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Filtering by: Creator Goldberg, Mark S. Remove constraint Creator: Goldberg, Mark S. License Attribution-NoDerivatives 4.0 (CC BY-ND 4.0) Remove constraint License: Attribution-NoDerivatives 4.0 (CC BY-ND 4.0)

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  • Fair packet enqueueing and marking in multi-queue datacenter networks

    Creator:
    Alanazi, Sultan and Hamdaoui, Bechir
    Abstract:
    Recently, Explicit Congestion Notification (ECN) has been leveraged by most Datacenter Network (DCN) protocols for congestion control to achieve high throughput and low latency. However, the majority of these approaches assume that each switch port has one queue while current industry trends towards having multiple queues per switch port. To...
    Resource Type:
    Technical Report
    Full Text:
    mark all packets when the instantaneous queue length exceeds the single threshold. However, these

  • Failure-resilient congestion-aware load balancing protocol for three-tier clos data centers

    Creator:
    Alanazi, Sultan and Hamdaoui, Bechir
    Abstract:
    Clos-based network topologies have been deployed in production data center networks to provide multiple path alternatives between the pairs of network hosts. Production data centers operate under varying traffic dynamics and topological asymmetry. Therefore, a good load balancing scheme must adapt to network conditions and dynamics in real-time and intelligently...
    Resource Type:
    Technical Report
    Full Text:
    0 20 40 60 80 100 A v g . F lo w L o s s R a te (Q u e u e O v e rf lo w ) (c

  • Unethical Numbers? A Meta-analysis of Library Learning Analytics Studies

    Creator:
    Robertshaw, M. Brooke
    Abstract:
    Following trends in higher education that emphasize quantitative analytical approaches to assess educational outcomes, academic libraries are increasingly attempting to quantify their impacts on student learning and demonstrate their value to the university’s educational mission. By applying learning analytics techniques to library use and instructional data, libraries have especially focused...
    Resource Type:
    Article