Ways To Maximize Data Center Value
With data management becoming one of the major influencer on business strategies, there is an increased emphasis on efficiency of data centers. Right from the choice of location to the size of a data center, the enterprises are making extra efforts in being competitive in the already crowded market.
As per a recent report by IDC, the number of data centers being built around the world will continue to grow until it peaks at 8.6 million in 2017, and estimates that the amount of data center space worldwide will grow from about 1.58 billion square feet in 2013 to 1.94 billion square feet in 2018.
In a recent webinar organized by Raritan, experts observed that a horizontal growth of a data center will incur additional expenses of cabling, cooling and not to mention gigantic real estate.
Another challenge is ensuring cost-effectiveness, otherwise adding to the operating cost can put pressure on the bottom-line. With rising realty prices, data centers are required to maximize benefits from existing space without impacting their expansion plans.
The experts felt that the solution was in vertical expansion powered by the right choice of power distribution units.
Challenges faced by high density racks:
“In any business, minimizing risk to downtime, controlling energy usage/cost, maximizing utilisation of current resources, living with tighter budgets and financing major investments are some of the key challenges in both data center operations’ management and the organisation’s IT focussed operations’ management,” Sanjay Motwani, Regional Director, India SEA, Taiwan & Hong Kong, Raritan International, had told CXOtoday earlier.
The need for more power and cooling inadvertently drives up the need for space in data centers. As higher-density servers require more power per square foot than lower-density servers, they also need more support equipment such as air conditioning, uninterruptible power supplies and backup generators,” says Nilesh Rane, Assistant VP, Product Development at Netmagic.
“Many times, the decisions for resolving the power space and cooling issues in a data center are driven by what the analysts and vendors have to say without taking into account the legacy IT environment of the organization. Strategic decisions like installing high density blade servers and storage, modular power systems, in-row cooling system, aisle contentment, virtualization and cloud computing to tackle power, cooling and space issues will only help if they are employed properly,” says Nilesh Rane.
At the webinar, Henry Hsu, VP, Product Architecture, United States, Raritan International, said that most data centers with the legacy infrastructure cater to 4-5 KW per rack while the requirement has shot multiple times – beyond 20 KW per rack in many cases. With the high volume big data streams becoming a norm, data centers need to be prepared to handle more density per rack and therefore must look at maximizing their capabilities. Keeping this in mind, data centers are already moving toward high-density computing environments with new and dense servers being deployed. The primary reasons cited for moving to higher densities include saving facility space and reducing energy costs.
Though high density racks are playing a pivotal role in increasing ROI of various organisations, power distribution units are equally important. ne important part of the expansion plan is the choice of PDUs. Balance tilts in favour of PDUs that are capable of extending power distribution all the way to the individual rack and cabinets, without undertaking any major structural changes.
Adoption of newer technologies are expected to disrupt data centers.
“Internet of Things (IoT) is likely to pose as the biggest disruption to data centers. The exuberant proliferation of sensor devices sending data by the second to a cloud backend and being analyzed on real-time via big data analytics is definitely changing the way data centers are being perceived,” Sanjay Motwani had said.
- Why 2018 Will Belong To Cloud, AI, Blockchain
- How CEO Can Avoid Digital Transformation Failure: McKinsey
- Predictions for RPA in Financial Services in 2018
- Which Sector Will Be The First To Go 100% Robot?
- Uber Data Breach: Accountability, Corporate Ethics In Question
- 4 Big Data Trends To Watch In 2018
- Infor Looks To Triple Its India Revenue By 2020
- Stratus Unveils Edge Computing Strategy
- 70% Consumers Stop Following A Business After Data Breach: Study
- Nokia Expands Bengaluru R&D Center To Focus On 5G