Smart Monitoring Embedded Service for Energy-Efficient and Sustainable Management in Data Centers

Diego Marcos-Jorquera, Virgilio Gilart-Iglesias, Francisco José Mora-Gimeno and Juan Antonio Gil-Martínez-Abarca
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Diego Marcos-Jorquera: Department of Computer Science Technology and Computation, University of Alicante, Alicante 03690, Spain
Virgilio Gilart-Iglesias: Department of Computer Science Technology and Computation, University of Alicante, Alicante 03690, Spain
Francisco José Mora-Gimeno: Department of Computer Science Technology and Computation, University of Alicante, Alicante 03690, Spain
Juan Antonio Gil-Martínez-Abarca: Department of Computer Science Technology and Computation, University of Alicante, Alicante 03690, Spain

Energies, 2016, vol. 9, issue 7, 1-25

Abstract: Information technologies (IT) currently represent 2% of CO 2 emissions. In recent years, a wide variety of IT solutions have been proposed, focused on increasing the energy efficiency of network data centers. Monitoring is one of the fundamental pillars of these systems, providing the information necessary for adequate decision making. However, today’s monitoring systems (MSs) are partial, specific and highly coupled solutions. This study proposes a model for monitoring data centers that serves as a basis for energy saving systems, offered as a value-added service embedded in a device with low cost and power consumption. The proposal is general in nature, comprehensive, scalable and focused on heterogeneous environments, and it allows quick adaptation to the needs of changing and dynamic environments. Further, a prototype of the system has been implemented in several devices, which has allowed validation of the proposal in addition to identification of the minimum hardware profile required to support the model.

Keywords: monitoring energy-consumption; energy-efficient networks; sustainable network; service oriented architecture; embedded systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
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