IaaS provider says it can help to reduce power used in older data centers by 25% by using big data analytics.
New tools are appearing in the ongoing battle to reduce energy consumption in a data center, and some of these tools are also designed to boost a data center's power usage effectiveness (PUE) rating. Google, Facebook, Yahoo, and Microsoft compete to get to the lowest possible PUE measure in their newest data centers.
PUE compares how much total electricity a data center imports to get a unit of computing done. Most older enterprise data centers have a PUE of 1.9- 2.0; they consume almost twice as much power as what's actually devoted to computing. The extra power is needed for heating/cooling, lights, and auxiliary systems, with cooling being the biggest culprit.
Instead of that average 2.0 PUE, advanced data centers get ratings such as 1.22 or 1.16, achieved on Google's last two publicly announced data centers. Yahoo operates a data center in Lockport, N.Y., with a PUE of 1.07, while Facebook's Prineville, Ore., center has a 1.06 rating.
But doing something about electrical gluttony in older data centers can get awkward. "Operating for efficiency and failing will get you yelled at. Operating for availability and failing will get you fired," summed up Steve Hassell, president of the Avocent business unit of Emerson Network Power, which specializes in producing power management devices.
Aiming for reliable availability in the data center usually means sacrificing some efficiency by building in extra memory buffers, surplus CPU cycles, and extra-large network bandwidth. Surpluses usually also include power to guard against any failure triggered by a shortage. But eliminating surplus power may mean eliminating your margin for error, in some cases, unless you can get a view into what devices are using and what are the real-time needs.
San Francisco-based Joyent provides infrastructure-as-a-service (IaaS) from a dozen data centers. CEO Jason Hoffman has tried during the company's eight years to get on top of the issue. He knew if he could reduce power consumption, his infrastructure would be more competitive with bigger names, such as Google and Amazon. And if it worked for him, then it could be an added feature on the server racks that Joyent also ships for private cloud installations at its enterprise customers.
In an interview, Hoffman noted that he opted for an appliance with an odd-sounding name that can amass and perform analytics on data from the many devices in the data center. The Avocent Universal Management Gateway accepts information spewed out by such components as the service processor on a server's motherboard, a microcontroller that collects temperature, voltage, and fan speed data and sends it to the gateway appliance. Network interface cards, switches, and other devices on the server rack and in the data center do the same thing, describing their states in component-specific languages.
In many cases, no one is interested in what the devices are reporting and the information "is dumped into a black hole," said Hoffman. But the Universal Management Gateway understands what each device is saying and it can capture, store, and analyze the information. Emerson acquired Avocent three years ago because it had developed what Hassell described as "a universal translator" for device languages, he said.
Information from the gateway is delivered to Emerson's Trellis data center management software, where it goes into applications seeking to accomplish specific goals, including managing power consumption in the data center. It includes four modules:
-- Inventory Manager is a device discovery and mapping system that detects one device talking to another and records its location and characteristics to build a blueprint of the data center, or data centers.
-- Site Manager reports to data center operators on the health of the running systems. Is the temperature going up on a certain server? Is that because the voltage has increased, it's engaged in particularly intensive, multi-CPU calculations, or perhaps the fan has slowed and is about to fail? It has intelligence to collect information from many devices to report on their health.
-- Change Planner can capture device additions, moves, or decommissions and update Inventory Manager with fresh information. It helps plan device changes and tracks them as they occur.
-- Energy Insight calculates total data center energy consumption and electricity costs, as well as individual device consumption. Are three servers clustered together working exceptionally hard, heating up and prompting the cooling system to overcool the whole data center? Perhaps their workload could be spread around. Energy Insight can also be used to calculate the PUE of the data center, said Hassel. Instead of an annual audit, the module can give you a PUE value on a real-time basis, he noted.
Trellis software and the Universal Management Gateway provide "big data and big data analytics for the data center," said Hoffman.
Joyent has gained enough experience with the combination that it's become a secondary business to its IaaS, offered as a feature on a server rack of Joyent infrastructure destined for installation on a customer's premises. It's added as a 5%-10% premium on the price of the rack.
Emerson says in information on its website that the Gateway-Trellis combination can save 25% of a data center's energy consumption. Hoffman claims that savings is borne out by Joyent's own experience. "We think we can do better than that," he added.
Multicloud Infrastructure & Application ManagementEnterprise cloud adoption has evolved to the point where hybrid public/private cloud designs and use of multiple providers is common. Who among us has mastered provisioning resources in different clouds; allocating the right resources to each application; assigning applications to the "best" cloud provider based on performance or reliability requirements.
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