Search Results - "Luo, Shouxi"
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Towards Practical and Near-Optimal Coflow Scheduling for Data Center Networks
Published in IEEE transactions on parallel and distributed systems (01-11-2016)“…In current data centers, an application (e.g., MapReduce, Dryad, search platform, etc.) usually generates a group of parallel flows to complete a job. These…”
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Enhancing the reliability of services in NFV with the cost-efficient redundancy scheme
Published in 2017 IEEE International Conference on Communications (ICC) (01-05-2017)“…Network Function Virtualization (NFV) transforms the traditional service provision architecture into a software-based structure. In NFV, Virtual Network…”
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Conference Proceeding -
3
Consistency is Not Easy: How to Use Two-Phase Update for Wildcard Rules?
Published in IEEE communications letters (01-03-2015)“…The recent proposed two-phase mechanism is a provable theory to achieve consistent updates for SDN. However, how to make it work for practical rules is…”
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Cotask scheduling in cloud computing
Published in 2017 IEEE 25th International Conference on Network Protocols (ICNP) (01-10-2017)“…Computing frameworks have been widely deployed to support global-scale services. A job typically has multiple sequential stages, where each stage is further…”
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Conference Proceeding -
5
Fast incremental flow table aggregation in SDN
Published in 2014 23rd International Conference on Computer Communication and Networks (ICCCN) (01-08-2014)“…In OpenFlow-based SDN, flow tables are TCAM-hungry and commodity switches suffer from limited concrete flow table size. One method for coping with the…”
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Conference Proceeding -
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MonLink: Piggyback Status Monitoring over LLDP in Software-Defined Energy Internet
Published in Energies (Basel) (25-03-2019)“…While software-defined networking (SDN) has been widely applied in various networking domains including datacenters, WANs (Wide Area Networks), QoS (Quality of…”
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Dynamic Topology Management in Optical Data Center Networks
Published in Journal of lightwave technology (01-10-2015)“…In recent years, there has been an exponential growth in the traffic of cloud data centers networks (DCNs). More and more users are outsourcing their computing…”
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Fast lossless traffic migration for SDN updates
Published in 2015 IEEE International Conference on Communications (ICC) (01-06-2015)“…Migration of traffic from one configuration to another is common in SDNs due to node/link failures, network maintenance, policy reconfiguration, intrusion…”
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Conference Proceeding -
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Traffic-Aware VDC Embedding in Data Center: A Case Study of FatTree
Published in China communications (01-07-2014)“…Virtualization is a common technology for resource sharing in data center. To make efficient use of data center resources, the key challenge is to map customer…”
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Decentralized deadline-aware coflow scheduling for datacenter networks
Published in 2016 IEEE International Conference on Communications (ICC) (01-05-2016)“…This paper presents D2-CAS, a novel decentralized coflow scheduling system, to minimize the rate of deadline missed coflow for datacenter networks. To design…”
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Conference Proceeding -
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Minimizing average coflow completion time with decentralized scheduling
Published in 2015 IEEE International Conference on Communications (ICC) (01-06-2015)“…In current data centers, an application (e.g. MapReduce) usually generates a collection of parallel flows sharing a common goal. These flows compose a coflow…”
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Conference Proceeding -
12
RTFN: A robust temporal feature network for time series classification
Published in Information sciences (01-09-2021)“…•Propose a robust temporal feature network (RTFN) for feature extraction.•Responsible for capturing local features and relationships among them.•RTFN can be…”
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SelfMatch: Robust semisupervised time‐series classification with self‐distillation
Published in International journal of intelligent systems (01-11-2022)“…Over the years, a number of semisupervised deep‐learning algorithms have been proposed for time‐series classification (TSC). In semisupervised deep learning,…”
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14
CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition
Published in IEEE transaction on neural networks and learning systems (27-12-2023)“…This article proposes a semi-supervised contrastive capsule transformer method with feature-based knowledge distillation (KD) that simplifies the existing…”
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Releasing the Power of In-Network Aggregation With Aggregator-Aware Routing Optimization
Published in IEEE/ACM transactions on networking (01-10-2024)“…By offloading partial of the aggregation computation from the logical central parameter servers to network devices like programmable switches, In-Network…”
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Efficient Cross-Cloud Partial Reduce With CREW
Published in IEEE transactions on parallel and distributed systems (01-11-2024)“…By allowing <inline-formula><tex-math notation="LaTeX">p</tex-math> <mml:math><mml:mi>p</mml:mi></mml:math><inline-graphic xlink:href="luo-ieq1-3460185.gif"/>…”
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Softwarized IP Multicast in the Cloud
Published in IEEE network (01-11-2021)“…In this article, we revisit the problem of how to provide "native" IP multicast support to enterprise distributed applications in today's clouds, without…”
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Efficient File Dissemination in Data Center Networks With Priority-Based Adaptive Multicast
Published in IEEE journal on selected areas in communications (01-06-2020)“…In today's data center networks (DCN), cloud applications commonly disseminate files from a single source to a group of receivers for service deployment, data…”
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Poster: Accelerate Cross-Device Federated Learning With Semi-Reliable Model Multicast Over The Air
Published in 2021 IEEE 29th International Conference on Network Protocols (ICNP) (01-11-2021)“…To achieve efficient model multicast for cross-device Federated Learning (FL) over shared wireless channels, we propose SRMP, a transport protocol that…”
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Conference Proceeding -
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Meeting Coflow Deadlines in Data Center Networks With Policy-Based Selective Completion
Published in IEEE/ACM transactions on networking (01-02-2023)“…Recently, the abstraction of coflow is introduced to capture the collective data transmission patterns among modern distributed data-parallel applications…”
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