Age, Reproduction, Growth, Condition and Diet of the Introduced Yellow Bass, \u3ci\u3eMorone mississippiensis\u3c/i\u3e, in Barren River Lake, Kentucky

Introduction of fish species to North American drainages has occurred for over 100 years. Introduced fish species have been documented to have adverse effects on both the environment and native species of the drainage into which they have been introduced. To better understand the effects that introduced species may have on a particular drainage, it is essential to understand aspects of the introduced species’ life history. The objectives of the current study is to quantify the age, reproduction, growth, condition and diet of the yellow bass, Morone mississippiensis, in Barren River Lake, Kentucky. Monthly collections from three areas on Barren River Lake were made via a boat-mounted electrofisher from March 2008 to March 2009. Fish age was estimated by examining the sagittal otoliths of each individual. Reproductive condition was assessed using the mean gonadosomatic index (GSI) of all sexually mature individuals by month. Yearly growth rates were estimated by computing the mean length at age for each age class and subsequent calculation of the von Bertalanffy growth function (VBGF). To estimate the condition of yellow bass as it changed throughout the sample period, relative weight of each individual was calculated and the mean monthly relative weight was calculated. To examine the diet of yellow bass, diet items were identified to the lowest practical taxonomic level. Then, dry weight of each diet item was estimated and pooled by season to assess the season changes in the diet of yellow bass. Individuals of age group 3 were the most frequent. Mean GSI was significantly higher in March, April and May of 2008. Calculation of the VBGF yielded 254.7 mm as the maximum attainable mean total length of yellow bass in Barren River Lake. VBGF predicted mean total lengths of age classes 0-8 were as follows: 21.7 mm, 64.4 mm, 99.2 mm, 127.7 mm, 151.0 mm, 170.0 mm, 185.5 mm, 198.2 mm, and 208.5 mm. Relative weight was highest in summer. The diet of adult and sub-adult yellow bass relied heavily on chironomid larvae and pupae throughout the year, although diet item consumption was very low in winter. Young-of-year gizzard shad (Dorosoma cepedianum), however, became the most important adult diet item in the spring and summer. To better understand the impacts that the introduced yellow bass has on the ecosystem of Barren Rive Lake, a multi-year study including an estimation of relative abundance is recommended

Experimental demonstration of gridless spectrum and time optical switching

An experimental demonstration of gridless spectrum and time switching is presented. We propose and demonstrate a bit-rate and modulation-format independent optical cross-connect architecture, based on gridless spectrum selective switch, 20-ms 3D-MEMS and 10-ns PLZT optical switches, that supports arbitrary spectrum allocation and transparent time multiplexing. The architecture is implemented in a four-node field-fiber-linked testbed to transport continuous RZ and NRZ data channels at 12.5, 42.7 and 170.8 Gb/s, and selectively groom sub-wavelength RZ channels at 42.7 Gb/s. We also showed that the architecture is dynamic and can be reconfigured to meet the routing requirements of the network traffic. Results show error-free operation with an end-to-end power penalty between 0.8 dB and 5 dB for all continuous and sub-wavelength channels

Parallel Modular Scheduler Design for Clos Switches in Optical Data Center Networks

As data centers enter the exascale computing era, the traffic exchanged between internal network nodes, increases exponentially. Optical networking is an attractive solution to deliver the high capacity, low latency, and scalable interconnection needed. Among other switching methods, packet switching is particularly interesting as it can be widely deployed in the network to handle rapidly-changing traffic of arbitrary size. Nanosecond-reconfigurable photonic integrated switch fabrics, built as multi-stage architectures such as the Clos network, are key enablers to scalable packet switching. However, the accompanying control plane needs to also operate on packet timescales. Designing a central scheduler, to control an optical packet switch in nanoseconds, presents a challenge especially as the switch size increases. To this end, we present a highly-parallel, modular scheduler design for Clos switches along with a proposed routing scheme to enable nanosecond scalable scheduling. We synthesize our scheduler as an application-specific integrated circuit (ASIC) and demonstrate scaling to a 256 × 256 size with an ultra-low scheduling delay of only 6.0 ns. In a cycle-accurate rack-scale network emulation, for this switch size, we show a minimum end-to-end latency of 30.8 ns and maintain nanosecond average latency up to 80% of input traffic load. We achieve zero packet loss and short-tailed packet latency distributions for all traffic loads and switch sizes. Our work is compared to state-of-the-art optical switches, in terms of scheduling delay, packet latency, and switch throughput

Scaling PULSE Data Center Network Architecture and Scheduling Optical Circuits in Sub-Microseconds

