Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 5 of 5 for “"Cluster Scheduling"”.

  1. SparkSim: A Counterfactual Approach for Spark Cluster Scheduling

    Simulating and testing scheduling policies can be immensely time- and resourceintensive. In this work, we explore a novel approach, SparkSim, to scheduling policy training that is faster and more efficient than traditional scheduling policy testing. Our approach is based on an extension of …

    mit Repository record for SparkSim: A Counterfactual Approach for Spark Cluster Scheduling (opens in a new tab)

  2. Latency-driven performance in data centres

    … in data centres can be improved through cluster scheduling of applications informed by predictions of application performance for given network latency, and measurements of current network latency in data centres between hosts. Firstly, I show how to use the Precision Time Protocol (PTP), …

    cambridge Repository record for Latency-driven performance in data centres (opens in a new tab)

  3. An experimental study of monolithic scheduler architecture in cloud computing systems

    Scheduling in large scale computing clusters is critical to job performance and resource utilization. As the cluster size grows to thousands of machines and scheduling needs become complex and varied, scheduling in cloud-scale clusters presents unique challenges. To encourage the development of …

    uiuc Repository record for An experimental study of monolithic scheduler architecture in cloud computing systems (opens in a new tab)

  4. Operating system support for warehouse-scale computing

    … naming, management and protection, and the scheduling of work to compute resources. First, I introduce a reference model for a decentralised, distributed data centre OS, based on pervasive distributed objects and inspired by concepts in classic 1980s distributed OSes. Translucent …

    cambridge Repository record for Operating system support for warehouse-scale computing (opens in a new tab)

  5. Flexible and efficient computation in large data centres

    Increasingly, online computer applications rely on large-scale data analyses to offer personalised and improved products. These large-scale analyses are performed on distributed data processing execution engines that run on thousands of networked machines housed within an individual data centre. …

    cambridge Repository record for Flexible and efficient computation in large data centres (opens in a new tab)