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Many scientific workflows require large data transfers between distributed instrument facilities, storage and computing resources. To ensure that these resources are maximally utilized, R&E networks connecting these resources must ensure that an inherently unpredictable network behaves predictably. In practice, this amounts to the per-application over-provisioning of network resources in an attempt...
Cheetah flows, which are high-rate flows, can cause increased packet delays and losses in other flows. Leveraging the flexibility offered by the NFV paradigm, our proposed Cheetah Flow Identification Network Function (CFINF) uses a novel method in which a new measure, short-duration flight rate, which is the rate of a flight of packets received over a fixed (short) time interval, is computed and compared...
This paper presents a measurement study of congestion on a production, highly utilized, 72K-core InfiniBand cluster called Yellowstone. The measurement study consists of a 23-day data collection phase in which port counters of the Yellowstone switches were read multiple times every hour to check for stalls during which the port is unable to send data due to a lack of flow-control credits. A total...
Software Defined Network (SDN) technologies have enabled the introduction of new services such as dynamic Layer-1 (L1) circuits and Layer-2 (L2) virtual circuits (VCs). This work presents a cross-layer design that leverages transport- and link-layer protocols to enable the full use of high-rate circuits/VCs to achieve high-throughput transfers. Three cases are considered: (i) single circuit/rate-guaranteed...
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