la noticia de sebastian salinas 11-1

Could Big Data Analytics Combat High Frequency Trading’s Negative Effects?

By French Caldwell  |  February 27, 2012  |  Comments Off

I’m at the SAS industry analyst day in Steamboat Springs, Colorado.  There’s been a lot of emphasis here on big data, high powered analytics and in-memory computing.  It got me to thinking about an article last week in Wired about a new academic study on high frequency trading.  The study found that there have been over 18,000 flash events in capital markets trading in the last five years.  There’s strong economic rent seeking incentive for traders to locate their systems as close as possible to an exchange in order to be able to take advantage of events, but detecting and responding to events that are less than a tenth of a second seems problematic, and such events could cascade out of control — such as happened in the flash crash of May 2010. Some companies like Citigroup get jerked around like crazy by high frequency trading — so much so that there’s little correlation between stock price and the company’s value. So with analytics vendors like SAS making quantum jumps in processing and analytic speeds, could a company like Citigroup begin to use it to counter high frequency trading effects?  In other words, will it be possible with a combination of big data analytics and in-memory capabilities of modern hardware to detect and respond to events that are in the nano-seconds

industry= industria

analyst=analista

day  =dia

emphasis= enfasis

data=dato

analytics= analitica

memory=memoria

article=articulo

study =estudiar

events=eventos

capital =capital

economic=economic

 incentive= incentivo

locate=localizar

systems=sisitemas

possible=posible

advantage=ventaja

detecting=deteccion

responding=responder

problematic=problematico

control =controlar

 frequency=frecuencia

correlation=correlacion

processing=procesando

company=compañia

combination=combinacion

modern=moderno

detect =detectar

la noticia de joeiner sanchez 11-1

Steps to Ease Data Center Cooling

by Dave Cappuccio  |  March 23, 2012  |  Submit a Comment

Cooling with the data center has become our achilles heal in many cases. Historically the folks in IT had relatively nothing to do with heat or cooling management, this was strictly under the purview of the facilities team (after all, if it wasn’t IT gear, it didn’t count). In todays world though the IT team has to get involved, since they are the ones that need to live with (and fix) the problem.

Well the good news is that in most older data centers (older being 10+ years), there are plenty of low hanging fruit to choose from when deciding what project to undertake in order to develop a more efficient cooling environment within the data center.

Over the next few posts I’ll posit 10 of the easy steps you can take to solve, or mitigate the cooling issue at your site.

1. Hot Aisle/Cold Aisle
As one of the oldest techniques in data center efficiency, placing rows of racks back to back and front to front is a simple method to redirect some of the hot air exiting the back of your racks into a common area. Without this configuration the hot air will exit the rack and be pulled into the front of the adjoining row, thus creating hot spots and very poor distribution of cool air. Creating hot and cold aisle configurations can improve air flow and cooling efficiency by as much as 10%.

2. Variable Speed Drives – Variable Frequency Drives
One of the largest consumers of electricity in data centers are the air handlers and/or air conditioners (CRAH’s and CRAC’s). These units have very powerful fans which need to move large amounts of air across the data center floor to the IT equipment. On many older units the fans spin at a continuous rate and the airflow remains continuous, regardless of how much is actually needed (e.g. a mostly empty data center would get the same airflow as a nearly full data center). Unless IT or Facilities teams are diligent, these fans are normally left on one speed all the time, creating a very inefficient environment. Newer CRAHs and CRACs have variable speed drives which can automatically sense temperature variations on the floor and therefor modulate the airflow, and fan speed, accordingly. Sophisticated units allow the synchronization of many units across a data center so the optimal fan speed, air flow, and energy consumption can be achieved. Implementing variable speed drives, synchronized, can reduce energy consumption by up to 15%. Example vendors; Emerson, Schneider Electric, Stulz.

 Historically  históricamente

facilities   instalaciones

problem  problema

centers centros

project  proyecto

order  orden

efficient   eficiente

efficiency  eficiencia

simple simple

area área

configuration  configuración

distribution    distribución

consumers  los consumidores

electricity   electricidad

 continuous   continuo 

much   mucho

diligent    diligente

normally    normalmente

creating    la creación de

 inefficient     ineficiente

 temperature    temperatura

variations   variaciones

modulate   modular 

synchronization    sincronización 

consumption    consumo 

Implementing   Implementación

 variable   variable 

reduce  reducir