Jinbin Hu

ORCID: 0000-0001-8216-9683
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About
Contact & Profiles
Research Areas
  • Cloud Computing and Resource Management
  • Software-Defined Networks and 5G
  • Interconnection Networks and Systems
  • Network Traffic and Congestion Control
  • Caching and Content Delivery
  • IoT and Edge/Fog Computing
  • Advanced Data Storage Technologies
  • Cryptography and Data Security
  • Peer-to-Peer Network Technologies
  • Distributed and Parallel Computing Systems
  • Parallel Computing and Optimization Techniques
  • Advanced Optical Network Technologies
  • Energy Harvesting in Wireless Networks
  • Wireless Power Transfer Systems
  • Mobile Ad Hoc Networks
  • Energy Efficient Wireless Sensor Networks
  • Embedded Systems Design Techniques
  • Data Stream Mining Techniques
  • Security and Verification in Computing
  • Complexity and Algorithms in Graphs
  • Cybersecurity and Information Systems
  • Advanced Battery Technologies Research
  • Advanced Research in Systems and Signal Processing
  • Generative Adversarial Networks and Image Synthesis
  • Distributed Control Multi-Agent Systems

Changsha University of Science and Technology
2021-2025

Hong Kong University of Science and Technology
2023-2024

University of Hong Kong
2022-2024

Central South University
2018-2022

University of Shanghai for Science and Technology
2015

Beijing Jiaotong University
2008-2010

Various datacenter network (DCN) load balancing schemes have been proposed in the past decade. Unfortunately, most of these solutions designed for lossy DCNs do not work well Priority Flow Control (PFC) enabled lossless DCNs, primarily due to reason that individual congestion signals used solutions, e.g., link load, queue length, Round Trip Time (RTT) and Explicit Congestion Notification (ECN), may be able correctly or timely reflect hop-by-hop PFC pausing. This paper first reveals above...

10.1109/tnet.2024.3366336 article EN IEEE/ACM Transactions on Networking 2024-02-22

Many existing load balancing mechanisms work effectively in lossy datacenter networks (DCNs), but they suffer from serious packet reordering lossless Ethernet DCNs deployed with the hop-by-hop Priority-based Flow Control (PFC). The key reason is that prior solutions are not able to perceive PFC triggering correctly and a timely manner when making decisions. Once forwarding path pauses transmission due triggering, packets allocated on it blocked, inevitably leading out-of-order...

10.1109/tnet.2024.3403671 article EN IEEE/ACM Transactions on Networking 2024-05-27

Modern data-center applications generate a diverse mix of short and long flows with different performance requirements weaknesses. The are typically delay-sensitive but to suffer the head-of-line blocking out-of-order problems. Recent solutions prioritize meet their latency requirements, while damaging throughput-sensitive flows. To solve these problems, we design Coding-based Adaptive Packet Spraying (CAPS) that effectively mitigates negative impact on each other. exploit availability...

10.1109/tnet.2019.2945863 article EN IEEE/ACM Transactions on Networking 2019-10-28

10.1016/j.jnca.2023.103692 article EN Journal of Network and Computer Applications 2023-07-01

Various datacenter network (DCN) load balancing schemes have been proposed in the past decade. Unfortunately, most of these solutions designed for lossy DCNs do not work well Priority Flow Control (PFC) enabled lossless DCNs, primarily due to reason that individual congestion signals used solutions, e.g., link load, queue length, Round Trip Time (RTT) and Explicit Congestion Notification (ECN), may be able correctly or timely reflect hop-by-hop PFC pausing. This paper first reveals above...

10.1109/icnp59255.2023.10355615 article EN 2023-10-10

Existing reactive or proactive congestion control protocols are hard to simultaneously achieve ultra-low latency and high link utilization across all workloads ranging from delay-sensitive flows bandwidth-hungry ones in datacenter networks. We present an Anti-ECN (Explicit Congestion Notification) Marking Receiver-driven Transport protocol called AMRT, which achieves both near-zero queueing delay full by reasonably increasing sending rate the case of under-utilization. Specifically, switches...

10.1109/tnsm.2022.3218343 article EN IEEE Transactions on Network and Service Management 2022-11-04

Data security and user privacy have become crucial elements in multi-tenant data centers. Various traffic types the center cloud environment their characteristics requirements. In network (DCN), short long flows are sensitive to low latency high throughput, respectively. The traditional processing approaches, however, neglect these This paper proposes a fine-grained enhancement mechanism (SEM) solve problem of heterogeneous reduce completion time (FCT) while ensuring transmission....

