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How Linux mastered Wall Street | ITworld

August 15, 2011, 2:17 PM —

flckr/tripp-

When it comes to the fast-moving business of trading stocks, bonds and derivatives, the world’s financial exchanges are finding an ally in Linux, at least according to one Linux kernel developer working in that industry.

This week, at the annual LinuxCon conference in Vancouver, Linux kernel contributor Christoph Lameter will discuss how Linux became widely adopted by financial exchanges, those high-speed computerized trading posts for stocks, bonds, derivatives and other financial instruments.

As an alternative to traditional Unix, Linux has become a dominant player in finance, thanks to the operating-system kernel’s ability to pass messages very quickly, Lameter said in an interview with IDG. In fact, the emerging field of high-frequency trading (HFT) would not be possible without the open-source operating system, he argued. Lameter himself was hired as a consultant by one exchange — he won’t say which one — based on his work in assembling large-scale Linux clusters.

Linux beats Windows (in this case)
At the Fortune 100 financial I was at, Windows was considered a joke. Even the local head of the Windows team admitted that the Unix side was where things were really happening. It was just more flexible, focused on high availability and so on. With Linux coming in so much on the Unix side, that flexibility has only increased. I’m sure whatever RHEL or SUSE edition being run on most servers is so heavily modified internally by the various companies internal engineering teams, that it doesn’t look like a RHEL or SUSE anyone here has ever seen. And RHEL and SUSE bend over backwards to get the business — which can be on tens of thousands, even hundreds of thousands of machines around the world.

Slashdot user br00tus | What’s your take?

The largest exchange, the New York Stock Exchange (NYSE) Euronext, is run on a Linux system that can generate 1,500,000 quotes and process 250,000 orders every second, offering acknowledgments of each transaction within two milliseconds.

As late as 2007, Wall Street exchanges were still largely run on Unix, such as Hewlett-Packard’s HP-UX, IBM’s AIX and Sun Microsystems’ Solaris.

“The release cycles with Solaris and AIX were very long — two to three years between updates. Linux was able [to make the changes needed] within a month or so,” Lameter said.

Financial exchanges need their servers to execute trades as quickly as possible. Even an edge of a few milliseconds could, over the course of trading billions of dollars a day, provide a competitive edge. This intensity created a hotbed of innovation that couldn’t be easily encapsulated within multiyear release cycles, Lameter explained.

“The trading shops saw that the lowest-latency solutions would only be possible with Linux,” Lameter said. “The older Unixes couldn’t move as fast as Linux did.”

One key attribute was the TCP/IP stack, the configuration of which determines how fast a message can be passed between two systems. Another appealing attribute has been a revamped scheduler, which ensures that a process — one performing a trade for example — isn’t interrupted once it has been started. Lastly, thanks to an army of volunteer developers, Linux was able to offer drivers for new hardware more quickly than the large Unix vendors.

Linux also offered financial firms the ability to modify the source code to further speed performance, Lameter said. “It depends on how daring the exchange is,” Lameter said, noting that NASDAQ uses a modified version of the Gentoo Linux distribution.

Others just use off-the-shelf distributions and pay consultants to tweak the settings for maximum performance. Red Hat Enterprise Linux is now the dominant Linux distribution among exchanges, Lameter said. Red Hat counts among its customers the Chicago Mercantile Exchange, New York Mercantile Exchange, Frankfurt Stock Exchange, Eurex derivative exchange and Philippine Stock Exchange.

A typical architecture of an exchange will consist of a number of different subsystems, Lameter said. One component is a matching engine, which pairs a seller and a buyer for each trade. The engine captures all the information about the trade so it can be retraced and audited. Specific engines handle specific sets of stocks. An average exchange will have somewhere from 60 to 100 servers handling the matching.

An exchange will also have a set of front-end processors, which is the system that the traders connect to. This system will usually consist of 500 to 1,000 servers. “The trader is not allowed to connect to the matching engine itself,” Lameter said. Instead, the trader’s machine connects to the front-end server and the server checks the trade to verify it is possible, then sends instructions for the trade to the matching engine. Once the trade is completed, the front-end processing system then returns a message to the trader.

