A5046890227- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Age of Information Optimization
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
- Software-Defined Networks and 5G
- Nicotinic Acetylcholine Receptors Study
- Blockchain Technology Applications and Security
- Scientific Computing and Data Management
- IoT Networks and Protocols
- Stochastic Gradient Optimization Techniques
- Software System Performance and Reliability
- Receptor Mechanisms and Signaling
- Molecular Communication and Nanonetworks
- Business Process Modeling and Analysis
- Chemical Synthesis and Analysis
East China University of Science and Technology
2022-2024
Fujian Institute of Oceanography
2024
Ministry of Natural Resources
2024
Microservices are becoming increasingly popular in the construction of cloud applications. On basis containers, microservice instances can be implemented with high scalability and maintainability. Due to need ensuring various quality service (QoS) requirements two-layer resource structure containers virtual machines (VMs), workflow scheduling clouds is a challenging problem address. This paper proposes heuristic algorithm GSMS minimize execution cost microservice-based application while...
With the rapid development of cloud applications, computing requests data centers have increased significantly, consuming a lot energy, making unsustainable, which is very unfavorable from both provider's point view and environmental view. Therefore, it crucial to minimize energy consumption improve resource utilization while ensuring user service quality constraints. In this paper, we propose hybrid workflow scheduling algorithm (Online Hybrid Dynamic Scheduling, OHDS), aims tasks maximize...
Virtualized Network Function (VNF) and Service Chain (SFC) are the fundamental components in Functions Virtualization (NFV) infrastructure, which supports evolution of modern 5G networks. For online Internet Things (IoT) applications, characterized by dynamic diverse requirements, achieving optimal quality service hinges on a resource-efficient yet performant SFC caching strategy, is critical challenge. Besides, despite performance boost flexibility brought cloud-native technology, it brings...
Summary As a burgeoning paradigm, collaborative mobile edge computing (C‐MEC) can cater to growing computation demand of devices (MDs). However, there are great challenges for joint task offloading and resource allocation. In addition, failures on both MDs servers greatly affect reliable execution. This paper investigates the optimization problem decision, power allocation, allocation in multi‐user C‐MEC system, where nondivisible tasks may be executed locally, offloaded nearby devices, or...
Hybrid cloud is an emerging computing solution that leverages the power of public cloud, without abandoning computation resources existing on-premises data-centers. Further, wide adoption cloud-native technology, like containers, brings capability rapid horizontal and vertical scaling to task workloads. However, heterogeneity flexibility can bring more complexity processing performance optimization, especially with constrained energy consumption renting cost quota. In this paper, we seek...
Summary Recently, workflow applications are increasingly migrated to Function‐as‐a‐Service platforms which easy manage, highly‐scalable, and pay‐as‐you‐go. Meanwhile, users face challenges in migration of serverless because the lack efficient algorithm for memory configuration optimize performance. To this end, article proposes a heuristic urgency‐based UWC meta‐heuristic hybrid BPSO tackle time‐cost tradeoff. sorts functions allocates each function an appropriate size by greedy strategy....
Conotoxins, being small disulfide-rich and bioactive peptides, manifest notable pharmacological potential find extensive applications. However, the exploration of conotoxins' vast molecular space using traditional methods is severely limited, necessitating urgent need developing novel approaches. Recently, deep learning (DL)-based have advanced to generation proteins peptides. Nevertheless, limited data intricate structure conotoxins constrain application models in conotoxins. We propose...