The Experts below are selected from a list of 77178 Experts worldwide ranked by ideXlab platform
A. Abad - One of the best experts on this subject based on the ideXlab platform.
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An environmental generalised Luenberger-Hicks-Moorsteen productivity indicator and an environmental generalised Hicks-Moorsteen productivity index.
Journal of environmental management, 2015Co-Authors: A. AbadAbstract:The purpose of this paper is to introduce an environmental generalised productivity indicator and its ratio-based counterpart. The innovative environmental generalised total factor productivity measures inherit the basic structure of both Hicks-Moorsteen productivity index and Luenberger-Hicks-Moorsteen productivity indicator. This methodological contribution shows that these new environmental generalised total factor productivity measures yield the Earlier Standard Hicks-Moorsteen index and Luenberger-Hicks-Moorsteen indicator, as well as environmental performance index, as special cases.
Scott L Watson - One of the best experts on this subject based on the ideXlab platform.
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can enhanced diffusion improve helioseismic agreement for solar models with revised abundances
The Astrophysical Journal, 2005Co-Authors: J A Guzik, Scott L WatsonAbstract:Recent solar photospheric abundance analyses (by Asplund et al. and Lodders) revise the C, N, O, Ne, and Ar abundances downward by 0.15-0.2 dex compared to previous determinations by Grevesse & Sauval. The abundances of Fe and other elements are reduced by smaller amounts, 0.05-0.1 dex. With these revisions, the photospheric Z/X decreases to 0.0165 (or 0.0177, according to Lodders), and Z decreases to ~0.0122 (or 0.0133, according to Lodders). A number of papers (by, e.g., Basu & Antia, Montalban et al., Bahcall & Pinsonneault, Turck-Chieze et al., and Antia & Basu) report that solar models evolved with Standard opacities and diffusion treatment using these new abundances give poor agreement with helioseismic inferences for sound-speed and density profile, convection-zone helium abundance, and convection-zone depth. These authors also considered a limited set of models with increased opacities, enhanced diffusion, or abundance variations to improve agreement, finding no entirely satisfactory solution. Here we explore evolved solar models with varying diffusion treatments, including enhanced diffusion with separate multipliers for helium and other elements, to reduce the photospheric abundances, while keeping the interior abundances about the same as Earlier Standard models. While enhanced diffusion improves agreement with some helioseismic constraints compared to a solar model evolved with the new abundances using nominal input physics, the required increases in thermal diffusion rates are unphysically large, and none of the variations tried completely restores the good agreement attained using the Earlier abundances. A combination of modest opacity increases, diffusion enhancements, and abundance increases near the level of the uncertainties, while somewhat contrived, remains the most physically plausible means to restore agreement with helioseismology. The case for enhanced diffusion would be improved if the inferred convection-zone helium abundance could be reduced; we recommend reconsidering this derivation in light of new equations of state with modified abundances and other improvements. We also recommend considering, as a last resort, diluting the convection zone, which contains only 2.5% of the Sun's mass, by accretion of material depleted in the more volatile elements C, N, O, Ne, and Ar after the Sun arrived on the main sequence.
Jure Polutnik - One of the best experts on this subject based on the ideXlab platform.
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CloudStore — towards scalability, elasticity, and efficiency benchmarking and analysis in Cloud computing
Future Generation Computer Systems, 2018Co-Authors: Sebastian Lehrig, Richard Torbjørn Sanders, Gunnar Brataas, Mariano Cecowski, Simon Ivansek, Jure PolutnikAbstract:Abstract This paper describes CloudStore, an open source application that lends itself to analyzing key characteristics of Cloud computing platforms. Based on an Earlier Standard from transaction processing, it represents a simplified version of a typical e-commerce application–an electronic book store. We detail how a deployment on a popular public cloud offering can be instrumented to gain insight into system characteristics such as capacity, scalability, elasticity and efficiency. Based on our insights, we create a CloudStore performance model, allowing to accurately predict such properties already at design time.
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Cloud Forward - CloudStore – Towards Scalability Benchmarking in Cloud Computing
Procedia Computer Science, 2015Co-Authors: Richard Torbjørn Sanders, Gunnar Brataas, Mariano Cecowski, Kjetil Haslum, Simon Ivansek, Jure Polutnik, Brynjar VikenAbstract:Abstract This paper describes CloudStore, an open source application that lends itself to analyzing key characteristics of Cloud computing platforms. Based on an Earlier Standard from transaction processing, it represents a simplified version of a typical e-commerce application – an electronic book store. We detail how a deployment on a popular public cloud offering can be instrumented to gain insight into system characteristics such as capacity, scalability, elasticity and efficiency.
Richard Torbjørn Sanders - One of the best experts on this subject based on the ideXlab platform.
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CloudStore — towards scalability, elasticity, and efficiency benchmarking and analysis in Cloud computing
Future Generation Computer Systems, 2018Co-Authors: Sebastian Lehrig, Richard Torbjørn Sanders, Gunnar Brataas, Mariano Cecowski, Simon Ivansek, Jure PolutnikAbstract:Abstract This paper describes CloudStore, an open source application that lends itself to analyzing key characteristics of Cloud computing platforms. Based on an Earlier Standard from transaction processing, it represents a simplified version of a typical e-commerce application–an electronic book store. We detail how a deployment on a popular public cloud offering can be instrumented to gain insight into system characteristics such as capacity, scalability, elasticity and efficiency. Based on our insights, we create a CloudStore performance model, allowing to accurately predict such properties already at design time.
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Cloud Forward - CloudStore – Towards Scalability Benchmarking in Cloud Computing
Procedia Computer Science, 2015Co-Authors: Richard Torbjørn Sanders, Gunnar Brataas, Mariano Cecowski, Kjetil Haslum, Simon Ivansek, Jure Polutnik, Brynjar VikenAbstract:Abstract This paper describes CloudStore, an open source application that lends itself to analyzing key characteristics of Cloud computing platforms. Based on an Earlier Standard from transaction processing, it represents a simplified version of a typical e-commerce application – an electronic book store. We detail how a deployment on a popular public cloud offering can be instrumented to gain insight into system characteristics such as capacity, scalability, elasticity and efficiency.
Sebastian Lehrig - One of the best experts on this subject based on the ideXlab platform.
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CloudStore — towards scalability, elasticity, and efficiency benchmarking and analysis in Cloud computing
Future Generation Computer Systems, 2018Co-Authors: Sebastian Lehrig, Richard Torbjørn Sanders, Gunnar Brataas, Mariano Cecowski, Simon Ivansek, Jure PolutnikAbstract:Abstract This paper describes CloudStore, an open source application that lends itself to analyzing key characteristics of Cloud computing platforms. Based on an Earlier Standard from transaction processing, it represents a simplified version of a typical e-commerce application–an electronic book store. We detail how a deployment on a popular public cloud offering can be instrumented to gain insight into system characteristics such as capacity, scalability, elasticity and efficiency. Based on our insights, we create a CloudStore performance model, allowing to accurately predict such properties already at design time.
