a story about when he was shown an amazing usage-based piece of computer software at CERN which was written by a post-doctorate. My friend asked, \u201cWhat happens if the post-doc falls under a bus?\u201d The physics professor didn\u2019t even blink, and said, \u201cWell, we would find another post-doc straight away and get him or her to do something different.\u201d The particle physics community is accepting of the incredibly challenging and experimental nature of their work \u2013 they readily accept a good enough, kind of messy around the edges but ultimately very innovative, very new thing. The concern I have about the debate around cloud for business is that we get too bogged down around the safety, the belief that we must massively mitigate risks. The conservativeness you sometimes see in businesses, and particularly in IT departments, will cause impediments to speedy cloud adoption. But I think we\u2019re seeing stuff with the cloud happening in innovative parts of businesses; they\u2019re just not necessarily being led from the more conservative IT departments. \u00a0There is a serious risk that competitors and innovators will collaborate using cloud resources \u2013 this risk of competition is something we should consider in our cloud models alongside risks of security, cost, lock-in etc.<\/p>\n

Phil Fersht.<\/strong>\u00a0 Will – thanks for your time with us – we’re excitied to be working on this upcoming study with you and the team!<\/span><\/p>\n

Dr Will Venters (pictured)\u00a0is a Lecturer for the <\/em>Information Systems and Innovation Group <\/em><\/a>\u00a0at the London School Economics.\u00a0His research is centered on the development and use of IT technologies to support collaborative working. He is currently researching the development and use of Grid computing technology among experimental particle physicists for the LHC experiments at CERN.\u00a0 More details on his publications can be <\/em>accessed here<\/em><\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

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