On the software side, many exchanges still primarily use software that was built in-house, using languages such as Java or C++. Some, however, are migrating toward commercial packages, at least for some tasks such as message passing. Tibco’s messaging software and Informatica’s 29West are the predominant messaging tools in this space. Many exchanges have also settled on an emerging standard for messaging, the Linux-friendly Middleware Agnostic Messaging API (MAMA).

Microsoft has not yet made major inroads to this market, Lameter said. “Windows is mostly relegated to the back office,” he said. He claimed that Windows typically has larger latency times than that of Linux, and noted that in 2009, the London Stock Exchange tried and abandoned Windows servers.

Microsoft declined to discuss the London Stock Exchange, though a spokesperson did note that it has plenty of customers in the financial services industry, such as Thomson Reuters and KAS Bank. Microsoft also cited a 2010 IDC study that showed that, worldwide, Microsoft enjoyed 74.7 percent of the server market, while Linux captured only 21.4 percent of the market.

Joab Jackson covers enterprise software and general technology breaking news for The IDG News Service. Follow Joab on Twitter at @Joab_Jackson. Joab’s e-mail address is Joab_Jackson@idg.com

via itworld.com
    • #Finance
    • #Linux
    • #Operating Systems
    • #Wall Street
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6 critical measurement mistakes and how to avoid them | SmartBlog on Leadership

This guest post is by David Carder, vice president and executive consultant at The Forum Corp. He is an expert in the areas of emerging talent development tools and high-impact development experiences.

The measurement of development efforts often fails because organizational effectiveness teams tend to fall into one of six traps.

  • Lacking alignment with what really matters to critical stakeholders.
  • Building plans that are too elaborate.
  • Defining measurement approaches that can’t be practically executed.
  • Defining tracking mechanisms in areas where the resources to execute on them aren’t bought in or don’t have permission to follow through on the work.
  • Lacking alignment of measurement work with cultural norms and expectations.
  • Missing the mark in terms of measurement-capture tangibles, presentations, or scorecards.

What works: An impact workshop

To mitigate the effects of these traps, we’ve refined our measurement strategy catalyst into a collaborative and visual workshop design. Among the key elements of the workshop create real measurement breakthroughs:

  • Getting the right people in on one conversation: executive sponsors, business leaders, subject-matter experts, core team members, people playing analytics roles, and people representing marketing, finance and strategy functions
  • Using a specific “question logic” for the conversation that moves it through a tested series of steps to create alignment, new thinking, and reality-based plans
  • Relying on skillful facilitation practices including dilemma management, or acknowledging and working through the natural tensions in measurement execution

3 examples of measurement breakthroughs

  • Financial Services Organization. This client company brought a passion for measuring sales-cycle time through its pipeline/selling stages to the workshop. But the workshop brought to light several things not previously considered: lessons learned in other parts of the organization related to cycle-time challenges, variability of cycle time across products, and practical challenges of tracking cycle time in a customer relationship management (CRM) system. Company leaders ultimately chose to eschew measurement of sales-cycle time in favor of focusing on three specific quantitative metrics: precise items on the company’s customer engagement survey, number of new relationships and the pace at which they progress, and revenue-per-relationship growth over time. Not only could these metrics be linked to sales organization development efforts, but perhaps more importantly, senior stakeholders could believe in, support and reward for them.
  • Global Insurance Organization. This client company equipped its sales organization to execute a dramatically new selling approach and process. The mix of participants, process and workshop facilitation produced a dramatic simplification of the way sales opportunities are tracked, following the new selling approach. Complex infrastructure and centrally administered plans were replaced by simply trusting the day-to-day coding done by individuals, supported by a focused communication plan.
  • Financial Services Organization. This client company’s team members realized that to be credible with key stakeholders and organizational culture, they needed tangible evidence of how specific behaviors impacted customer and financial measures. Examples of these behaviors included accessing senior-level customers and executing core team strategic relationship planning meetings. As a result of this realization, the team created a customized behavioral survey that quantified demonstration of behaviors and captured a wide range of vivid success stories. These behavior metrics and stories provided the color and nuance needed to support larger metrics tracked over time.

