Green Energy in Data Centers

Green Energy in Data Centers

Kanahavalli Mardamutu (Quest International University Perak, Malaysia), Vasaki Ponnusamy (Universiti Tunku Abdul Rahman, Malaysia) and Noor Zaman (King Faisal University, Saudi Arabia)
DOI: 10.4018/978-1-4666-9792-8.ch012
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Green energy paradigm has been gaining popularity in the computing system from the software, hardware, infrastructure and application perspectives. Within that concept, data center greening is of utmost importance at the moment since data centers are one of the most energy conserving elements. Data centers are seen as the technology era's black energy-swallowing secret. Reducing energy consumption at data centers can reduce carbon footprint effect tremendously. Not addressing the issue immediately will lead to significant energy usage by data centers and will hinder the growth of data centers. The call for sustainable energy efficient data center leads to venturing into data center green computing. The green computing concept can be achieved by using several methods adopted by researchers including renewable energy, virtualization through cloud computing, proper cooling system, identifying suitable location to harvest energy whilst reducing the need for air-conditioning and employing suitable networking and information technology infrastructure. This paper focuses into several approaches used by researches to reduce energy consumption at data centers while deploying efficient database management system. This paper differs from others in the literature by giving some suitable solutions by looking into a hybrid model for green computing in data centers.
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Problem Statement

In today’s technological world, it is proven that there is a significant relationship between data center and investment in capital overlay and outgoing costs. Table 1 shows the detailed breakdown on the distribution of the cost from data center (Greenberg et al., 2008).

Table 1.
Guide on the distribution of data center costs
Amortized CostComponentSub-Component
~ 45%ServersCPU, memory, storage systems.
~ 25%InfrastructurePower distribution and cooling.
~15%Power drawElectrical utility costs.
~15%NetworkLinks, transit, equipment.

a. Source of data: A. Greenberg et al, “The cost of a cloud: research problems in data center networks”, ACM SIGCOMM Computer Communication Review, 39(1), pp. 68, 2008

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