A Maturity Model for Energy Efficiency in Mature Data Centres

Data centresare complex eco-systems that interconnect elements of the ICT, electrical, and mechanical fields of engineering and hence the efficient operation of a data centre requires a diverse range of knowledge and skills from each of these fields. The Innovation Value Institute (IVI), a consortium of leading organizations from industry, the notforprofit sector, and academia, have developed a maturity model that offers a comprehensive,value-based method for organizing, evaluating, planning, and improving the energy efficiency of mature data centres. The development process for the maturity model is discussed, detailing the role of design science in its definition

Measuring Energy Efficiency Practices in Mature Data Center: A Maturity Model Approach

Power usage within a Data Center (DC) goes beyond the direct power needs of servers to include networking, cooling, lighting and facilities management. Data centers range from closet-sized operations, drawing a few kilowatts (kW), to mega-sized facilities, consuming tens of megawatts (MWs). In almost all cases, independent of size there exists significant potential to improve both the economic and environmental bottom line of data centers by improve their energy efficiency, however a number of challenges exist. This paper describes the resulting maturity model, which offers a comprehensive value-based method for organizing, evaluating, planning, and improving the energy efficiency of mature data centers. The development process for the maturity model is discussed, detailing the role of design science in its definition

Noncomparabilities & Non Standard Logics

Many normative theories set forth in the welfare economics, distributive justice and cognate literatures posit noncomparabilities or incommensurabilities between magnitudes of various kinds. In some cases these gaps are predicated on metaphysical claims, in others upon epistemic claims, and in still others upon political-moral claims. I show that in all such cases they are best given formal expression in nonstandard logics that reject bivalence, excluded middle, or both. I do so by reference to an illustrative case study: a contradiction known to beset John Rawls\u27s selection and characterization of primary goods as the proper distribuendum in any distributively just society. The contradiction is avoided only by reformulating Rawls\u27s claims in a nonstandard form, which form happens also to cohere quite attractively with Rawls\u27s intuitive argumentation on behalf of his claims

Essays on Reference, Language, and Mind

The book republishes seven papers by Keith Donnellan, with a new introduction by the same Donnellan. There is a very short presentation of Donnellan by J. Almog

A Maturity Model for Energy Efficiency in Mature Data Centres

Data centresare complex eco-systems that interconnect elements of the ICT, electrical, and mechanical fields of engineering and hence the efficient operation of a data centre requires a diverse range of knowledge and skills from each of these fields. The Innovation Value Institute (IVI), a consortium of leading organizations from industry, the notforprofit sector, and academia, have developed a maturity model that offers a comprehensive,value-based method for organizing, evaluating, planning, and improving the energy efficiency of mature data centres. The development process for the maturity model is discussed, detailing the role of design science in its definition

Measuring Energy Efficiency Practices in Mature Data Center: A Maturity Model Approach

Power usage within a Data Center (DC) goes beyond the direct power needs of servers to include networking, cooling, lighting and facilities management. Data centers range from closet-sized operations, drawing a few kilowatts (kW), to mega-sized facilities, consuming tens of megawatts (MWs). In almost all cases, independent of size there exists significant potential to improve both the economic and environmental bottom line of data centers by improve their energy efficiency, however a number of challenges exist. This paper describes the resulting maturity model, which offers a comprehensive value-based method for organizing, evaluating, planning, and improving the energy efficiency of mature data centers. The development process for the maturity model is discussed, detailing the role of design science in its definition