Abstract
Information technologies (IT) currently represent 2% of CO2 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.
Highlights
In recent years, there has been constant growth in the cloud computing paradigm
As a result of the models developed in [17,18] and based on simplifying the management of information technologies (IT) infrastructure and services through autonomous devices with minimum management and attention, weak coupling, and self-sufficiency, we propose the design of a monitoring model for energy management to reduce energy consumption
We introduced a light resource analyzer to interfere as little as possible with the test, gathering second-by-second statistics regarding central processing unit (CPU) load, memory and packages captured by the network interface
Summary
There has been constant growth in the cloud computing paradigm This is leading to an accelerating expansion of the network infrastructures and data processing centers of the providers of these services. To sustain the growth of IT in general and that of data centers in particular, it is necessary to introduce solutions that guarantee energy efficiency. The proposals can be classified into two large groups: solutions based on hardware and those based on software [1] The goals of the former are to improve the efficiencies of hardware components, both of network devices and physical servers [2,3,4]. The latter focus on aspects such as the operating system, the virtual machines or software applications [5,6,7]
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