PULSE, an optical circuit switched data center network, employs custom ASIC schedulers to reconfigure circuits in 240 ns. The revised PULSE architecture scales to 10,000s blades, achieves >95% sustained throughput, with low median (1.23 µs) and tail (145 µs) latencies, while consuming 115 pJ/bit and costing $9.04/Gbps

Field trial of a 15 Tb/s adaptive and gridless OXC supporting elastic 1000-fold all-optical bandwidth granularity

An adaptive gridless OXC is implemented using a 3D-MEMS optical backplane plus optical modules (sub-systems) that provide elastic spectrum and time switching functionality. The OXC adapts its architecture on demand to fulfill the switching requirements of incoming traffic. The system is implemented in a seven-node network linked by installed fiber and is shown to provide suitable architectures on demand for three scenarios with increasing traffic and switching complexity. In the most complex scenario, signals of mixed bit-rates and modulation formats are successfully switched with flexible per-channel allocation of spectrum, time and space, achieving over 1000-fold bandwidth granularity and 1.5 Tb/s throughput with good end-to-end performance

MONet: Heterogeneous Memory over Optical Network for Large-Scale Data Centre Resource Disaggregation

Memory over Optical Network (MONet) system is a disaggregated data center architecture where serial (HMC) / parallel (DDR4) memory resources can be accessed over optically switched interconnects within and between racks. An FPGA/ASIC-based custom hardware IP (ReMAT) supports heterogeneous memory pools, accommodates optical-to-electrical conversion for remote access, performs the required serial/parallel conversion and hosts the necessary local memory controller. Optically interconnected HMC-based (serial I/O type) memory card is accessed by a memory controller embedded in the compute card, simplifying the hardware near the memory modules. This substantially reduces overheads on latency, cost, power consumption and space. We characterize CPU-memory performance, by experimentally demonstrating the impact of distance, number of switching hops, transceivers, channel bonding and bit-rate per transceiver on bit-error rate, power consumption, additional latency, sustained remote memory bandwidth/throughput (using industry standard benchmark STREAMS) and cloud workload performance (such as operations per second, average added latency and retired instructions per second on memcached with YCSB cloud workloads). MONet pushes the CPU-memory operational limit from a few centimetres to 10s of metres, yet applications can experience as low as 10% performance penalty (at 36m) compared to a direct-attached equivalent. Using the proposed parallel topology, a system can support up to 100,000 disaggregated cards

A Vectorised Packing Algorithm for Efficient Generation of Custom Traffic Matrices

We propose a new algorithm for generating custom network traffic matrices which achieves 13×, 38×, and 70× faster generation times than prior work on networks with 64, 256, and 1024 nodes respectively

Traffic generation for benchmarking data centre networks

Benchmarking is commonly used in research fields, such as computer architecture design and machine learning, as a powerful paradigm for rigorously assessing, comparing, and developing novel technologies. However, the data centre network (DCN) community lacks a standard open-access and reproducible traffic generation framework for benchmark workload generation. Driving factors behind this include the proprietary nature of traffic traces, the limited detail and quantity of open-access network-level data sets, the high cost of real world experimentation, and the poor reproducibility and fidelity of synthetically generated traffic. This is curtailing the community's understanding of existing systems and hindering the ability with which novel technologies, such as optical DCNs, can be developed, compared, and tested. We present TrafPy; an open-access framework for generating both realistic and custom DCN traffic traces. TrafPy is compatible with any simulation, emulation, or experimentation environment, and can be used for standardised benchmarking and for investigating the properties and limitations of network systems such as schedulers, switches, routers, and resource managers. We give an overview of the TrafPy traffic generation framework, and provide a brief demonstration of its efficacy through an investigation into the sensitivity of some canonical scheduling algorithms to varying traffic trace characteristics in the context of optical DCNs. TrafPy is open-sourced via GitHub and all data associated with this manuscript via RDR

A novel ingress node design for video streaming over optical burst switching networks

This paper introduces a novel ingress node design which takes advantage of video data partitioning in order to deliver enhanced video streaming quality when using H.264/AVC codec over optical burst switching networks. Ns2 simulations show that the proposed scheme delivers improved video traffic quality without affecting other traffic, such as best effort traffic. Although the extra network load is comparatively small, the average gain in video PSNR was 5 dB over existing burst cloning schemes, with a maximum end-to-end delay of 17 ms, and jitter of less than 0.35 ms

Demonstrating Optically Interconnected Remote Serial and Parallel Memory in Disaggregated Data Centers

Remote serial and parallel memory using memory-over-network bridge and optical switched interconnect is demonstrated. Remote memory bandwidth of 93% (HMC) and 66% (DDR4) of the local 3.2 and 3.7 GB/s bandwidth is showcased