Aggregate Resource

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M J Ricketts - One of the best experts on this subject based on the ideXlab platform.

  • GRANULAR Aggregate Resource MAPPING ON THE SOUTHERN AVALON PENINSULA (NTS MAP AREAS 1K/11, 12, 13, 14, 15 AND 1L/16)
    2020
    Co-Authors: M J Ricketts
    Abstract:

    Granular Aggregate mapping on the southern Avalon Peninsula is part of a continuing regional survey to locate Aggregate deposits to alleviate construction problems, resulting from Aggregate shortages and poor-quality Aggregate found in the immediate area. Follow-up survey work was conducted in some of the Resource areas previously mapped in 2006 (NTS map areas 1K/11, 14 and 15). Other deposits previously identified from aerial photographs were sampled, and mapping was extended in the adjoining NTS map areas 1K/12, 13 and 1L/16. Sand and gravel deposits were identified at many locations throughout the surveyed area, and although many are small, there are several large deposits that can support a quarry operation for many years. These deposits vary in texture from medium-grain sands to cobble–boulder gravel, and range in quantity from 10 000 m 3 to 5 000 000 m 3 . Most deposits are within 1 km of a road and have potential for use in road upgrading, for winter ice-control, or for local community use.

  • granular Aggregate Resource mapping on the southern avalon peninsula nts map areas 1k 11 12 13 14 15 and 1l 16
    2008
    Co-Authors: M J Ricketts
    Abstract:

    Granular Aggregate mapping on the southern Avalon Peninsula is part of a continuing regional survey to locate Aggregate deposits to alleviate construction problems, resulting from Aggregate shortages and poor-quality Aggregate found in the immediate area. Follow-up survey work was conducted in some of the Resource areas previously mapped in 2006 (NTS map areas 1K/11, 14 and 15). Other deposits previously identified from aerial photographs were sampled, and mapping was extended in the adjoining NTS map areas 1K/12, 13 and 1L/16. Sand and gravel deposits were identified at many locations throughout the surveyed area, and although many are small, there are several large deposits that can support a quarry operation for many years. These deposits vary in texture from medium-grain sands to cobble–boulder gravel, and range in quantity from 10 000 m 3 to 5 000 000 m 3 . Most deposits are within 1 km of a road and have potential for use in road upgrading, for winter ice-control, or for local community use.

Vijay K Naik - One of the best experts on this subject based on the ideXlab platform.

  • IEEE CLOUD - Biting Off Safely More Than You Can Chew: Predictive Analytics for Resource Over-Commit in IaaS Cloud
    2012 IEEE Fifth International Conference on Cloud Computing, 2012
    Co-Authors: Rahul Ghosh, Vijay K Naik
    Abstract:

    Cloud service providers are constantly looking for ways to increase revenue and reduce costs either by reducing capacity requirements or by supporting more users without adding capacity. Over-commit of physical Resources, without adding more capacity, is one such approach. Workloads that tend to be 'peaky' are especially attractive targets for over-commit since only occasionally such workloads use all the system Resources that they are entitled to. Online identification of candidate workloads and quantification of risks are two key issues associated with over-committing Resources. In this paper, to estimate the risks associated with over-commit, we describe a mechanism based on the statistical analysis of the Aggregate Resource usage behavior of a group of workloads. Using CPU usage data collected from an internal private Cloud, we show that our proposed approach is effective and practical.

  • biting off safely more than you can chew predictive analytics for Resource over commit in iaas cloud
    International Conference on Cloud Computing, 2012
    Co-Authors: Rahul Ghosh, Vijay K Naik
    Abstract:

    Cloud service providers are constantly looking for ways to increase revenue and reduce costs either by reducing capacity requirements or by supporting more users without adding capacity. Over-commit of physical Resources, without adding more capacity, is one such approach. Workloads that tend to be 'peaky' are especially attractive targets for over-commit since only occasionally such workloads use all the system Resources that they are entitled to. Online identification of candidate workloads and quantification of risks are two key issues associated with over-committing Resources. In this paper, to estimate the risks associated with over-commit, we describe a mechanism based on the statistical analysis of the Aggregate Resource usage behavior of a group of workloads. Using CPU usage data collected from an internal private Cloud, we show that our proposed approach is effective and practical.

Erik Mathijs - One of the best experts on this subject based on the ideXlab platform.

  • an Aggregate Resource efficiency perspective on sustainability a sustainable value application to the eu 15 countries
    Ecological Economics, 2011
    Co-Authors: Steven Van Passel, Erik Mathijs
    Abstract:

    The Sustainable Value approach integrates the efficiency with regard to environmental, social and economic Resources into a monetary indicator. It gained significant popularity as evidenced by diverse applications at the corporate level. However, its introduction as a measure adhering to the strong sustainability paradigm sparked an ardent debate. This study explores its validity as a macroeconomic strong sustainability measure by applying the Sustainable Value approach to the EU-15 countries. Concretely, we assessed environmental, social and economic Resources in combination with the GDP for all EU-15 countries from 1995 to 2006 for three benchmark alternatives. The results show that several countries manage to adequately delink Resource use from GDP growth. Furthermore, the remarkable difference in outcome between the national and EU-15 benchmark indicates a possible inefficiency of the current allocation of national Resource ceilings imposed by the European institutions. Additionally, by using an effects model we argue that the service degree of the economy and governmental expenditures on social protection and research and development are important determinants of overall Resource efficiency. Finally, we sketch out three necessary conditions to link the Sustainable Value approach to the strong sustainability paradigm.

