Huawei

About: Huawei is a company organization based out in Shenzhen, China. It is known for research contribution in the topics: Terminal (electronics) & Node (networking). The organization has 41417 authors who have published 44698 publications receiving 343496 citations. The organization is also known as: Huawei Technologies & Huawei Technologies Co., Ltd..

Aeolus: A Building Block for Proactive Transport in Datacenters

Abstract: As datacenter network bandwidth keeps growing, proactive transport becomes attractive, where bandwidth is proactively allocated as "credits" to senders who then can send "scheduled packets" at a right rate to ensure high link utilization, low latency, and zero packet loss. While promising, a fundamental challenge is that proactive transport requires at least one-RTT for credits to be computed and delivered. In this paper, we show such one-RTT "pre-credit" phase could carry a substantial amount of flows at high link-speeds, but none of existing proactive solutions treats it appropriately. We present Aeolus, a solution focusing on "pre-credit" packet transmission as a building block for proactive transports. Aeolus contains unconventional design principles such as scheduled-packet-first (SPF) that de-prioritizes the first-RTT packets, instead of prioritizing them as prior work. It further exploits the preserved, deterministic nature of proactive transport as a means to recover lost first-RTT packets efficiently. We have integrated Aeolus into ExpressPass[14], NDP[18] and Homa[29], and shown, through both implementation and simulations, that the Aeolus-enhanced solutions deliver signiicant performance or deployability advantages. For example, it improves the average FCT of ExpressPass by 56%, cuts the tail FCT of Homa by 20x, while achieving similar performance as NDP without switch modifications.

Systems and methods for providing customized virtual wireless networks based on service oriented network auto-creation

Abstract: System and method embodiments are provided for providing customized virtual networks based on SONAC. In an embodiment, a network management entity for providing a customized VN includes a SONAC module executed by a computing device that is connected to a wireless network, the SONAC module configured to receive service requirement data from the wireless network and create a service customized VN according to the service requirement data, the service requirement data describing one or more service requirements, wherein the SONAC module comprises an interface to interact with: an SDT component, the SDT component used by the SONAC module to determine a service customized logical topology; an SDRA component that maps the logical topology to physical network resources within the wireless network; and a SDP component that determines an end-to-end data transport protocol for communication between a first device and a second device via the wireless network

Neural enquirer: learning to query tables in natural language

Abstract: We propose NEURAL ENQUIRER -- a neural network architecture for answering natural language (NL) questions based on a knowledge base (KB) table. Unlike existing work on end-to-end training of semantic parsers [Pasupat and Liang, 2015; Neelakantan et al., 2015], NEURAL ENQUIRER is fully "neuralized": it finds distributed representations of queries and KB tables, and executes queries through a series of neural network components called "executors". Executors model query operations and compute intermediate execution results in the form of table annotations at different levels. NEURAL ENQUIRER can be trained with gradient descent, with which the representations of queries and the KB table are jointly optimized with the query execution logic. The training can be done in an end-to-end fashion, and it can also be carried out with stronger guidance, e.g., step-by-step supervision for complex queries. NEURAL ENQUIRER is one step towards building neural network systems that can understand natural language in real-world tasks. As a proof-of-concept, we conduct experiments on a synthetic QA task, and demonstrate that the model can learn to execute reasonably complex NL queries on small-scale KB tables.

Global Wireless Machine-to-Machine Standardization

Abstract: Machine-to-machine (M2M) communications are gaining more prominence in wireless communication. However, the current systems are optimized more for human-to-human (H2H) than M2M communications. Therefore it's important that wireless technologies evolve and develop competitive capabilities to efficiently support M2M communications. This article presents a snapshot of the progress made in developing M2M communication standards.

Mobile communication system, base station device, mobile station device, and mobile communication method

Abstract: A mobile communication system includes a mobile station device and a base station device. The base station device includes a cell identification information transmission unit which transmits cell identification information of base station devices transmitting radio signals of the same synchronization channel, to the mobile station device when there are at least two base station devices transmitting radio signals of the same synchronization channel within a predetermined communication area. The mobile station device includes a measurement result transmission unit which performs a measurement process based on the cell identification information of the base station devices and transmits the measurement result acquired by the measurement process to the base station device.