10.32604/cmc.2023.037150 article EN Computers, materials & continua/Computers, materials & continua (Print) 2023-01-01

Many existing load balancing mechanisms work effectively in lossy datacenter networks (DCNs), but they suffer from serious packet reordering lossless Ethernet DCNs deployed with the hop-by-hop Priority-based Flow Control (PFC). The key reason is that prior solutions are not able to correctly and timely perceive PFC triggering when making decisions. Once forwarding path pauses transmission due triggering, packets allocated on it blocked, inevitably leading out-of-order retransmission. In this...

10.1145/3605573.3605617 article EN 2023-08-07

The state-of-the-art datacenter load balancing designs commonly optimize bisection bandwidth with homogeneous switching granularity. Their performances surprisingly degrade under mixed traffic containing both short and long flows. Specifically, the flows suffer from long-tailed delay, while throughputs of also dramatically due to low link utilization packet reordering. To solve these problems, we design a traffic-aware (TLB) scheme adaptively adjust granularity according strength ones. Under...

10.1109/tnet.2021.3088276 article EN publisher-specific-oa IEEE/ACM Transactions on Networking 2021-06-22

In the Ethernet lossless Data Center Networks (DCNs) deployed with Priority-based Flow Control (PFC), head-of-line blocking problem is still difficult to prevent due PFC triggering under burst traffic scenarios even existing congestion control solutions. To address of PFC, we propose a new mechanism. The key point Congestion Using In-Network Telemetry for Lossless Datacenters (ICC) use (INT) technology obtain comprehensive information, which then fed back sender adjust sending rate timely...

10.32604/cmc.2023.035932 article EN Computers, materials & continua/Computers, materials & continua (Print) 2023-01-01

Due to the explosive growth of all kinds Internet services, data centers have become an irreplaceable and vital infrastructure support this soaring trend. Compared with traditional networks, center networks (DCNs) unique features, such as high bandwidth, low latency, many-to-one communication mode, shallow buffered switches, multi-root topology. These new characteristics pose a lot challenges previous network technics (e.g., Ethernet, Equal Cost Multi-path (ECMP), TCP), making them hard...

10.1109/access.2021.3064008 article EN cc-by IEEE Access 2021-01-01

In Priority Flow Control (PFC) enabled datacenter networks (DCNs), PFC is inevitably triggered due to bursty traffic even with end-to-end congestion control. Load balancing as a complementary mechanism transport protocols can make rerouting decisions in time alleviate PFC's head-of-line (HoL) blocking problem. However, prior solutions designed for lossy DCNs do not work well PFC-enabled networks, because the unreliable signals such separate local queue length, round-trip (RTT), explicit...

10.1145/3542637.3542641 article EN 2022-07-01

Modern data-center applications generate a diverse mix of short and long flows with different performance requirements weaknesses. The are typically delay-sensitive but to suffer the head-of-line blocking out-of-order problems. Recent solutions prioritize meet their latency requirements, while damaging throughput-sensitive flows. To solve these problems, we design Coding-based Adaptive Packet Spraying (CAPS) that effectively mitigates negative impact on each other. exploit availability...

10.1109/infocom.2018.8486354 article EN IEEE INFOCOM 2022 - IEEE Conference on Computer Communications 2018-04-01

Modern datacenter topologies typically are multi-rooted trees consisting of multiple paths between any given pair hosts. Recent load balancing designs focus on making full use available parallel to provide high bisection bandwidth. However, they agnostic the mixed traffic generated by diverse applications in data centers and respectively same granularity rerouting flows regardless flow type. Therefore, short suffer long-tailed queueing delay reordering problems, while throughputs long also...

10.1145/3337821.3337866 article EN 2019-07-25

In Vehicular Ad Hoc Networks (VANETs), the high mobility of vehicle nodes makes network topology change frequently, reducing forwarding efficiency MAC protocol. existing enhanced TDMA-based protocol, farthest node in current transmission range is chosen as to accelerate multi-hop transmission. However, we use probabilistic model show that there potentially exist better nodes, which could effectively improve efficiency. Therefore, propose a motion-prediction based TDMA predicts next frame...

10.3390/electronics9111792 article EN Electronics 2020-10-29

As datacenter networks continue to support a wider range of applications and faster link speeds, they face the challenge managing bursty traffic transient congestion. End-to-end congestion controls (CCs) find it increasingly difficult maintain effective due inherent feedback delay. To address this issue, per-hop flow control (FC) has gained popularity its ability react promptly However, existing FC mechanisms either lack fine-grained (i.e., per-flow granularity) or require an impractical...

10.1109/icnp59255.2023.10355582 article EN 2023-10-10
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