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Showing 1 to 13 of 13 for “"green computing"”.

  1. Cyber-sustainability : towards a sustainable digital future

    … a growing popular concern for `sustainability', Green Computing has emerged as a new `sustainability' discourse in which researchers explore solutions to reduce the environmental impact of computing technologies themselves, as well as solutions to reduce the environmental impact of other …

    lancaster Repository record for Cyber-sustainability : towards a sustainable digital future (opens in a new tab)

  2. Power Saving Analysis and Experiments for Large Scale Global Optimization

    Green computing, an emerging field of research that seeks to reduce excess power consumption in high performance computing (HPC), is gaining popularity among researchers. Research in this field often relies on simulation or only uses a small cluster, typically 8 or 16 nodes, because of the lack of …

    vt Repository record for Power Saving Analysis and Experiments for Large Scale Global Optimization (opens in a new tab)

  3. Bio-inspired routing algorithms for Software Defined Networking

    … In addition, the concept of Green Computing and, more specifically, energy-aware solutions have gained attention in the last few years in many fields of ICT: network management is one of those. Today s power consumption is considered a fundamental parameter to take into …

    catania Repository record for Bio-inspired routing algorithms for Software Defined Networking (opens in a new tab)

  4. ARCHITECTURE-AWARE HARD-REAL-TIME SCHEDULING ON MULTI-CORE ARCHITECTURES

    … power wall and the increasing awareness towards green computing discourages this solution. This leads us to use multi-core architectures. Due to the same reason, real-time systems are also migrating from single-core towards multi-core systems. While multi-core systems provide scalable high …

    siu-theses Repository record for ARCHITECTURE-AWARE HARD-REAL-TIME SCHEDULING ON MULTI-CORE ARCHITECTURES (opens in a new tab)

  5. Minimally Invasive Solutions to Challenges Posed by Mobility Changes

    … that are only just beginning to remake the computing landscape. The decoupling of users, devices, and software has invalidated properties that enabled desired functionality: resulting in compromised function. Power interfaces utilize physical user interactions to determine when transitions …

    columbia-diss Repository record for Minimally Invasive Solutions to Challenges Posed by Mobility Changes (opens in a new tab)

  6. GreenMap: MapReduce with ultra-high-efficiency power delivery

    … of large data centers. Though much work in green computing has focused on improving efficiency for computation units such as CPU’s or servers, little attention has been paid to power delivery structures, such as voltage converters, which takes 10-20% of total energy consumption even before …

    uiuc Repository record for GreenMap: MapReduce with ultra-high-efficiency power delivery (opens in a new tab)

  7. Power Analysis and Prediction for Heterogeneous Computation

    … procurement and operation of high-performance computing (HPC) systems. These systems use graphics processing units (GPUs) for performance boost. In order to identify inexpensive-to-acquire and inexpensive-to-operate systems, it is important to do a systematic comparison of such systems with …

    vt Repository record for Power Analysis and Prediction for Heterogeneous Computation (opens in a new tab)

  8. Inference frameworks in computational biology: from protein-protein interaction networks using machine learning to carbon footprint estimation.

    … These analyses also highlight disparities in computing resources needed to train the prediction tools; some models run within seconds while others need hours. Longer runtimes require more energy and are responsible for more greenhouse gas emissions. Being able to quantify this impact is …

    cambridge Repository record for Inference frameworks in computational biology: from protein-protein interaction networks using machine learning to carbon footprint estimation. (opens in a new tab)

  9. Performance optimization and energy efficiency of big-data computing workflows

    … workflows comprised of moldable parallel computing jobs, such as MapReduce, with intricate inter-job dependencies. The granularity of task partitioning in each moldable job of such big data workflows has a significant impact on workflow completion time, energy consumption, and financial …

    njit Repository record for Performance optimization and energy efficiency of big-data computing workflows (opens in a new tab)

  10. Reducing Cluster Power Consumption by Dynamically Suspending Idle Nodes

    … damages the environment, optimizing the world's computing infrastructure for power consumption is worthwhile. This thesis is one attempt at such an optimization. In particular, I began by building a cluster of 6 Intel Atom based low-power nodes to perform work analogous to data center clusters. …

    calpoly Repository record for Reducing Cluster Power Consumption by Dynamically Suspending Idle Nodes (opens in a new tab)

  11. Metrics, Models and Methodologies for Energy-Proportional Computing

    Massive data centers housing thousands of computing nodes have become commonplace in enterprise computing, and the power consumption of such data centers is growing at an unprecedented rate. Exacerbating such costs, data centers are often over-provisioned to avoid costly outages associated with the …

    vt Repository record for Metrics, Models and Methodologies for Energy-Proportional Computing (opens in a new tab)

  12. Optimizing performance under thermal and power constraints for HPC data centers

    Energy, power and resilience are the major challenges that the HPC community faces in moving to larger supercomputers. Data centers worldwide consumed energy equivalent to 235 billion kWh in 2010. A significant portion of that energy and power consumption is devoted to cooling. This thesis proposes …

    uiuc Repository record for Optimizing performance under thermal and power constraints for HPC data centers (opens in a new tab)