Huawei

About: Huawei is a company organization based out in Shenzhen, China. It is known for research contribution in the topics: Terminal (electronics) & Signal. 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..

Optimal Transcoding and Caching for Adaptive Streaming in Media Cloud: an Analytical Approach

Abstract: Nowadays, large-scale video distribution feeds a significant fraction of the global Internet traffic. However, existing content delivery networks may not be cost efficient enough to distribute adaptive video streaming, mainly due to the lack of orchestration on storage, computing, and bandwidth resources. In this paper, we leverage Media Cloud to deliver on-demand adaptive video streaming services, where those resources can be dynamically scheduled in an on-demand fashion. Our objective is to minimize the total operational cost by optimally orchestrating multiple resources. Specifically, we formulate an optimization problem, by examining a three-way tradeoff between the caching, transcoding, and bandwidth costs, at each edge server. Then, we adopt a two-step approach to analytically derive the closed-form solution of the optimal transcoding configuration and caching space allocation, respectively, for every edge server. Finally, we verify our solution throughout extensive simulations. The results indicate that our approach achieves significant cost savings compared with the existing methods used in content delivery networks. In addition, we also find the optimal strategy and its benefits can be affected by a list of system parameters, including the unit cost of different resources, the hop distance to the origin server, the Zipf parameter of users’ request patterns, and the settings of different bitrate versions for one segment.

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning

Abstract: Interactive recommender system (IRS) has drawn huge attention because of its flexible recommendation strategy and the consideration of optimal long-term user experiences. To deal with the dynamic user preference and optimize accumulative utilities, researchers have introduced reinforcement learning (RL) into IRS. However, RL methods share a common issue of sample efficiency, i.e., huge amount of interaction data is required to train an effective recommendation policy, which is caused by the sparse user responses and the large action space consisting of a large number of candidate items. Moreover, it is infeasible to collect much data with explorative policies in online environments, which will probably harm user experience. In this work, we investigate the potential of leveraging knowledge graph (KG) in dealing with these issues of RL methods for IRS, which provides rich side information for recommendation decision making. Instead of learning RL policies from scratch, we make use of the prior knowledge of the item correlation learned from KG to (i) guide the candidate selection for better candidate item retrieval, (ii) enrich the representation of items and user states, and (iii) propagate user preferences among the correlated items over KG to deal with the sparsity of user feedback. Comprehensive experiments have been conducted on two real-world datasets, which demonstrate the superiority of our approach with significant improvements against state-of-the-arts.

Virtual input/output server

Abstract: Methods, apparatuses and systems directed to virtualized access to input/output (I/O) subsystems. In one implementation, the present invention allows multiple stand-alone application servers or virtual servers to share one or more I/O subsystems, such as host-bus adapters and network interface cards. In one implementation, I/O access is managed by one or more virtual I/O servers. A virtual I/O server includes a multiplexer, and associated modules, that connect application servers over an I/O switch fabric with one or more HBA and/or NIC drivers. Implementations of the present invention can be configured to consolidate I/O access, allowing multiple servers to share one or more HBAs and NICs; dynamic control over network and storage I/O bandwidth; and provisioning of network and storage I/O access across multiple application servers.

Power control apparatus and method for a w-cdma communication system employing a high-speed downlink packet access scheme

Abstract: Disclosed is a method for controlling uplink transmission power in a handover region by a UE in communication with a Node B using an FCS scheme. The UE stores TPC commands received for a specific duration from a plurality of cells in an active set, if the UE enters in the handover region during communication with a current best cell. If a next best cell is selected from the plurality of the cells, the UE determines a transmission power offset by comparing TPC commands from the current best cell with TPC commands from the next best cell for the specific duration at a time point where the best cell is changed from the current best cell to the next best cell. The UE transmits initial transmission power for the next best cell at a transmission power level determined considering the transmission power offset.

Standardization trends and prospective views on the next generation of broadband optical access systems

Abstract: This paper reviews the major trends in the next generations of optical access systems. The motivations behind the development of advanced systems are presented, and then three major technical areas are explored. First, the field of 10 Gbit/s passive optical network (PON) systems is laid out. Second, the various solutions to long reach PON are reviewed. Third, the very wide and exciting field ofWDMand hybrid WDM-TDMA PONs are discussed. The paper closes with a review of the expected timeline for the standardization of these technologies.