Huaqing Tu

ORCID: 0000-0003-4051-5554
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About
Contact & Profiles
Research Areas
  • Software-Defined Networks and 5G
  • Cloud Computing and Resource Management
  • Caching and Content Delivery
  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Network Security and Intrusion Detection
  • Interconnection Networks and Systems
  • Privacy-Preserving Technologies in Data
  • Network Traffic and Congestion Control
  • Advanced Computing and Algorithms
  • Software System Performance and Reliability
  • Recommender Systems and Techniques
  • Energy Efficient Wireless Sensor Networks
  • Embedded Systems Design Techniques

Zhejiang Lab
2023-2024

University of Science and Technology of China
2020-2023

Suzhou University of Science and Technology
2022-2023

Chinese Academy of Sciences
2023

In multi-tenant clouds, requests need to traverse a set of network functions (NFs) in specific order, referred as service function chain (SFC), for security and business logic issues. Due workload dynamics, the central controller cloud needs frequently update SFC routing, so optimize various performance, such load balancing. To achieve effective routing update, we should consider two critical requirements: <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...

10.1109/tnet.2021.3137418 article EN IEEE/ACM Transactions on Networking 2022-01-05

In multi-tenant clouds, requests need to traverse a set of network functions (NFs) in specific order, referred as service function chain (SFC), for security and business logic issues. Due workload dynamics, the central controller cloud needs frequently update SFC routing, so optimize various performance, such load balancing. To achieve effective routing update, we should consider two critical requirements: system robustness real-time update. Without considering these requirements, prior...

10.1109/iwqos52092.2021.9521350 article EN 2021-06-25

Cloud providers host various services for tenants' requests (e.g., software-as-a-service) and seek to serve as many possible revenue maximization. Considering a large number of requests, the previous works on fine-grained request scheduling may lead poor system scalability (or high schedule overhead) break tenant isolation. In this article, we design tenant-grained framework conquer above two disadvantages. We formulate problem an integer linear programming prove its NP-hardness. consider...

10.1109/tpds.2022.3199031 article EN IEEE Transactions on Parallel and Distributed Systems 2022-08-15

In Mobile Edge Computing (MEC), users' traffic needs to traverse a set of service functions in specific order, referred as function chain (SFC), complete requests. Thus, SFC routing is an essential issue MEC. practice, user mobility and resource limitation are two critical challenges However, the previous works either ignore or limitation, especially flow-table resources, leading high transmission latency overhead. this paper, we study mobility-aware We design scheme called MASCOT address...

10.1109/secon55815.2022.9918567 article EN 2022-09-20

In a hyper-scale cloud data center, large number of control messages are distributed to hundreds thousands compute nodes from logically centralized plane. The delivery these messages, a.k.a. southbound is critical infrastructure management, as it greatly affects customer experience. Existing works mainly deal with message by two methods: point-to-point transmission and Message Queue (MQ)-based solutions. With the method, each sent plane directly, which may cause high complexity overhead in...

10.1109/icpads56603.2022.00085 article EN 2023-01-01

In the edge cloud network, service providers place virtual network functions (VNFs) in clouds to serve users’ requests. Thus, it is essential consider VNF placement and request scheduling clouds. Existing works often focus on minimizing completion time or maximizing throughput utilize resources ensure QoS efficiently. However, they ignore two practical factors: malicious users failed VNFs, leading poor robustness. To this end, paper studies robustness-aware scheduling, named Reveal....

10.2139/ssrn.4421595 preprint EN 2023-01-01
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