In all three of these examples, the client company achieved breakthrough thinking about measurement work to pursue. If you are spinning your wheels trying to get buy-in to and resources for your initiatives, or recognition of the results your development initiatives are adding to your business, these techniques can help you get immediate traction.

via smartblogs.com
    • #Business
    • #Finance
  • 1 year ago
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Income inequality is bad for rich people too - Glenn Greenwald - Salon.com

One of the major fights in the debt ceiling battle is how much top earners should contribute to efforts to close deficits. Australian economist John Quiggin makes an eloquent case as to why they need to pony up:

My analysis is quite simple and follows the apocryphal statement attributed to Willie Sutton. The wealth that has accrued to those in the top 1 per cent of the US income distribution is so massive that any serious policy program must begin by clawing it back.

If their 25 per cent, or the great bulk of it, is off-limits, then it’s impossible to see any good resolution of the current US crisis. It’s unsurprising that lots of voters are unwilling to pay higher taxes, even to prevent the complete collapse of public sector services. Median household income has been static or declining for the past decade, household wealth has fallen by something like 50 per cent (at least for ordinary households whose wealth, if they have any, is dominated by home equity) and the easy credit that made the whole process tolerable for decades has disappeared. In these circumstances, welshing on obligations to retired teachers, police officers and firefighters looks only fair.

In both policy and political terms, nothing can be achieved under these circumstances, except at the expense of the top 1 per cent. This is a contingent, but inescapable fact about massively unequal, and economically stagnant, societies like the US in 2010. By contrast, in a society like that of the 1950s and 1960s, where most people could plausibly regard themselves as middle class and where middle class incomes were steadily rising, the big questions could be put in terms of the mix of public goods and private income that was best for the representative middle class citizen. The question of how much (more) to tax the very rich was secondary – their share of national income was already at an all time low.

And the fares of the have versus the have-nots continue to diverge. A new survey found that 64% of the public doesn’t have enough funds on hand to cope with a $1000 emergency. Wages are falling for 90% of the population. And disabuse yourself of the idea that the rich might decide to bestow their largesse on the rest of us. Various studies have found that upper class individuals are less empathetic and altruistic than lower status individuals.

This outcome is not accidental. Taxes on top earners are the lowest in three generations. Yet their complaints about the prospect of an increase to a level that is still awfully low by recent historical standards is remarkable.

Given that this rise in wealth has been accompanied by an increase in the power of those at the top, is there any hope for achieving a more just society? Bizarrely, the self interest of the upper crust argues in favor of it. Profoundly unequal societies are bad for everyone, including the rich.

First, numerous studies have ascertained that more money does not make people happier beyond a threshold level that is not all that high. Once people have enough to pay for a reasonable level of expenses and build up a safety buffer, more money does not produce more happiness.

But even more important is that high levels of income inequality exert a toll on all, particularly on health. Would you trade a shorter lifespan for a much higher level of wealth? Most people would say no, yet that is precisely the effect that the redesigning of economic arrangements to serve the needs at the very top is producing. Highly unequal societies are unhealthy for their members, even members of the highest strata. Not only do these societies score worse on all sorts of indicators of social well-being, but they exert a toll even on the rich. Not only do the plutocrats have less fun, but a number of studies have found that income inequality lowers the life expectancy even of the rich. As Micheal Prowse explained in the Financial Times:

Those who would deny a link between health and inequality must first grapple with the following paradox. There is a strong relationship between income and health within countries. In any nation you will find that people on high incomes tend to live longer and have fewer chronic illnesses than people on low incomes.

Yet, if you look for differences between countries, the relationship between income and health largely disintegrates. Rich Americans, for instance, are healthier on average than poor Americans, as measured by life expectancy. But, although the US is a much richer country than, say, Greece, Americans on average have a lower life expectancy than Greeks. More income, it seems, gives you a health advantage with respect to your fellow citizens, but not with respect to people living in other countries….

