Impact of Big Data on Data Center Infrastructure Management

Mrinal Banerji

Statistics

21%Only 21% of data centers are efficient

80%of the data at present has grown in last 2 years

71%data centers are technically obsolete

6.5+times data growth YoY

82mnno. of serversby end of 2014

690 bn KwH energy data centers consumed in 2012

Source – IBM Research Study and Forbes (Dec 2011 issue)

$7.5bnprojected growth of DCIM systems by 2020

$ 34bnProjected Big Data spending (Gartner)in 2013

Data Center Infrastructure Management

DriversScaling up of applications and servicesVirtualization and cloud computingConversion from cost centers to value creation entitiesIncreased reliance on critical IT systemsEnergy efficiency or conservation initiativesThe need for more powerful management tools offering a rich, visual view of the infrastructure

Big Data : Identifying Operational Strengths and weaknesses

Big Data can perform the following functionsIdentify discrepancies between planned and actual energy usageGenerate inventory reports by device type, age, manufacturers and properties of the deviceProvide energy use details that enable the linking of operating costs to each business unit user group

Provides Actionable insight into how the equipment is being utilizedwhat capacity is availablewhere it’s residinghow much power it’s usingthe ability to test scenarios prior to changeneed for future infrastructure, investments and rollouts

Data Center Predictive Modeling Ability to forecast the performance of a data center into

the future, be it its energy use, energy efficiency, performance of the myriad pieces of equipment, even cost

The EvolutionSource – Data Center Journal

Value AdditionSome of the notable cases where Big Data has benefitted the companies immensely

A Chinese bank went from 38 data centers to 2, saving $180 million a year in operational costsAn auto major that was spending $28 million to manage its CRM system and data center systems reduced that to $8 millionAirtel successfully cut down its energy utilization and green house emission (from data center) by 30%Companies like eBay have already announced successful efforts to optimize their data centers using Big Data analysis