- Advanced Optical Network Technologies
- Software-Defined Networks and 5G
- Optical Network Technologies
- Advanced Photonic Communication Systems
- Network Traffic and Congestion Control
- Caching and Content Delivery
- Interconnection Networks and Systems
- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Cooperative Communication and Network Coding
- Advanced Data Storage Technologies
- Ferroelectric and Piezoelectric Materials
- Opportunistic and Delay-Tolerant Networks
- Microwave Dielectric Ceramics Synthesis
- Peer-to-Peer Network Technologies
- Mobile Ad Hoc Networks
- Advanced MIMO Systems Optimization
- Advanced Wireless Network Optimization
- Age of Information Optimization
- Distributed and Parallel Computing Systems
- Network Security and Intrusion Detection
- Dielectric materials and actuators
- Network Packet Processing and Optimization
- Blockchain Technology Applications and Security
- Cognitive Radio Networks and Spectrum Sensing
University of Electronic Science and Technology of China
2015-2024
Alibaba Group (United States)
2020-2024
Krirk University
2024
Fujian Electric Power Survey & Design Institute
2024
Guizhou University
2024
Beijing Institute of Big Data Research
2023
China Mobile (China)
2022
Alibaba Group (China)
2022
Changhai Hospital
2021
Second Military Medical University
2021
Alibaba runs the largest e-commerce platform in world serving more than 600 million customers, with a GMV (gross merchandise value) exceeding USD 768 billion FY2018. Online transactions have three notable characteristics: (1) drastic increase of per second kickoff major sales and promotion events, (2) large number hot records that can easily overwhelm system buffers, (3) quick shift "temperature'' (hot v.s. warm cold) different due to availability promotions on categories over short time...
Information centric networks (ICNs) allow content objects to be cached within the network, so as provide efficient data delivery. Existing works on in-network caches mainly focus minimizing redundancy of improve cache hit ratio, which may not lead significant bandwidth saving. On other hand, it could result in too frequent caching operations, i.e., placement and replacement, causing more power consumption at nodes, shall avoided energy-limited delivery environments, e.g., wireless networks....
Service Function Chaining (SFC) is a crucial technology for future Internet. It aims to overcome the limitation of current deployment models which rigid and static. Application this relies on algorithms that can optimally mapping SFC substrate network. This category referred as "Service Resource Allocation (SFC-RA)" or "VNF placement (VNFP)" algorithms. paper presents survey researches in SFC-RA After presenting formulation related problems, several variants problem are summarized. At last,...
Edge computing is a promising technology that offers data analysis and for Internet of Things (IoT) services at the network edge. It has potential to significantly reduce latency improve reliability IoT by allowing computation workloads local generated devices be offloaded edge nodes. This paper aims develop algorithms efficient provision both job assignment resource allocation networks. The main objective minimize long-term average response time delay subject constraints on resources power...
Distributed in-network cloud architecture is a promising solution to efficiently host next generation internet-of-things (IoT) services. With the rapid increase of IoT devices and applications, backhaul or backbone networks, which transmit traffic various clouds, will experience predicted explosion in volume carried traffic. To guarantee QoS services improve network performance, it crucial for operator implement efficient routing optimization strategies As networking paradigm,...
With an ambitious increase in the number of Internet Things (IoT) terminals, IoT networks face a huge challenge which is providing diverse and complex network services with different requirements on common infrastructure. To solve this challenge, Software Defined Network (SDN) Function Virtualization (NFV) are adopted to build next-generation softwarized virtualized. This way, functions virtualized as Virtualized Functions (VNFs) service consists set VNFs. One main challenges for realizing...
With the development of Mobile Edge Computing (MEC) and Internet Things (IoT) technology, various real-time monitoring control applications are deployed to benefit people's daily life. The performance these relies heavily on timeliness collected environmental information, which can be effectively quantified by recently introduced metric named age information (AoI). Although extensive researches have been conducted optimize AoI under circumstances, works commonly require a priori about system...
In Software Defined Networks (SDN), more packet fields are included to design fine-grained policies. These policies stored as entries in switch Flow Table. However, cause the scalability issue a single flow entry needs larger storage space and significant number of need be stored, but Table is limited due constraints Ternary Content Addressable Memory (TCAM). To address this issue, we propose Adaptive Hard Timeout Method (AHTM) improve utilization by optimizing timeouts entries, thus reused...
In this paper, we study the tradeoff between two important traffic engineering objectives: load balance and energy efficiency. Although traditional commonly used multi-objective optimization methods can yield a Pareto efficient solution, they need to construct an aggregate objective function (AOF) or model one of objectives as constraint in problem formulation. As result, it is difficult achieve fair these objectives. Accordingly, induce Nash bargaining framework which treats virtual players...
In Software Defined Networks (SDN), applications on the controller could enforce fine-grained control flows by policies employing more packet fields. These are converted to flow entries and stored in switch Flow Table. To store these entries, Table requires large storage space because an entry consisted of fields needs number also increases significantly due fine-granularity definition flows. However, has limited owing constraints Ternary Content Addressable Memory (TCAM). As a result, SDN...
Network virtualization has been proposed as a promising method to mitigate the ossification of Internet by allowing multiple heterogeneous virtual networks (VNs) coexist on shared substrate network. One major challenges in this is VN embedding (VNE) problem how map efficiently nodes and links onto network considering constraints associated with different networks. This paper aims solve VNE geographical context flexi-grid optical where modulation modes can be selected optimally. We provide an...
Existing data storage systems offer a wide range of functionalities to accommodate an equally diverse applications. However, new classes applications have emerged, e.g., blockchain and collaborative analytics, featuring versioning, fork semantics, tamper-evidence or any combination thereof. They present opportunities for efficiently support such by embedding the above requirements into storage. In this paper, we ForkBase, engine specifically designed provide efficient forkable By integrating...
The advances in wavelength-division multiplexing (WDM) technology are expected to facilitate bandwidth-intensive multicast applications. A single fiber failure such a network, however, can disrupt the information dissemination several destination nodes "Iight-tree"-based session. Thus it is imperative protect sessions. In this paper, we propose novel protection scheme, called through spanning paths (MPSP), for resource efficient with spare capacity sharing. Here, path from leaf node any...
Software-Defined Networking (SDN) provides programmable, flexible and fine-grained traffic control capability, which paves the way for realizing dynamic high-performance measurement engineering. In SDN paradigm, forwarding strategies are realized through flow tables stored in Tenantry Content Addressable Memories (TCAM) of switches. However, number TCAM entries switches is limited. this paper, we aim to jointly optimize Traffic Matrix Measurement (TMM) Engineering (TE) process under capacity...
Mobile edge computing (MEC) is a new paradigm that provides cloud services at the of networks. To achieve better performance with limited resources, peer offloading between cooperative servers (e.g. MEC- enabled base stations) has been proposed as an effective technique to handle bursty and spatially imbalanced arrival computation tasks. While various metrics policies have considered in literatures, worst-case response time, common Quality Service(QoS) requirement real-time applications, yet...