Rahul Ghosh - One of the best experts on this subject based on the ideXlab platform.

  • IEEE CLOUD - Biting Off Safely More Than You Can Chew: Predictive Analytics for Resource Over-Commit in IaaS Cloud
    2012 IEEE Fifth International Conference on Cloud Computing, 2012
    Co-Authors: Rahul Ghosh, Vijay K Naik
    Abstract:

    Cloud service providers are constantly looking for ways to increase revenue and reduce costs either by reducing capacity requirements or by supporting more users without adding capacity. Over-commit of physical Resources, without adding more capacity, is one such approach. Workloads that tend to be 'peaky' are especially attractive targets for over-commit since only occasionally such workloads use all the system Resources that they are entitled to. Online identification of candidate workloads and quantification of risks are two key issues associated with over-committing Resources. In this paper, to estimate the risks associated with over-commit, we describe a mechanism based on the statistical analysis of the Aggregate Resource usage behavior of a group of workloads. Using CPU usage data collected from an internal private Cloud, we show that our proposed approach is effective and practical.

  • biting off safely more than you can chew predictive analytics for Resource over commit in iaas cloud
    International Conference on Cloud Computing, 2012
    Co-Authors: Rahul Ghosh, Vijay K Naik
    Abstract:

    Cloud service providers are constantly looking for ways to increase revenue and reduce costs either by reducing capacity requirements or by supporting more users without adding capacity. Over-commit of physical Resources, without adding more capacity, is one such approach. Workloads that tend to be 'peaky' are especially attractive targets for over-commit since only occasionally such workloads use all the system Resources that they are entitled to. Online identification of candidate workloads and quantification of risks are two key issues associated with over-committing Resources. In this paper, to estimate the risks associated with over-commit, we describe a mechanism based on the statistical analysis of the Aggregate Resource usage behavior of a group of workloads. Using CPU usage data collected from an internal private Cloud, we show that our proposed approach is effective and practical.

R M Dambrink - One of the best experts on this subject based on the ideXlab platform.

  • Advances in constructing regional geological voxel models, illustrated by their application in Aggregate Resource assessments
    Netherlands Journal of Geosciences - Geologie en Mijnbouw, 2015
    Co-Authors: D Maljers, Jan Stafleu, M J Van Der Meulen, R M Dambrink
    Abstract:

    AbstractAggregate Resource assessments, derived from three subsequent generations of voxel models, were compared in a qualitative way to illustrate and discuss modelling progress. We compared the models in terms of both methodology and usability. All three models were produced by the Geological Survey of the Netherlands. Aggregate is granular mineral material used in building and construction, and in this case consists of sand and gravel. On each occasion ever-increasing computer power allowed us to model at a higher resolution and use more geological information to constrain interpolations. The two oldest models, built in 2005 and 2007, were created specifically for Aggregate Resource assessments, the first as proof of concept, the second for an online Resource information system. The third model was derived from the ongoing multipurpose systematic 3D modelling programme GeoTOP. We used a study area of 40 × 40 km located in the central Netherlands, which encompasses a section of the Rhine-Meuse delta and adjacent glacial terrains to the north. Aggregate Resource assessments rely on the extent to which the occurrence and grain size of sand and gravel are resolved, and on proper representation of clay and peat layers (overburden and intercalations) that affect exploitability. Average model properties (e.g. total Aggregate content) are about the same in all three models, except for a difference resulting from converting older lithological classifications to the current one. This difference illustrates that data selection and preparation are paramount, especially when dealing with quality issues. Generally speaking the results of the Aggregate Resource assessments are consistent and satisfactory for all three models, provided that they are judged at the appropriate scale. However, the assessments based on GeoTOP best approach the desired scale of use for the Aggregates industry; in that sense progress was significant and each model was a better fit for the purpose.

  • advances in constructing regional geological voxel models illustrated by their application in Aggregate Resource assessments
    Geologie En Mijnbouw, 2015
    Co-Authors: D Maljers, Jan Stafleu, M J Van Der Meulen, R M Dambrink
    Abstract:

    Aggregate Resource assessments, derived from three subsequent generations of voxel models, were compared in a qualitative way to illustrate and discuss modelling progress. We compared the models in terms of both methodology and usability. All three models were produced by the Geological Survey of the Netherlands. Aggregate is granular mineral material used in building and construction, and in this case consists of sand and gravel. On each occasion ever-increasing computer power allowed us to model at a higher resolution and use more geological information to constrain interpolations. The two oldest models, built in 2005 and 2007, were created specifically for Aggregate Resource assessments, the first as proof of concept, the second for an online Resource information system. The third model was derived from the ongoing multipurpose systematic 3D modelling programme GeoTOP. We used a study area of 40 × 40 km located in the central Netherlands, which encompasses a section of the Rhine-Meuse delta and adjacent glacial terrains to the north. Aggregate Resource assessments rely on the extent to which the occurrence and grain size of sand and gravel are resolved, and on proper representation of clay and peat layers (overburden and intercalations) that affect exploitability. Average model properties (e.g. total Aggregate content) are about the same in all three models, except for a difference resulting from converting older lithological classifications to the current one. This difference illustrates that data selection and preparation are paramount, especially when dealing with quality issues. Generally speaking the results of the Aggregate Resource assessments are consistent and satisfactory for all three models, provided that they are judged at the appropriate scale. However, the assessments based on GeoTOP best approach the desired scale of use for the Aggregates industry; in that sense progress was significant and each model was a better fit for the purpose. © 2015 Netherlands Journal of Geosciences Foundation.