195 citations · 208 across the 31 of their papers we have counts for
12 papers · 1 filter
Clutter Resilient Occlusion Avoidance for Tightly-Coupled Motion-Assisted Detection
Zhixuan Xie, Jianjun Chen, Guoliang Li +4
Occlusion is a key factor leading to detection failures. This paper proposes a motion-assisted detection (MAD) method that actively plans an executable path, for the robot to obser…
LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent
Kan Hu, Minxian Xu, Kejiang Ye +1
Microservices architecture has become the dominant architecture in cloud computing paradigm with its advantages of facilitating development, deployment, modularity and scalability.…
UELLM: A Unified and Efficient Approach for LLM Inference Serving
Yiyuan He, Minxian Xu, Jingfeng Wu +3
In the context of Machine Learning as a Service (MLaaS) clouds, the extensive use of Large Language Models (LLMs) often requires efficient management of significant query loads. Wh…
MSARS: A Meta-Learning and Reinforcement Learning Framework for SLO Resource Allocation and Adaptive Scaling for Microservices
Kan Hu, Linfeng Wen, Minxian Xu +1
Service Level Objectives (SLOs) aim to set threshold for service time in cloud services to ensure acceptable quality of service (QoS) and user satisfaction. Currently, many studies…
CloudNativeSim: a toolkit for modeling and simulation of cloud-native applications
Jingfeng Wu, Minxian Xu, Yiyuan He +2
Cloud-native applications are increasingly becoming popular in modern software design. Employing a microservice-based architecture into these applications is a prevalent strategy t…
StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications
Linfeng Wen, Minxian Xu, Sukhpal Singh Gill +4
Microservice architecture has transformed traditional monolithic applications into lightweight components. Scaling these lightweight microservices is more efficient than scaling se…
DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters
Haoyu Bai, Minxian Xu, Kejiang Ye +2
Microservices have transformed monolithic applications into lightweight, self-contained, and isolated application components, establishing themselves as a dominant paradigm for app…
Edge AI: A Taxonomy, Systematic Review and Future Directions
Sukhpal Singh Gill, Muhammed Golec, Jianmin Hu +12
Edge Artificial Intelligence (AI) incorporates a network of interconnected systems and devices that receive, cache, process, and analyze data in close communication with the locati…
Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales
Lujie Tang, Minxian Xu, Chengzhong Xu +1
Due to the limited resource capacity of edge servers and the high purchase costs of edge resources, service providers are facing the new challenge of how to take full advantage of…
TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information
Linfeng Wen, Minxian Xu, Adel N. Toosi +1
Cloud native solutions are widely applied in various fields, placing higher demands on the efficient management and utilization of resource platforms. To achieve the efficiency, lo…
Robotic Sensor Network: Achieving Mutual Communication Control Assistance With Fast Cross-Layer Optimization
Zhiyou Ji, Yujie Wan, Guoliang Li +4
Robotic sensor network (RSN) is an emerging paradigm that harvests data from remote sensors adopting mobile robots. However, communication and control functionalities in RSNs are i…
An Interference-aware Approach for Co-located Container Orchestration with Novel Metric
Xiang Li, Linfeng Wen, Minxian Xu +1
Container orchestration technologies are widely employed in cloud computing, facilitating the co-location of online and offline services on the same infrastructure. Online services…