Hidden Storage in Data Centers: Gaining Flexibility Through Cooling Systems

Basmadjian, Robert; Ghiassi-Farrokhfal, Yashar; Vishwanath, Arun

doi:10.1007/978-3-319-74947-1_5

Cited by 3 publications

(1 citation statement)

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“…By exploiting those ranges, it is possible to reduce the power demand of data centers significantly. To analyze and demonstrate the potential of temperature range alteration, models like the one proposed in the work by the authors of [31] are needed. It is argued that data center operators can save up to 4% of energy costs by increasing the temperature set-point by 0.5 • C. Google increased the temperature set-points of its data centers which led to reduced energy consumption.…”

Section: Cooling Systemmentioning

confidence: 99%

Flexibility-Based Energy and Demand Management in Data Centers: A Case Study for Cloud Computing

Basmadjian

2019

Energies

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The power demand (kW) and energy consumption (kWh) of data centers were augmented drastically due to the increased communication and computation needs of IT services. Leveraging demand and energy management within data centers is a necessity. Thanks to the automated ICT infrastructure empowered by the IoT technology, such types of management are becoming more feasible than ever. In this paper, we look at management from two different perspectives: (1) minimization of the overall energy consumption and (2) reduction of peak power demand during demand-response periods. Both perspectives have a positive impact on total cost of ownership for data centers. We exhaustively reviewed the potential mechanisms in data centers that provided flexibilities together with flexible contracts such as green service level and supply-demand agreements. We extended state-of-the-art by introducing the methodological building blocks and foundations of management systems for the above mentioned two perspectives. We validated our results by conducting experiments on a lab-grade scale cloud computing data center at the premises of HPE in Milano. The obtained results support the theoretical model, by highlighting the excellent potential of flexible service level agreements in Green IT: 33% of overall energy savings and 50% of power demand reduction during demand-response periods in the case of data center federation.

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Section: Cooling Systemmentioning

confidence: 99%