Once a floor standard of living is attained, people tend to be healthier when three conditions hold: they are valued and respected by others; they feel ‘in control’ in their work and home lives; and they enjoy a dense network of social contacts. Economically unequal societies tend to do poorly in all three respects: they tend to be characterised by big status differences, by big differences in people’s sense of control and by low levels of civic participation….

Unequal societies, in other words, will remain unhealthy societies – and also unhappy societies – no matter how wealthy they become. Their advocates – those who see no reason whatever to curb ever-widening income differentials – have a lot of explaining to do.

It’s easy to see how “big status differences” alone have an impact. The wider income differentials are, the less people mix across income lines, and the more opportunties there are for stratification within income groups. Thus a decline in income can easily put one in the position of suddenly not being able to participate fully or at all in one’s former social cohort (what do you give up, the country club membership? the kids’ private schools? the charities on which you give enough to be on special committees?). And lose enough of these activities that have a steep cost of entry but are part of your social life, and you lose a lot of your supposed friends. Making new friends over the age of 35 is not easy.

So a perceived threat to one’s income is much more serious business to the well-off than it might seem to those on the other side of the looking glass. Loss of social position is a fraught business indeed.

Robert Frank has also pointed out that the issue is relative status. Changes that hit all members of a particular cohort more or less the same way does not disrupt the existing social order:

As psychologists have long known, individuals typically find belt-tightening painful. But recent psychological research suggests that if all in that group spent less in unison, their perceptions of their standard of living would remain essentially unchanged….

With less after-tax income, top earners also wouldn’t be able to spend as much on cars or their children’s weddings and coming-of-age parties. But why did they feel compelled to spend so much in the first place? In most cases, they simply wanted a car that felt spirited, or a celebration that seemed special. But concepts like “spirited” and “special” are inescapably relative: when others in your circle spend a lot, you must spend accordingly or else live with the disappointment that results from unmet expectations.

And the costs of living in more unequal societies extend beyond health, although that impact is particularly dramatic. If you look at broader indicators of social well being, you see the same finding: greater income inequality is associated with worse outcomes. From a presentation by Kate Pickett, Senior lecturer at the University of York and author of The Spirit Level, at the INET conference in 2010:

Picture 52

You might argue: Why do these results matter to rich people, who can live in gated compounds? If you’ve visited some rich areas in Latin America, particularly when times generally are bad, marksmen on the roofs of houses are a norm. Living in fear of your physical safety is not a pretty existence.

Japan, which made a conscious decision to impose the costs of its post bubble hangover on all members of society to preserve stability, has gotten through its lost two decades with remarkable grace. The US seems to be implementing the polar opposite playbook, and there are good reasons to think the outcome of this experiment will be ugly indeed.

via salon.com
    • #Finance
    • #Income Inequality
  • 1 year ago
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Cha-Ching: BankSimple Banks $10 Million In New Funds | TechCrunch

Screen Shot 2011-08-10 at 1.33.27 PM

Alternative banking service BankSimple has just announced $10 million in funding led by IA Ventures and joined by existing investors and Shasta Ventures. This Series B round will join the $3.1 million in Series A and seed that the startup saw from investors including First Round Capital, IA , Village Ventures, SV Angel and others.

Along with the financing, the company also announced partnerships with Visa, CBW Bank, Allpoint, The Bancorp Bank, Andera as well as TxVia. BankSimple is still in stealth but plans on opening its doors by the end of the year, its white credit cards will be going into “Friends and Family” test mode shortly, according to its announcement post.

BankSimple’s ultimate goal is to make banking less complicated by giving people a simplified way to save money, make and track purchases in real time, through a pared down no-nonsense web interface.

via techcrunch.com

First CMU alumni startup to make it really big?

    • #Banking
    • #CMU
    • #Entrepreneurship
    • #Finance
    • #Startups
    • #Tech
  • 1 year ago
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