Aggregate Resource - Explore the Science & Experts | ideXlab

Scan Science and Technology

Contact Leading Edge Experts & Companies

Aggregate Resource

The Experts below are selected from a list of 237 Experts worldwide ranked by ideXlab platform

M J Ricketts – 1st expert 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 – 2nd expert 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 – 3rd expert 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.