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Utilizing multiple access technologies such as 5G, 4G, and Wi-Fi within a coherent framework is currently standardized by 3GPP within 5G ATSSS. Indeed, distributing packets over multiple networks can lead to increased robustness, resiliency and capacity. A key part of such a framework is the multi-access proxy, which transparently distributes packets over multiple paths. As the proxy needs to serve thousands of customers, scalability and performance are crucial for operator deployments. In this paper, we leverage recent advancements in data plane programming, implement a multi-access proxy based on the MP-DCCP tunneling approach in P4 and hardware accelerate it by deploying the pipeline on a smartNIC. This is challenging due to the complex scheduling and congestion control operations involved. We present our pipeline and data structures design for congestion control and packet scheduling state management. Initial measurements in our testbed show that packet latency is in the range of 25 μs demonstrating the feasibility of our approach.
A Case Study of the Basic Learners’ Struggles in Guessing from Context to Retain Words Learned
(2022)
Guessing meaning from context is a challenging strategy for Second Language Learners (SLLs). In using the strategy, research found that poor students or low proficiency learners struggled in their attempts to use it. Mainly, it was reported that it was due to their vocabulary knowledge was limited. In another aspect, retaining vocabulary learnt is also important. Such is essential since learning vocabulary does not mean knowing the definition only. Yet, learners must also be able to use the vocabulary as they engage in language skills such as reading, writing, speaking and listening. The study aims at finding the hindrances faced among poor students’ using contextual clues in retaining vocabulary. The study employed a case study to collect data from two basic students studying at a tertiary level. The study found that their hindrances in guessing meaning contexts were due to their being confused in guessing meaning when reading a sentence. Also, it was found that they were not able to find clues since they lacked vocabulary to guess correctly. The study implied that guessing meaning from context required sizeable vocabulary knowledge. Therefore, more training is necessary to assist basic learners in being successful in guessing from contexts.
Utilizing multiple access networks such as 5G, 4G, and Wi-Fi simultaneously can lead to increased robustness, resiliency, and capacity for mobile users. However, transparently implementing packet distribution over multiple paths within the core of the network faces multiple challenges including scalability to a large number of customers, low latency, and high-capacity packet processing requirements. In this paper, we offload congestion-aware multipath packet scheduling to a smartNIC. However, such hardware acceleration faces multiple challenges due to programming language and platform limitations. We implement different multipath schedulers in P4 with different complexity in order to cope with dynamically changing path capacities. Using testbed measurements, we show that our CMon scheduler, which monitors path congestion in the data plane and dynamically adjusts scheduling weights for the different paths based on path state information, can process more than 3.5 Mpps packets 25 μs latency.